180 Commits
Author SHA1 Message Date
Nikolaus Hegerandn13 cb6deb9139 bump version to v4.0.2 (#93)
CI / 🏁 Fast Checks (Format) (push) Has been cancelled
CI / 🛠️ Build & Test (push) Has been cancelled
CI / 🤖 Analysis (Clippy & Doc) (push) Has been cancelled
CI / 🏃 Benchmark (push) Has been cancelled
Co-authored-by: n13 <n13@users.noreply.github.com>
2026-09-01 23:25:24 +08:00
Nikolaus Heger 09323d33e4 Different kernels for Apple Metal vs Nvidia and everything else (#92)
* Select Apple Metal 4.0.1 kernel; keep 4.0.0 u64 elsewhere

NVIDIA was ~37% slower on the 4.0.1 Metal-tuned kernel. Split
Poseidon2 kernels and pick by backend:

- Metal + SHADER_INT64: v4.0.1 u64
- other SHADER_INT64: v4.0.0 u64
- no SHADER_INT64: 32-bit fallback (same as 4.0.0)

CI uploads the Linux release binary as an artifact so we can
bench NVIDIA without building on the GPU box.

* Drop version numbers from GPU kernel labels

Log native-u64 vs native-u64 Apple Metal without tying
the strings to release tags.
2026-09-01 23:21:43 +08:00
Nikolaus Heger ceff470a5f ci: pin the stable rust toolchain (#91)
CI resolved the floating stable channel, so Rust 1.98 shipped the
chunks_exact_to_as_chunks clippy lint and failed checks that passed on
an older local stable. Pin the exact version, matching how chain pins
its toolchains.
2026-09-01 19:03:54 +08:00
Nikolaus Hegerandn13 41ec132139 bump version to v4.0.1 (#89)
Co-authored-by: n13 <n13@users.noreply.github.com>
2026-09-01 19:03:05 +08:00
Nikolaus Heger ea5e5e742e Speed up the u64 mining kernel ~1.8x on Apple Metal (#87)
Apple M5 Pro, CLI benchmark: 24.0 -> 43.2 MH/s. Kernel output is
unchanged and bit-exact against the CPU reference.

Field arithmetic:
- Deferred-carry additions (Acc): the external layer and the internal
  row sum accumulate unreduced with a carry counter and fold once per
  output instead of two epsilon corrections per add.
- gf64_mul_add folds the row sum into the 128-bit product before a
  single plain reduction.
- mul_wide / gf64_sqr assemble the 128-bit product from 32-bit-valued
  partial sums with no carry compares.

Kernel structure (code size dominates on Apple's compiler; every
unrolled variant measured slower):
- One loop drives all 30 rounds so each layer is emitted once, with
  round constants added by the linear layer preceding each S-box
  (RC_EXT table, RC_INTERNAL padded with a trailing zero).
- One S-box site with a runtime lane count (12 external, 1 internal).
- mining_main runs pad / first squeeze / second squeeze through a
  single inlined permute64 call in a phase loop.

Measured and rejected: uniform buffers and unhoisted loads, workgroup
sizes 64/128/512, 8-add MDS, one-compare reduce, fully unrolled
layers, two nonces per thread.
2026-08-31 22:50:27 +08:00
I Dewa Gede Bisma Mahendra 696eb51125 feat: add dependency cooldown (#88) 2026-08-28 14:11:24 +08:00
Nikolaus Heger 8d0c9f8023 docs: update systemd example for the serve CLI with required node auth (#86)
* docs: update systemd example for the serve CLI with required node auth

The unit and readme still described the old HTTP-API miner (MINER_PORT,
MINER_ENGINE, no subcommand). Update ExecStart to 'serve' and document the
now-required MINER_AUTH_TOKEN_FILE / MINER_TLS_CERT_SHA256_FILE, including
how to copy the node's miner-auth-token and miner-tls-cert-sha256 files
past ProtectHome=true, and refresh the env var reference to the current
CLI.

* docs: fix env-file example and CPU-worker claims per review

- Move inline comments off the env assignments: systemd EnvironmentFile=
  keeps inline '# ...' text as part of the value, so the copied example fed
  Clap unparseable values and the unit crash-looped under Restart=always.
- Describe the real worker behavior: CPUs are counted via the process
  affinity mask (num_cpus); unset MINER_CPU_WORKERS auto-detects ~50%, and
  an explicit value is used as-is — there is no clamp or warning.
- Drop the 'logs the detected cpuset mask' claim from the unit and override
  comments; no such logging exists in the miner.

* docs: metrics exporter is always on; purge-chain does not rotate credentials

- The Prometheus exporter starts unconditionally and binds plaintext HTTP on
  0.0.0.0:9900 by default; MINER_METRICS_PORT only changes the port. Say so
  everywhere instead of 'when metrics are enabled', and add a hardening note
  to firewall the port.
- Rephrase the credential-rotation pitfall: purge-chain removes only the
  database, so the node reloads the same miner-auth-token and TLS cert;
  rotation only happens when the base path changes or the files themselves
  are deleted.
2026-08-14 11:46:35 +08:00
illuzenandn13 37f7837f76 bump version to v4.0.0 (#85)
Co-authored-by: n13 <n13@users.noreply.github.com>
2026-08-13 19:34:16 +08:00
illuzenandCursor 2c8d530de4 Send miner auth token in Ready handshake. (#78)
* Send miner auth token in Ready handshake.

Require --auth-token or --auth-token-file when connecting to a node so the
miner matches the node's shared-secret QUIC auth.

Co-authored-by: Cursor <cursoragent@cursor.com>

* Pin the node's miner TLS certificate by SHA-256 fingerprint.

Require --tls-cert-sha256 or --tls-cert-sha256-file so miners reject
MITM certs instead of accepting any self-signed server certificate.

Co-authored-by: Cursor <cursoragent@cursor.com>

* fmt

* Docs: prefer reading miner auth token from file, not node logs.

Co-authored-by: Cursor <cursoragent@cursor.com>

* Version the miner ALPN as quantus-miner/2 to match the node.

A node/miner protocol mismatch now fails cleanly at the TLS handshake with
"no application protocol" instead of an opaque auth error.

Co-authored-by: Cursor <cursoragent@cursor.com>

* point at git

* Depend on published quantus-miner-api 0.3.0 from crates.io.

The temporary git branch pin is no longer needed now that 0.3.0 is published.

Co-authored-by: Cursor <cursoragent@cursor.com>

* Fail closed on permanent auth/TLS misconfig instead of reconnect looping.

Validate the fingerprint and Ready frame size at miner/pool startup before
metrics, workers, or HTTP come up. Treat node auth rejection and pin mismatch
as PermanentConnectError (no retry), and only reset reconnect backoff after
the first NewJob proves auth succeeded.

Co-authored-by: Cursor <cursoragent@cursor.com>

* Point miner auth docs and examples at miner-auth-token / TLS pin files.

The node never logs the auth token; CLI/pool help and every serve/Docker
example now require the chain config files (or env vars) instead of implying
credentials can be copied from logs.

Co-authored-by: Cursor <cursoragent@cursor.com>

* fmt

* Remove the miner Dockerfile and Docker packaging docs/CI.

Container GPU access is a poor fit for this miner, and the Docker examples
were unusable with SocketAddr (hostnames rejected). Run the native binary
instead.

Co-authored-by: Cursor <cursoragent@cursor.com>

* Shut down the pool on permanent upstream auth failure; keep reconnecting otherwise.

Supervise run_node_client alongside HTTP so a bad token/pin ends the process
instead of leaving a live API on a dead upstream. Node restarts still reconnect
with backoff; the current job is cleared while disconnected so captchas are not
issued against a stale header.

Co-authored-by: Cursor <cursoragent@cursor.com>

* Replace obsolete EXTERNAL_MINER_PROTOCOL.md with a pointer to MINING.md.

The local copy still described the pre-auth protocol (no Ready token, no pin,
old ALPN, 16 MB frames). Canonical docs live in quantus-miner-api and the
node's MINING.md.

Co-authored-by: Cursor <cursoragent@cursor.com>

* Delete EXTERNAL_MINER_PROTOCOL.md; README already points at MINING.md.

Co-authored-by: Cursor <cursoragent@cursor.com>

---------

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-08-13 09:50:03 +08:00
Nikolaus Heger 2b966e780a Revert "Fuzz GPU/CPU parity at scale and CPU-verify every seal before submission"
This reverts commit b0cfc3005e.
2026-08-12 15:41:38 +08:00
Nikolaus HegerandClaude Fable 5 b0cfc3005e Fuzz GPU/CPU parity at scale and CPU-verify every seal before submission
Investigating reported seal submission failures. Root cause analysis:
the miner's job-id staleness chain (worker check, quic-loop filter,
node-side job_id compare) cannot mislabel a candidate — internal and
node job ids are updated atomically together. The remaining benign race
is node-side: a block-template rebuild (new pre_hash, same parent) does
not bump the node's job counter, so an in-flight seal mined on the old
template passes the job-id check and fails seal verification, logging
"Failed to submit seal". Fixing that belongs in the chain repo (bump the
job counter on template rebuild).

Miner-side hardening in this commit:

- gpu_cpu_parity is now a two-phase fuzzer. Phase 1 dumps FULL 512-bit
  hashes for randomized (header, nonce) pairs via the real
  midstate-resume datapath and verifies each against the canonical CPU
  implementation, multi-threaded (defaults to 1M hashes, ~5s; 10M runs
  in ~15s). Phase 2 fuzzes whole mining jobs with five profiles: random,
  carry-edge starts (saturated low limbs), 2^256-boundary crossings,
  impossible difficulty with exact hash-count assertion, and CPU-known
  solutions to catch false negatives. Seeded and reproducible; also
  asserts the submitted work bytes match the nonce.
  Verified clean: 10M bulk hashes + ~1,500 seals across 6 seeds.

- miner-service re-verifies every candidate on the CPU (one hash) before
  sending JobResult; an engine-produced invalid seal is never submitted
  and is logged loudly instead.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-08-12 14:24:05 +08:00
Nikolaus Heger 9b16df1dff Merge pull request #81 from Quantus-Network/gpu-poseidon2-optimization
GPU mining 4.1x faster on Apple Silicon: native-u64 Poseidon2, midstate precompute, lazy second squeeze
2026-08-12 12:10:58 +08:00
Nikolaus Heger 7e449c0a5f Benchmark: honor --gpu-batch-size/--cpu-batch-size and advance nonce ranges
The benchmark fed each worker a fixed range (10k CPU / 1M GPU nonces),
capping GPU dispatches at 1M regardless of --gpu-batch-size, and
re-searched the same range on every iteration. Worker ranges now step
through the nonce space and are sized from the batch flags, floored at
the old widths so tiny flags keep engine-internal cancellation batching
instead of turning per-call harness overhead into the measured quantity.
Batch-size flags are validated non-zero at parse time (serve and
benchmark) and echoed in the benchmark banner.
2026-08-12 12:04:44 +08:00
illuzen 22d87d4772 fix benches 2026-08-12 11:16:26 +08:00
Nikolaus HegerandClaude Fable 5 8aa81ec853 Disable naga runtime shader checks for the trusted mining shaders (+8-9%)
Exploring a fully native Metal port of the mining kernel showed it runs
~16% faster than the wgpu path at equal batch size. Decomposing that gap:
~9% is naga's injected runtime bounds checks and forced loop bounding,
~1.5% is mulhi()-based multiplication (inexpressible in WGSL), <1% is
the constant address space; the rest is binding/codegen residue.

The dominant term is recoverable inside wgpu on every backend:
the engine now builds its pipelines with create_shader_module_trusted +
ShaderRuntimeChecks::unchecked(). This is sound for our shaders: sources
are compiled into the binary, every buffer access is a constant-bounded
loop index into fixed-size bindings the engine allocates itself, all
loops have static bounds, and both variants remain covered by the
dual-shader component suite and the CPU parity example.

Apple M4: 11.39 -> 12.34 MH/s at the default 1M batch (+8.3%), 11.74 ->
12.73 MH/s at 8M (+8.4%). Cumulative vs main: 4.4x.

New examples/trusted_hashrate.rs measures checked vs trusted on the same
shader and CPU-verifies results.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-08-12 00:55:15 +08:00
Nikolaus HegerandClaude Fable 5 58615ed3fa Adopt PR #80 micro-optimizations that measure positive on the u64 kernel
Evaluated all ideas from #80 against the native-u64 kernel. Its three
main wins (lazy field arithmetic, precomputed sponge state, conditional
second squeeze) were already present in stronger form; two micro-opts
carried over and measured positive at large batches (+1.3% at 16M,
noise-level at the 1M default):

- Hoist midstate/target/start-nonce storage reads out of the nonce loop.
- Produce byte-swapped hash words on demand during the target compare,
  so the reject path skips building the swapped hash entirely.

Forcing nonces_per_thread=2 was also tested and regressed; one thread
per nonce stays.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-08-12 00:01:39 +08:00
Nikolaus HegerandClaude Fable 5 d55b970ab6 Optimize GPU Poseidon2 mining 4.1x on Apple Silicon (u64 shader, midstate, lazy squeeze)
Three stacked optimizations, each verified bit-exact against the CPU
reference (qp-poseidon-core) by the dual-shader component suite and a
new GPU/CPU parity example:

- mining_u64.wgsl: native 64-bit Goldilocks arithmetic with plonky2-style
  lazy reduction, used automatically when the adapter supports
  SHADER_INT64 (all Apple Silicon, NVIDIA, modern AMD). mining.wgsl
  remains the 32-bit fallback. (+50%)
- Midstate precompute: the first two of five sponge permutations absorb
  the header and high nonce half, both constant per batch; they are now
  computed once on the CPU (pow_core::mining_midstate) and resumed on
  the GPU. Batches are clamped so nonces never carry past 2^256. (+77%)
- Lazy second squeeze: the first squeeze yields the most significant 256
  bits of the hash, which decide hash-vs-target unless exactly equal to
  the target's high half, so the common reject path skips the final
  permutation. (+56%)

Apple M4 throughput: 2.81 -> 11.4 MH/s at the default 1M batch
(criterion large_range_1m/gpu: 355.8ms -> 86.3ms, -75.7%).

Also:
- Fix criterion GPU bench crash: thread-local worker resources are now
  tagged with an engine id so multiple GpuEngines per process never mix
  devices.
- Fix stale end-to-end test harness (6-binding layout) and run the full
  component suite against both shader variants.
- New examples: hashrate, gpu_cpu_parity (25 jobs incl. 2^256-boundary
  crossing), gpu_features.
- Add Apple M5 family GPU tiers.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-08-11 23:40:12 +08:00
Nikolaus Heger 0135e65278 Merge pull request #76 from Quantus-Network/add-security-policy
Add security policy
2026-08-11 22:08:43 +08:00
Nikolaus Heger 2eb0341a70 chore: bump qp-poseidon-core to 3.1.0 (#77)
Update workspace pin from 2.1.0 to 3.1.0 for sponge wipe hardening.
(qpow-math from the pinned chain tag may still pull 2.1.0 transitively.)
2026-08-08 15:47:42 +08:00
Nikolaus HegerandClaude Fable 5 0c61e3da34 Add security policy
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-08-07 12:11:38 +08:00
illuzenandCursor 71781a0a80 Add captcha share pool service and browser WASM solver (#74)
* Add captcha share pool service and browser WASM solver

pool-service connects to a node over the external-miner QUIC protocol and
turns browser captcha solves into real mining shares: sessions with disjoint
nonce ranges over the current header, single-use share tokens, a
reCAPTCHA-shaped /siteverify endpoint, and upstream block submission when a
share meets full network difficulty. solver-wasm is a raw C-ABI wasm32 build
of the Poseidon2 nonce grinder (no wasm-bindgen) for the embeddable widget.

Co-authored-by: Cursor <cursoragent@cursor.com>

* fmt

* Re-queue block solution when upstream write fails

A network-difficulty share taken off the solution channel was permanently
lost if the JobResult write to the node failed: the connection loop broke to
reconnect but the block was no longer anywhere. Park the block in a pending
slot that survives reconnection and is retried before any other work.

Co-authored-by: Cursor <cursoragent@cursor.com>

* fmt

* Address PR review: capacity limits, loud block drops, shared QUIC transport, constant-time secret compare

- Cap live sessions and tokens (configurable via --max-sessions/--max-tokens,
  default 100k each); /api/session returns 503 at_capacity so a request flood
  can no longer grow the maps without bound.
- A block solution that fails to queue upstream is now logged at error level,
  and blocks_found/block_found only report solutions actually queued.
- Extract the node QUIC connect + insecure-verifier pattern into a shared
  quic-transport crate used by both miner-service and pool-service; derive
  the network target via pow_core::JobContext instead of re-deriving it.
- Compare the site secret in constant time (constant_time_eq).
- Note single-tenant token semantics on site_secret for the host-registration
  follow-up.

Co-authored-by: Cursor <cursoragent@cursor.com>

* Add per-IP rate limiting on /api/session issuance

The global session cap stops unbounded map growth, but a single client could
still churn entries at the TTL boundary. Limit each IP to 60 issuances per
minute (configurable via --sessions-per-ip-per-min); excess requests get 429
rate_limited. Stale IP windows are GC'd alongside sessions/tokens.

Co-authored-by: Cursor <cursoragent@cursor.com>

* clippy

---------

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-07-07 17:52:38 +08:00
illuzen 15edf4a806 bump version to v3.3.1 (#73) 2026-06-30 16:34:53 +08:00
illuzen a47db3d1a2 Fix windows again (#72)
* handle lost device correctly

* Update lib.rs

* allow-integrated flag otherwise exclude

* DeviceLost is a status

* Integrated GPU skipped when discrete init fails

* nits
2026-06-30 16:30:11 +08:00
illuzen 8359892406 bump version to v3.3.0 (#71) 2026-06-30 13:47:10 +08:00
Nikolaus Hegerandilluzen d99be29a64 Select GPU adapters by backend to fix multi-backend OOM (#67)
On Windows wgpu enumerates each physical GPU once per backend (Vulkan +
DX12) plus a CPU-emulated fallback ("Microsoft Basic Render Driver").
Building a mining context for every entry causes VRAM contention and
OOMs the process during benchmark/serve startup (#61).

Instead of deduplicating by (vendor, device) PCI IDs - which would
collapse rigs with multiple identical cards into a single context - drop
CPU-emulated adapters and keep all adapters from the highest-ranked
backend present (Vulkan/Metal, then DX12). Within a single backend each
physical GPU appears exactly once, so identical cards are preserved by
construction and no physical-ID matching is needed.

Selected adapters are ordered discrete-first so `--gpu-devices 1` picks
the discrete card on hybrid laptops. Skipped adapters are logged at info
level; if nothing usable remains, init fails with an explicit error.

Selection logic is a pure index-based function unit-tested against the
exact enumeration reported in #61, identical multi-GPU rigs, DX12-only
machines, and software-only environments.

Co-authored-by: illuzen <illuzen@users.noreply.github.com>
2026-06-30 13:13:45 +08:00
illuzen 7296c003bb Improve Windows gpu support (#70)
* support AMD GPUs on windows

* add support for more GPUs

* remove shader dump from logs

* handle gpu initialization failure better

* fmt

* re-order matching to avoid mobile / desktop false positives

* harden gpu matching

* add tests to engine-gpu module

* handle dead device and failed mapping correctly

* handle timeout properly with tokio

* nits

* fix benchmarks

* fmt
2026-06-30 12:55:35 +08:00
I Dewa Gede Bisma Mahendra d37f1dc0e5 Merge pull request #69 from Quantus-Network/beast/add-use-main-in-workflow
feat: make dockerfile use main an option
2026-06-24 17:43:08 +08:00
Beast 4d53fff54b feat: make dockerfile use main an option 2026-06-24 17:16:00 +08:00
I Dewa Gede Bisma Mahendra 18e8539fa3 Merge pull request #68 from Quantus-Network/beast/fix-docker-build
fix: docker build
2026-06-24 17:00:40 +08:00
Beast 4ab6914331 fix: docker build 2026-06-24 16:44:49 +08:00
illuzen 16fb76c5e8 bump version to v3.2.0 (#66) 2026-06-12 10:56:36 +08:00
illuzen 157aa6fb5c Address v12 issues (#65)
* don't accept zero difficulty jobs

* bound job queue

* synchronous emit_payload

* cleaner gpu_batch_size type

* remove build script

* distance_threshold -> difficulty

* enable pq-cert checking with miner

* clearer logs

* Revert "enable pq-cert checking with miner"

This reverts commit 7a7f5394352b60d8c946f547f77a057504b29c44.

* update versions of relevant deps, including rand
2026-06-12 10:48:01 +08:00
illuzen 5ce62b3e12 add gpu-throttle arg (#64)
* add gpu-throttle arg

* smarter sleep logic

* document cli args
2026-05-22 23:31:54 +08:00
Quantus Network CIandilluzen 8de756f456 bump version to v3.1.0 (#59)
Co-authored-by: illuzen <illuzen@users.noreply.github.com>
2026-04-22 13:51:40 +08:00
illuzen d7bf27854f GPU fixes (#58)
* improve logging

* don't let the queue spill, just drain it

* move cancellation out of the shader, since it doesn't work

* simplify batch size mechanism, improve logs

* fmt

* address review items
2026-04-22 13:42:01 +08:00
Nikolaus Heger f563d24241 Merge pull request #54 from Quantus-Network/release/v3.0.1
Release v3.0.1
2026-04-20 14:53:32 +08:00
Nikolaus Heger 334e852edd Merge pull request #53 from Quantus-Network/use-default-for-node-address
default for node addr
2026-04-20 14:48:06 +08:00
n13 67cce3f3c9 bump version to v3.0.1 2026-04-20 05:20:11 +00:00
Nikolaus Heger 9ffb5b12e2 default for node addr 2026-04-20 13:08:37 +08:00
Quantus Network CIandilluzen a60d95c825 bump version to v3.0.0 (#51)
Co-authored-by: illuzen <illuzen@users.noreply.github.com>
2026-04-02 14:22:41 +08:00
illuzenandNikolaus Heger 417a3efd86 Single hash, new poseidon (#50)
* single hash, new poseidon

* fix build

* new poseidon api

* fmt

* fix race condition with stale jobs being reported

* fmt

* fix deps

* format toml

remove stale comments

---------

Co-authored-by: Nikolaus Heger <nheger@gmail.com>
2026-04-02 14:06:54 +08:00
illuzen 443f0f9f89 QUIC miner (#49)
* implement quic

* simpler names

* simplify worker logic

* simplify gpu configuration logic

* miner initiates and picks random start nonce

* remove mining service

* clean up logs and remove unused engines

* clean up metrics

* metrics fix

* shared worker pool, cpu driven cancellation

just 10x the gpu thru-put, no more batch-size on gpu

* fmt

* non-local git

* taplo derp

* fix the benches

* handle stale results correctly in gpu

* more accurate gpu hashrate

* fmt

* remove unused

* handle duplicate solutions, cli controls gpu cancel frequency

* put plonky2 back

* demote noisy log
2026-02-02 16:38:21 +08:00
Nikolaus Heger 0a07bb2de5 Merge pull request #48 from Quantus-Network/release/v2.1.2
Release v2.1.2
2026-01-08 09:16:47 +08:00
n13 35df5a3554 bump version to v2.1.2 2026-01-08 01:14:06 +00:00
Nikolaus Heger bf8721f41d Merge pull request #46 from Quantus-Network/fix_hashrate_2
hash rate fix
2026-01-08 09:13:10 +08:00
NIK 590ce82440 fmt 2026-01-08 09:08:29 +08:00
Nikolaus Heger 689e5f9bfd hash rate fix 2026-01-06 15:17:00 +08:00
Nikolaus Heger 059fa8322c Merge pull request #45 from Quantus-Network/n13/fix_hashrate
fix hash rate across all threads and devices
2026-01-06 13:30:01 +08:00
Nikolaus Heger 8295d27d25 format 2026-01-06 12:35:36 +08:00
Nikolaus Heger e817c1a5e3 fix hash rate across all threads and devices 2026-01-05 19:27:40 +08:00
Nikolaus Heger a8ecc6f03c Merge pull request #44 from Quantus-Network/release/v2.1.1
Release v2.1.1
2026-01-05 18:42:55 +08:00
n13 91170c6aea bump version to v2.1.1 2026-01-05 10:35:00 +00:00
Nikolaus Heger 4131b60ebb Merge pull request #43 from Quantus-Network/fix_gpu_cancel_issue
Fix gpu cancel issue
2026-01-05 18:33:57 +08:00
Nikolaus Heger de3ffa9fb9 Merge branch 'fix_gpu_cancel_issue' of github.com:Quantus-Network/quantus-miner into fix_gpu_cancel_issue 2026-01-05 17:47:52 +08:00
Nikolaus Heger ad46f200c0 fmt 2026-01-05 17:47:47 +08:00
Nikolaus Heger d14ebdf65c fix tests 2026-01-05 17:47:38 +08:00
Nikolaus Heger 6834dd2dff format 2026-01-05 17:41:35 +08:00
Nikolaus Heger af5564796b dynamic batch size for GPU 2026-01-05 17:15:10 +08:00
Nikolaus Heger ffc5b8f83c GPU batch size automatically adjusts to target duration 2026-01-05 15:53:14 +08:00
Nikolaus Heger 3a694ecee1 Merge pull request #41 from Quantus-Network/release/v2.1.0
Release v2.1.0
2025-12-31 18:22:26 +08:00
n13 b9e080e20c bump version to v2.1.0 2025-12-31 10:19:01 +00:00
Nikolaus Heger 3705fa96e7 Merge pull request #40 from Quantus-Network/GPU_contention_fix
Gpu contention fix
2025-12-31 12:40:31 +08:00
Nikolaus Heger c3e7d70a75 fix readme 2025-12-27 11:57:12 +08:00
Nikolaus Heger 0b0731b869 fmt 2025-12-27 11:40:11 +08:00
Nikolaus Heger 3b5f759fbd refactored and unified gpu devices number logic
use all GPUs by default, handle the parameter, disallow more GPU devices than available
2025-12-27 11:40:03 +08:00
Nikolaus Heger 06933d5745 fix ci 2025-12-26 14:06:49 +08:00
Nikolaus Heger 96853cad23 restore serve command 2025-12-26 14:03:00 +08:00
Nikolaus Heger 010eff6e71 fix readme 2025-12-26 13:59:21 +08:00
Nikolaus Heger 4e7280cb0f fux ci 2025-12-26 13:58:27 +08:00
Nikolaus Heger c2773cb80d remove feature cpu 2025-12-26 13:50:48 +08:00
Nikolaus Heger b79a9368e0 fmt 2025-12-26 13:45:18 +08:00
Nikolaus Heger f0aa971326 remove gpu feature, rename to gpu-devices
rename gpu-workers flag to devices, also check user doesn't specify more than they have (degrades performance)
2025-12-26 13:44:59 +08:00
Nikolaus Heger 23c617bda9 remove some AI dust 2025-12-26 13:10:46 +08:00
Nikolaus Heger 2a36eeb3c3 Change workflows to have only GPU build 2025-12-26 13:02:43 +08:00
Nikolaus Heger a548f74f7d fmt 2025-12-26 12:47:42 +08:00
Nikolaus Heger 97ec1350de Fix for #39
Fix GPU worker crash, enable GPU default, and improve benchmark output
2025-12-26 12:46:57 +08:00
Nikolaus Heger ac87758996 Fix GPU contention, benchmarking 2025-12-26 10:53:00 +08:00
Quantus Network CIandczareko bdcd939bc9 bump version to v2.0.2 (#38)
Co-authored-by: czareko <czareko@users.noreply.github.com>
2025-12-23 06:30:16 +08:00
Cezary Olborski a51df35ca1 fix: Release - osx version (#37)
* fix: Release - OSX Version for Intel

* fix: OSX only for Intel
2025-12-23 06:25:18 +08:00
Quantus Network CIandczareko 41579e8223 bump version to v2.0.1 (#36)
Co-authored-by: czareko <czareko@users.noreply.github.com>
2025-12-23 06:00:01 +08:00
Cezary Olborski 516286836a fix: Release build script syntax (#35) 2025-12-23 05:56:08 +08:00
Quantus Network CIandczareko 63a1d1f2d4 bump version to v2.0.0 (#34)
Co-authored-by: czareko <czareko@users.noreply.github.com>
2025-12-22 22:07:42 +08:00
Cezary Olborski ad2d2c90ba fix: ADMIN_PAT for release proposal (#33) 2025-12-22 22:03:40 +08:00
illuzen b3cef7bab8 fix ci (#32) 2025-12-22 21:25:15 +08:00
illuzenandNikolaus Heger a97d79632e Hybrid engine (#30)
* hybrid works with one gpu

* handle multiple gpus

* taplo

* fix clippy issues

* refactor to remove unnecessary abstraction layer

* update readme

* fix tests

* clippy

* delete hybrid engine

---------

Co-authored-by: Nikolaus Heger <nheger@gmail.com>
2025-12-22 21:05:31 +08:00
Nikolaus Heger 51ba298a68 Merge pull request #29 from Quantus-Network/n13/benchmark_command
add benchmark command
2025-12-19 19:37:55 +08:00
Nikolaus Heger 3ae66edf13 Merge branch 'main' into n13/benchmark_command 2025-12-19 19:37:00 +08:00
illuzenandNikolaus Heger 5a6de314ab add wgpu support (#28)
* ok wgpu runs hello world

* toy hasher

* separate wgsl file

* kinda poseidon2

* test vectors

* closer

* a bit of debug

* closer

* sort of almost

* fixed gf_mul

* merge gf_mul back into mining, clean up tests

* fix bytes_to_field_elements

* linear layer fixed

* maybe better?

* mds tests

* cleanup debug output

* found gf_mul bug

* fixed gf_mul bug

* efficient sbox again

* mds matches

* cleanup

* test internal layer

* cleaner

* external linear passes

* external layer tests

* fixed the constants

* moar tests

* more cleaning

* actually test just internal

* fairly clean tests now

* removed another pointless test

* more cleanup

* gf_from_const tests

* testing

* fixed permutations

* double hash tests, but they fail

* moar tests!

* hash-twice works, thanks Gemini 3 Pro!

* gpu runs but doesn't mine

* better logging

* lock workers to gpu

* send target to gpu not difficulty

* fix verify_nonce

* double hash failures

* double hash matches

* tests pass and it mines now

* fix benches

* a bit faster now

* improved logging

* fix benches

* simplified gpu code

* further simplification

* a bit simpler

* slight simplification

* a bit faster

* dynamic thread allocation and work coarsening

* more benching

* faster

* faster

* faster

* clean up documentation

* a bit faster

* simplify

* simplify

* optimized mds

* almost par with cpu now

* fmt

* clippy

* support multiple gpus

* clippy

* unused

* fixed some logs

---------

Co-authored-by: Nikolaus Heger <nheger@gmail.com>
2025-12-19 19:25:14 +08:00
Nikolaus Heger 3ca29b6d8a throw errors when there's no GPUs detected 2025-12-19 16:40:54 +08:00
Nikolaus Heger c276a1173e clean up options 2025-12-19 15:26:43 +08:00
Nikolaus Heger 6ae4658209 add benchmark command
so we can easily compare CPU and GPU without having to run cargo bench.
2025-12-19 15:22:24 +08:00
Nikolaus Heger f7209be81b fixed some logs 2025-12-19 14:42:02 +08:00
illuzen b4999ab448 unused 2025-12-13 17:45:05 +08:00
illuzen 1eaea91909 clippy 2025-12-13 17:42:43 +08:00
illuzen 52318aeaad support multiple gpus 2025-12-13 17:38:24 +08:00
illuzen 22fecf183e clippy 2025-12-13 17:07:24 +08:00
illuzen 0978d3bebd fmt 2025-12-13 16:21:28 +08:00
illuzen 8e073c110a almost par with cpu now 2025-12-11 15:55:50 +08:00
illuzen c13b0027f3 optimized mds 2025-12-11 14:55:14 +08:00
illuzen 3cb91c4798 simplify 2025-12-11 14:42:13 +08:00
illuzen 43e857dfba simplify 2025-12-11 04:01:31 +08:00
illuzen 83e0c9edce a bit faster 2025-12-11 00:39:23 +08:00
illuzen 1509e2283b clean up documentation 2025-12-09 23:07:57 +08:00
illuzen d423b5c1b1 faster 2025-12-09 22:40:41 +08:00
illuzen 6c7835f348 faster 2025-12-09 22:36:56 +08:00
illuzen 46202989df faster 2025-12-09 22:31:10 +08:00
illuzen 09b63783e0 more benching 2025-12-09 20:49:48 +08:00
illuzen e8e0d6acf4 dynamic thread allocation and work coarsening 2025-12-09 20:31:17 +08:00
illuzen 14022a367f a bit faster 2025-12-09 17:59:42 +08:00
illuzen 587303b480 slight simplification 2025-12-09 17:33:20 +08:00
illuzen 9c88ac7aff a bit simpler 2025-12-09 17:14:25 +08:00
illuzen ffe58596d4 further simplification 2025-12-09 16:58:52 +08:00
illuzen 0ab3049703 simplified gpu code 2025-12-09 15:53:19 +08:00
illuzen 30c3b3f1a7 fix benches 2025-12-08 15:46:15 +08:00
illuzen ccca629c49 improved logging 2025-12-08 14:55:47 +08:00
illuzen 5705d7fb1a a bit faster now 2025-12-03 18:30:41 +08:00
illuzen 9bb8c3cb3c fix benches 2025-12-03 18:15:41 +08:00
illuzen 44e62ce2f4 tests pass and it mines now 2025-12-03 17:48:52 +08:00
illuzen ded099d8bd double hash matches 2025-12-03 17:28:49 +08:00
illuzen 0ebb6c4058 double hash failures 2025-12-03 17:15:11 +08:00
illuzen d8ab215b94 fix verify_nonce 2025-12-03 15:53:03 +08:00
illuzen 0850cb9c92 send target to gpu not difficulty 2025-12-03 15:26:41 +08:00
illuzen 0bbeee332d lock workers to gpu 2025-12-03 14:32:44 +08:00
illuzen 57814d50df better logging 2025-12-03 11:45:34 +08:00
illuzen aa1cf2bb46 gpu runs but doesn't mine 2025-12-01 15:11:07 +08:00
illuzen 66d75b9d9f hash-twice works, thanks Gemini 3 Pro! 2025-12-01 14:31:03 +08:00
illuzen 1a34013d0b moar tests! 2025-11-23 23:18:36 +08:00
illuzen 765a51553e double hash tests, but they fail 2025-11-23 20:00:31 +08:00
illuzen 9f35010ce4 fixed permutations 2025-11-23 19:44:05 +08:00
illuzen 09be940f14 testing 2025-11-23 10:48:41 +08:00
illuzen aec1e76dfc gf_from_const tests 2025-11-23 10:40:38 +08:00
illuzen d0adeb5cf6 more cleanup 2025-11-23 10:31:47 +08:00
illuzen da19865de8 removed another pointless test 2025-11-22 23:50:48 +08:00
illuzen 16c400dfaa fairly clean tests now 2025-11-22 23:49:21 +08:00
illuzen 7d4f126bc7 actually test just internal 2025-11-22 22:53:20 +08:00
illuzen a91eaf6f32 more cleaning 2025-11-22 22:23:12 +08:00
illuzen 675e8564da moar tests 2025-11-22 20:49:07 +08:00
illuzen 8d18ad1fb1 fixed the constants 2025-11-22 20:09:20 +08:00
illuzen cf50bc6cb8 external layer tests 2025-11-22 19:58:41 +08:00
illuzen 9d70218fa9 external linear passes 2025-11-22 13:41:28 +08:00
illuzen 4a6c8936b3 cleaner 2025-11-22 13:29:30 +08:00
illuzen 021683b20e test internal layer 2025-11-22 12:38:20 +08:00
illuzen 2d3c940432 cleanup 2025-11-22 11:19:09 +08:00
illuzen 79e30ce9a2 mds matches 2025-11-21 19:33:31 +08:00
illuzen 82793591a6 efficient sbox again 2025-11-20 23:32:16 +08:00
illuzen a83d5e32a4 fixed gf_mul bug 2025-11-20 23:28:41 +08:00
illuzen b89cd1af72 found gf_mul bug 2025-11-20 23:16:48 +08:00
illuzen ed89a1f1d2 cleanup debug output 2025-11-20 22:30:46 +08:00
illuzen 12a2c94717 mds tests 2025-11-18 19:23:55 +08:00
illuzen a8e7bc669f maybe better? 2025-11-18 18:29:53 +08:00
illuzen 067abe7c18 linear layer fixed 2025-11-18 15:27:42 +08:00
illuzen 46282c3852 fix bytes_to_field_elements 2025-11-18 12:52:11 +08:00
illuzen 7aba4eac70 merge gf_mul back into mining, clean up tests 2025-11-18 10:54:43 +08:00
illuzen 4d0a8c425a fixed gf_mul 2025-11-18 10:20:48 +08:00
illuzen 45e0d7d384 sort of almost 2025-11-17 21:35:25 +08:00
illuzen 36cb0efb8a closer 2025-11-17 18:38:04 +08:00
illuzen 93696a5f4b a bit of debug 2025-11-17 17:40:38 +08:00
illuzen e7156dd890 closer 2025-11-17 17:05:35 +08:00
illuzen 9635482098 test vectors 2025-11-17 16:54:20 +08:00
illuzen c214aa9d47 kinda poseidon2 2025-11-17 16:51:32 +08:00
illuzen 6fc2e9a209 separate wgsl file 2025-11-17 16:49:51 +08:00
illuzen 4578e076ce toy hasher 2025-11-17 16:47:23 +08:00
illuzen 50958ef4da ok wgpu runs hello world 2025-11-17 16:37:38 +08:00
Cezary Olborski 029cf6640a fix: Docker release - Workflow rename (#27) 2025-11-17 11:59:25 +08:00
Cezary Olborski 6715169630 fix: Unknown target fix 2025-11-17 11:53:17 +08:00
Cezary Olborski 8c0938333d fix: Docker workflow paths (#26)
* fix: Docker workflow paths

* remove commented cuda-builder workflow
2025-11-17 10:56:06 +08:00
Cezary Olborski 6831d6a493 feat: Docker image + release (#25)
* feat: Dockerfile

* feat: Docker release

* fix: Cuda build in CI OFF
2025-11-17 09:26:43 +08:00
Nikolaus Heger aa9e7ca5f2 Merge pull request #23 from Quantus-Network/release/v1.0.0
Release v1.0.0

CUDA is failing but we don't support GPU mining in this release anyway.
2025-11-07 14:52:59 +08:00
n13 6902c650a9 bump version to v1.0.0 2025-11-07 06:46:28 +00:00
Nikolaus Heger e0f7beef74 make major update actually work
remove weird special case for 0.x.x
2025-11-07 14:44:55 +08:00
Nikolaus Heger e92c4f0769 update comment 2025-11-07 14:40:13 +08:00
Nikolaus Heger 06ddee497d remove montgomery from CI 2025-11-07 14:34:28 +08:00
illuzen 63d7e114c2 Support new pow algo on cpu, not gpu (#22)
* support new pow algo, remove montgomery

* format

* remove redundant check

* use local poseidon until we release

* back to release

* remove unnecessary fxn

* comment out cuda for now

* comment out open-cl

* fix more tests

* remove cuda jobs
2025-11-03 16:23:18 +08:00
Nikolaus Heger 57f69b6aae Merge pull request #21 from Quantus-Network/illuzen/use-qpow-math
use qpow-math package
2025-10-16 16:33:21 +08:00
Nikolaus Heger f35660c9e9 clippy 2025-10-16 16:03:25 +08:00
Nikolaus Heger 3466eff8b0 fmt 2025-10-16 16:01:10 +08:00
illuzen c0bfca592d added benchmarks 2025-10-13 23:10:41 +08:00
illuzen 6912470e84 removed unused files 2025-10-13 22:00:38 +08:00
illuzen 534b3ac2f8 qpow-math from git 2025-10-13 21:53:11 +08:00
illuzen ff3e65361a remove qpow reimplementation 2025-10-13 21:36:44 +08:00
74 changed files with 16059 additions and 9966 deletions
+23 -56
View File
@@ -49,11 +49,13 @@ jobs:
- uses: actions/checkout@v4
- name: setup rust
uses: actions-rust-lang/setup-rust-toolchain@v1
- name: compile
run: cargo build --locked --workspace
- name: compile (gpu)
run: |
cargo build --locked --workspace
timeout-minutes: 90
- name: test
run: cargo test --locked --workspace
- name: test (gpu)
run: |
cargo test --locked --workspace
timeout-minutes: 15
analysis:
@@ -66,64 +68,29 @@ jobs:
uses: actions-rust-lang/setup-rust-toolchain@v1
with:
components: clippy
- name: clippy
run: cargo clippy --locked --workspace
- name: clippy (all features)
run: cargo clippy --locked --workspace --all-features
timeout-minutes: 30
- name: doc
run: cargo doc --locked --workspace --no-deps
run: cargo doc --locked --workspace --no-deps --all-features
timeout-minutes: 15
cuda-build:
name: 🚀 CUDA Build (cuda=${{ matrix.cuda_tag }} sm=${{ matrix.sm }})
benchmark:
name: 🏃 Benchmark
needs: fast-checks
runs-on: ubuntu-latest
strategy:
fail-fast: false
matrix:
cuda_tag: ["12.9.0", "13.0.0"]
sm: ["86", "89", "120"]
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Check if cuda-builder image exists
id: check-image
run: |
if docker manifest inspect ghcr.io/quantus-network/cuda-builder:${{ matrix.cuda_tag }} >/dev/null 2>&1; then
echo "exists=true" >> "$GITHUB_OUTPUT"
echo "✅ CUDA builder image exists for ${{ matrix.cuda_tag }}"
else
echo "exists=false" >> "$GITHUB_OUTPUT"
echo "⚠️ CUDA builder image not found for ${{ matrix.cuda_tag }}, skipping build"
fi
- name: Build with cuda-builder image
if: steps.check-image.outputs.exists == 'true'
id: build
env:
CUDA_TAG: ${{ matrix.cuda_tag }}
SM: ${{ matrix.sm }}
GITHUB_SHA: ${{ github.sha }}
run: |
set -eux
SHORT_TAG="$(echo "${CUDA_TAG}" | sed -E 's/^([0-9]+\.[0-9]+).*/\1/')"
BIN="quantus-miner-cuda-${SHORT_TAG}-sm-${SM}"
mkdir -p .cargo-cache target
docker run --rm \
-e CUDA_ARCH=sm_${SM} \
-e CARGO_TERM_COLOR=always \
-e GITHUB_SHA="${GITHUB_SHA}" \
-v "${PWD}:/workspace" \
-v "${PWD}/.cargo-cache:/opt/cargo/registry" \
-v "${PWD}/target:/workspace/target" \
ghcr.io/quantus-network/cuda-builder:${CUDA_TAG} \
bash -lc 'cd /workspace && echo "CUDA version:" && nvcc --version && cargo build -p miner-cli --features cuda --release && strip target/release/quantus-miner || true'
install -m 0755 ./target/release/quantus-miner "./${BIN}"
echo "bin_path=./${BIN}" >> "$GITHUB_OUTPUT"
echo "short_tag=${SHORT_TAG}" >> "$GITHUB_OUTPUT"
- name: Upload artifact
if: steps.check-image.outputs.exists == 'true'
- uses: actions/checkout@v4
- name: setup rust
uses: actions-rust-lang/setup-rust-toolchain@v1
- name: build benchmark binary
run: cargo build -p miner-cli --release
timeout-minutes: 60
- name: upload linux release binary
uses: actions/upload-artifact@v4
with:
name: ${{ format('quantus-miner-cuda-{0}-sm-{1}', steps.build.outputs.short_tag, matrix.sm) }}
path: ${{ steps.build.outputs.bin_path }}
if-no-files-found: error
retention-days: 3
name: quantus-miner-linux-x86_64
path: target/release/quantus-miner
- name: run cpu benchmark
run: ./target/release/quantus-miner benchmark --cpu-workers 2 --duration 5
timeout-minutes: 10
-83
View File
@@ -1,83 +0,0 @@
name: Cuda Docker Image Builder
on:
workflow_dispatch:
push:
branches:
- main
paths:
- cuda-builder.cf
pull_request:
branches:
- main
paths:
- cuda-builder.cf
permissions:
contents: read
packages: write
jobs:
build-and-push:
name: cuda-builder:${{ matrix.cuda_tag }}
runs-on: ubuntu-latest
strategy:
fail-fast: false
matrix:
cuda_tag:
- 12.9.0
- 13.0.0
steps:
- shell: bash
run: |
echo "IMAGE_NAME=ghcr.io/${GITHUB_REPOSITORY_OWNER,,}/cuda-builder" >> "$GITHUB_ENV"
- name: Checkout repository
uses: actions/checkout@v4
- uses: ./.github/actions/disk
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
- name: Prepare Buildx cache
uses: actions/cache@v4
with:
path: /tmp/.buildx-cache
key: ${{ runner.os }}-buildx-cuda-builder-${{ matrix.cuda_tag }}-${{ github.sha }}
restore-keys: |
${{ runner.os }}-buildx-cuda-builder-${{ matrix.cuda_tag }}-
- name: Log in to GHCR
if: github.event_name == 'push'
uses: docker/login-action@v3
with:
registry: ghcr.io
username: ${{ github.repository_owner }}
password: ${{ secrets.GITHUB_TOKEN }}
- name: Build and (conditionally) push cuda-builder image
uses: docker/build-push-action@v5
with:
context: .
file: cuda-builder.cf
build-args: |
CUDA_TAG=${{ matrix.cuda_tag }}
pull: true
push: ${{ github.event_name == 'push' }}
tags: |
${{ env.IMAGE_NAME }}:${{ matrix.cuda_tag }}
labels: |
org.opencontainers.image.source=${{ github.repository }}
org.opencontainers.image.description=Pristine CUDA builder image (CUDA ${{ matrix.cuda_tag }})
org.opencontainers.image.licenses=Apache-2.0
org.opencontainers.image.title=cuda-builder
org.opencontainers.image.vendor=Quantus Network
cache-from: type=local,src=/tmp/.buildx-cache
cache-to: type=local,dest=/tmp/.buildx-cache-new,mode=max
provenance: false
- name: Move Buildx cache
run: |
rm -rf /tmp/.buildx-cache
mv /tmp/.buildx-cache-new /tmp/.buildx-cache
@@ -0,0 +1,13 @@
name: Dependency cooldown audit
on:
schedule:
- cron: '0 6 * * 1'
workflow_dispatch:
permissions:
contents: read
jobs:
audit:
uses: Quantus-Network/shared-workflows/.github/workflows/dependency-cooldown-audit.yml@v1
+14
View File
@@ -0,0 +1,14 @@
name: Dependency cooldown
on:
pull_request:
# labeled/unlabeled/edited are required so the gate re-runs when an
# emergency bypass label or reason is added.
types: [opened, synchronize, reopened, labeled, unlabeled, edited]
permissions:
contents: read
jobs:
dependency-cooldown:
uses: Quantus-Network/shared-workflows/.github/workflows/dependency-cooldown.yml@v1
+16 -24
View File
@@ -8,14 +8,14 @@ on:
workflow_dispatch:
inputs:
target_branch:
description: 'Target branch for the PR (default: main)'
description: "Target branch for the PR (default: main)"
required: false
type: string
default: 'main'
default: "main"
version_type:
description: 'Type of version bump'
description: "Type of version bump"
required: true
default: 'patch'
default: "patch"
type: choice
options:
- patch
@@ -26,7 +26,7 @@ on:
description: 'Custom version string (e.g., 1.2.3). Only used if version_type is "custom".'
required: false
is_draft:
description: 'Is this a draft release?'
description: "Is this a draft release?"
required: true
type: boolean
default: false
@@ -58,12 +58,12 @@ jobs:
run: |
# Get all version tags and sort them by version
latest_semver_tag=$(git tag -l "v[0-9]*.[0-9]*.[0-9]*" | sort -V | tail -n 1)
# If no tags found, use default
if [ -z "$latest_semver_tag" ]; then
latest_semver_tag="v0.0.0"
fi
echo "latest_tag_found=$latest_semver_tag" >> $GITHUB_OUTPUT
echo "Latest semantic version tag found: $latest_semver_tag"
@@ -96,15 +96,9 @@ jobs:
# Increment based on type
if [[ "$VERSION_TYPE" == "major" ]]; then
if [[ "$major" == "0" ]]; then # Handle 0.x.y -> 0.(x+1).0
major=$major
minor=$((minor + 1))
patch=0
else
major=$((major + 1))
minor=0
patch=0
fi
major=$((major + 1))
minor=0
patch=0
elif [[ "$VERSION_TYPE" == "minor" ]]; then
minor=$((minor + 1))
patch=0
@@ -152,11 +146,11 @@ jobs:
# Create new branch from source branch
git checkout "$SOURCE_BRANCH"
git checkout -b "$branch_name"
# Update version in workspace Cargo.toml (safer than cargo set-version)
echo "Updating workspace Cargo.toml to version: $new_cargo_version"
sed -i -E "s/^version\s*=\s*\"[0-9a-zA-Z.-]+\"/version = \"$new_cargo_version\"/" Cargo.toml
# Regenerate Cargo.lock with precise updates for our packages only
cargo update -p miner-cli --precise "$new_cargo_version"
cargo update -p miner-service --precise "$new_cargo_version"
@@ -164,17 +158,15 @@ jobs:
cargo update -p metrics --precise "$new_cargo_version"
cargo update -p miner-telemetry --precise "$new_cargo_version"
cargo update -p engine-cpu --precise "$new_cargo_version"
cargo update -p engine-gpu-cuda --precise "$new_cargo_version"
cargo update -p engine-gpu-opencl --precise "$new_cargo_version"
cargo update -p engine-montgomery --precise "$new_cargo_version"
cargo update -p engine-gpu --precise "$new_cargo_version"
# Verify everything compiles correctly
cargo check --workspace
# Commit changes
git config user.name "${{ github.actor }}"
git config user.email "${{ github.actor }}@users.noreply.github.com"
git add Cargo.toml Cargo.lock
git commit -m "bump version to $NEW_VERSION"
git push origin "$branch_name"
+26 -14
View File
@@ -38,18 +38,18 @@ jobs:
echo "Error: Could not extract version from PR title: ${{ github.event.pull_request.title }}"
exit 1
fi
VERSION=${VERSION_TAG#v}
echo "version=$VERSION" >> $GITHUB_OUTPUT
echo "tag=$VERSION_TAG" >> $GITHUB_OUTPUT
# Check if this is a draft release
if [[ "${{ contains(github.event.pull_request.labels.*.name, 'draft-release') }}" == "true" ]]; then
echo "is_draft=true" >> $GITHUB_OUTPUT
else
echo "is_draft=false" >> $GITHUB_OUTPUT
fi
echo "Extracted version: $VERSION"
echo "Extracted tag: $VERSION_TAG"
@@ -66,14 +66,22 @@ jobs:
strategy:
matrix:
include:
# Linux builds
- os: ubuntu-latest
target: x86_64-unknown-linux-gnu
binary_name: quantus-miner
asset_name: quantus-miner-linux-x86_64
# Windows builds
- os: windows-latest
target: x86_64-pc-windows-msvc
binary_name: quantus-miner.exe
asset_name: quantus-miner-windows-x86_64.exe
# macOS builds (Intel)
- os: macos-15-intel
target: x86_64-apple-darwin
binary_name: quantus-miner
asset_name: quantus-miner-macos-x86_64
# macOS builds (Apple Silicon)
- os: macos-latest
target: aarch64-apple-darwin
binary_name: quantus-miner
@@ -83,15 +91,21 @@ jobs:
- uses: actions/checkout@v4
with:
ref: ${{ needs.create-tag.outputs.tag }}
- name: setup rust
uses: actions-rust-lang/setup-rust-toolchain@v1
with:
target: ${{ matrix.target }}
- name: build binary
run: cargo build --release --locked --target ${{ matrix.target }}
shell: bash
run: |
if [[ -n "${{ matrix.features }}" ]]; then
cargo build --release --locked --target ${{ matrix.target }} --features ${{ matrix.features }}
else
cargo build --release --locked --target ${{ matrix.target }}
fi
- name: prepare binary
shell: bash
run: |
@@ -102,7 +116,7 @@ jobs:
cp ${{ matrix.binary_name }} ${{ matrix.asset_name }}
strip ${{ matrix.asset_name }}
fi
- name: upload binary artifact
uses: actions/upload-artifact@v4
with:
@@ -116,12 +130,12 @@ jobs:
- uses: actions/checkout@v4
with:
ref: ${{ needs.create-tag.outputs.tag }}
- name: download all artifacts
uses: actions/download-artifact@v4
with:
path: artifacts
- name: create release
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
@@ -134,12 +148,10 @@ jobs:
else
DRAFT_FLAG=""
fi
# Create release with all artifacts
gh release create "$TAG" \
--title "Release $TAG" \
--generate-notes \
$DRAFT_FLAG \
artifacts/quantus-miner-linux-x86_64/quantus-miner-linux-x86_64 \
artifacts/quantus-miner-windows-x86_64.exe/quantus-miner-windows-x86_64.exe \
artifacts/quantus-miner-macos-aarch64/quantus-miner-macos-aarch64
artifacts/*/quantus-miner-*
Generated
+2048 -772
View File
File diff suppressed because it is too large Load Diff
+9 -11
View File
@@ -1,14 +1,15 @@
[workspace]
members = [
"crates/engine-cpu",
"crates/engine-gpu-cuda",
"crates/engine-gpu-opencl",
"crates/engine-montgomery",
"crates/engine-gpu",
"crates/metrics",
"crates/miner-cli",
"crates/miner-service",
"crates/miner-telemetry",
"crates/pool-service",
"crates/pow-core",
"crates/quic-transport",
"crates/solver-wasm",
]
default-members = ["crates/miner-cli"]
resolver = "2"
@@ -17,7 +18,7 @@ resolver = "2"
edition = "2021"
authors = ["Quantus Network"]
description = "Quantus External Miner Workspace"
version = "0.3.0"
version = "4.0.2"
[workspace.dependencies]
anyhow = "1"
@@ -31,18 +32,15 @@ num-bigint = { version = "0.4", features = ["rand"] }
num-traits = "0.2"
num_cpus = "1.16"
primitive-types = { version = "0.13.1", default-features = false }
qp-poseidon-core = { version = "0.9.5", default-features = false }
quantus-miner-api = { version = "0.0.3", default-features = false }
rand = { version = "0.8.5", default-features = false }
qp-poseidon-core = { version = "3.1.0", default-features = false }
qpow-math = { git = "https://github.com/Quantus-Network/chain.git", tag = "v0.7.1-q-day-2", package = "qpow-math", default-features = false }
quantus-miner-api = "0.3.0"
rand = { version = "0.9", default-features = false, features = ["std", "std_rng", "thread_rng"] }
serde = { version = "1.0", features = ["derive"] }
serde_json = { version = "1.0.132", default-features = false }
thiserror = "1"
tokio = { version = "1.36", features = ["full"] }
warp = "0.3"
# Use local pow-core crate instead of the external qpow-math; keep API compatibility at the engine layer.
# qpow-math intentionally omitted here.
# GPU backend dependencies are declared in individual engine crates (no optional deps in workspace)
[profile.release]
opt-level = 3
-256
View File
@@ -1,256 +0,0 @@
# External Miner Protocol Specification
This document defines the JSON-based HTTP protocol for communication between the Resonance Network node and an external QPoW miner service.
## Overview
The node delegates the mining task (finding a valid nonce) to an external service. The node provides the necessary parameters (header hash, difficulty, nonce range) and the external miner searches for a valid nonce according to the QPoW rules defined in the `qpow-math` crate. The miner returns the result, including the winning nonce, when found.
## Data Types
See the `resonance-miner-api` crate for the canonical Rust definitions of these structures.
- `job_id`: String (UUID recommended) - Unique identifier for a specific mining task, generated by the node.
- `mining_hash`: String (64 hex chars, no 0x) - The header hash for which to find a nonce.
- `difficulty`: String (u64 as string) - The target difficulty for the mining job.
- `nonce_start`: String (128 hex chars, no 0x) - The starting nonce value (inclusive) for the search range.
- `nonce_end`: String (128 hex chars, no 0x) - The ending nonce value (inclusive) for the search range.
- `status`: Enum (`ApiResponseStatus`) - Indicates the state or result of an API call.
- `message`: String (optional) - Provides details for `Error` status responses.
- `nonce`: String (Hex, no 0x) - Represents the `U512` value of the current or winning nonce.
- `work`: String (128 hex chars, no 0x) - Represents the winning nonce as `[u8; 64]`. This is the value the node needs for verification.
- `hash_count`: Number (u64) - Number of nonces checked by the miner for the job.
- `elapsed_time`: Number (f64) - Time in seconds the miner spent on the job.
## Endpoints
### 1. Submit Mining Job
- **Endpoint:** `POST /mine`
- **Description:** The node requests the external miner to start searching for a valid nonce.
- **Request Body (`MiningRequest`):**
```json
{
"job_id": "...",
"mining_hash": "...",
"difficulty": "...",
"nonce_start": "...",
"nonce_end": "..."
}
```
- **Response Body (`MiningResponse`):**
- Success (200 OK):
```json
{
"status": "accepted",
"job_id": "..."
}
```
- Error (400 Bad Request - Invalid Input / 409 Conflict - Duplicate Job ID):
```json
{
"status": "error",
"job_id": "...",
"message": "..." // e.g., "Job already exists", "Invalid mining_hash (...)"
}
```
### 2. Get Job Result
- **Endpoint:** `GET /result/{job_id}`
- **Description:** The node polls the external miner to check the status and retrieve the result.
- **Path Parameter:**
- `job_id`: String (UUID) - The ID of the job to query.
- **Response Body (`MiningResult`):**
- Job Completed (200 OK):
```json
{
"status": "completed",
"job_id": "...",
"nonce": "...", // U512 hex value of winning nonce
"work": "...", // [u8; 64] hex value of winning nonce
"hash_count": ..., // u64
"elapsed_time": ... // f64 seconds
}
```
- Job Still Running (200 OK):
```json
{
"status": "running",
"job_id": "...",
"nonce": "...", // Current nonce being checked (U512 hex)
"work": null,
"hash_count": ..., // u64
"elapsed_time": ... // f64 seconds
}
```
- Job Failed (e.g., nonce range exhausted) (200 OK):
```json
{
"status": "failed",
"job_id": "...",
"nonce": "...", // Final nonce checked (U512 hex)
"work": null,
"hash_count": ..., // u64
"elapsed_time": ... // f64 seconds
}
```
- Job Not Found (404 Not Found):
```json
{
"status": "not_found",
"job_id": "...",
"nonce": null,
"work": null,
"hash_count": 0,
"elapsed_time": 0.0
}
```
### 3. Cancel Mining Job
- **Endpoint:** `POST /cancel/{job_id}`
- **Description:** The node requests the external miner to stop working on a specific job.
- **Path Parameter:**
- `job_id`: String (UUID) - The ID of the job to cancel.
- **Request Body:** (Empty)
- **Response Body (`MiningResponse`):
- Success (200 OK):
```json
{
"status": "cancelled",
"job_id": "..."
}
```
- Job Not Found (404 Not Found):
```json
{
"status": "not_found",
"job_id": "..."
}
```
## Notes
- All hex values (`mining_hash`, `nonce_start`, `nonce_end`, `nonce`, `work`) should be sent **without** the `0x` prefix.
- The miner must implement the validation logic defined in `qpow_math::is_valid_nonce`.
- The node relies primarily on the `work` field in the `MiningResult` (when status is `completed`) for constructing the `QPoWSeal`.
# External Miner Protocol Specification
This document defines the JSON-based HTTP protocol for communication between the node and an external QPoW miner.
## Overview
The node delegates the mining task to an external service. The node provides the necessary parameters (mining hash, difficulty, and a nonce range) and the external miner searches for a valid nonce within that range. The miner returns the nonce and the resulting work hash when a solution is found.
## Data Types
- `job_id`: String (UUID recommended) - Identifier for a specific mining task.
- `mining_hash`: String (Hex-encoded, 32-byte hash, H256) - The hash derived from the block header data that the miner needs to solve.
- `difficulty`: String (Decimal representation of u64) - The target difficulty for the block.
- `nonce_start`: String (Hex-encoded, 64-byte value, U512) - The starting nonce value (inclusive).
- `nonce_end`: String (Hex-encoded, 64-byte value, U512) - The ending nonce value (inclusive).
- `nonce`: String (Hex-encoded, 64-byte value, U512) - The solution found by the miner.
- `work`: String (Hex-encoded, 32-byte hash, H256) - The hash resulting from the combination of `mining_hash` and `nonce`, meeting the difficulty requirement.
- `status`: String Enum - Indicates the state or result of an API call.
## Endpoints
### 1. Start Mining Job
- **Endpoint:** `POST /mine`
- **Description:** The node requests the external miner to start searching for a valid nonce within the specified range for the given parameters.
- **Request Body (application/json):**
```json
{
"job_id": "...", // String (UUID), generated by the node
"mining_hash": "...", // Hex String (H256)
"difficulty": "...", // String (u64 decimal)
"nonce_start": "...", // Hex String (U512 hex)
"nonce_end": "..." // Hex String (U512 hex)
}
```
- **Response Body (application/json):**
- Success (200 OK):
```json
{
"status": "accepted",
"job_id": "..." // String (UUID), confirming the job ID received
}
```
- Error (e.g., 400 Bad Request, 500 Internal Server Error):
```json
{
"status": "rejected",
"reason": "..." // String (Description of error)
}
```
### 2. Get Job Result
- **Endpoint:** `GET /result/{job_id}`
- **Description:** The node polls the external miner to check the status and retrieve the result of a previously submitted job.
- **Path Parameter:**
- `job_id`: String (UUID) - The ID of the job to query.
- **Response Body (application/json):**
- Solution Found (200 OK):
```json
{
"status": "found",
"job_id": "...", // String (UUID)
"nonce": "...", // Hex String (U512 hex)
"work": "CAFEBABE01.." // Hex String (H256 hex)
}
```
- Still Working (200 OK):
```json
{
"status": "working",
"job_id": "..." // String (UUID)
}
```
- Job Stale/Cancelled (200 OK): Indicates the job is no longer valid (e.g., the node requested cancellation or submitted work for a newer block).
```json
{
"status": "stale",
"job_id": "..." // String (UUID)
}
```
- Job Not Found (404 Not Found):
```json
{
"status": "not_found",
"job_id": "..." // String (UUID)
}
```
### 3. Cancel Mining Job
- **Endpoint:** `POST /cancel/{job_id}`
- **Description:** The node requests the external miner to stop working on a specific job. This is typically used when the node receives a new block or its mining parameters change, making the old job obsolete.
- **Path Parameter:**
- `job_id`: String (UUID) - The ID of the job to cancel.
- **Request Body:** (Empty)
- **Response Body (application/json):**
- Success (200 OK):
```json
{
"status": "cancelled",
"job_id": "..." // String (UUID)
}
```
- Job Not Found (404 Not Found):
```json
{
"status": "not_found",
"job_id": "..." // String (UUID)
}
```
## Notes
- The external miner should iterate from `nonce_start` up to and including `nonce_end` when searching for a valid nonce.
- The miner should return the `nonce` and the calculated `work` hash when a solution is found.
- The node uses the returned `nonce` and `work` (along with the fetched `difficulty`) to construct the `QPoWSeal` and submit it.
- The external miner should not need to know anything about the runtime or the code; it only needs to perform the nonce search and return the results.
+129 -214
View File
@@ -1,244 +1,159 @@
# External Miner Service for Quantus Network
Note: This repository is now a Cargo workspace. Build and run the CLI with:
- cargo build -p miner-cli --release
- cargo run -p miner-cli -- --port 9833 [--metrics-port 9900] [--workers N]
This crate provides an external mining service that can be used with a Quantus Network node. It exposes an HTTP API for
managing mining jobs.
High-performance external mining service for Quantus Network with support for CPU, GPU, and hybrid CPU+GPU mining.
## Building
To build the external miner service, navigate to the `miner` directory within the repository and use Cargo:
```bash
cd quantus-miner
cargo build --release
# CPU-only build (default)
cargo build -p miner-cli --release
# With GPU support (recommended)
cargo build -p miner-cli --release
```
This will compile the binary and place it in the `target/release/` directory.
## CUDA Build (optional, Linux only)
The CUDA backend is feature-gated and currently supported on Linux with NVIDIA GPUs. macOS is not supported for CUDA.
Build with CUDA enabled:
```bash
# Build the CLI with CUDA feature (compiles .cu kernels to PTX via nvcc)
cargo build -p miner-cli --features cuda --release
```
At runtime, select the engine with:
```bash
# Will error if CUDA runtime/driver is unavailable
./target/release/quantus-miner --engine gpu-cuda --metrics-port 9919
```
Environment knobs used by the CUDA build:
- NVCC: Path to the nvcc binary (optional if in PATH)
- CUDA_HOME or CUDA_PATH: Used to locate nvcc at $CUDA_HOME/bin/nvcc when NVCC is unset
- CUDA_ARCH: Compute capability target for PTX (default: sm_70)
If nvcc isn’t found, the build will continue but skip compiling kernels; the GPU engine will then fall back to CPU at runtime.
### Ubuntu (22.04/24.04) setup
Install NVIDIA driver and CUDA toolkit:
```bash
# Install proprietary driver (pick latest recommended)
sudo ubuntu-drivers autoinstall
sudo reboot
# CUDA toolkit (provides nvcc). Option A: Ubuntu package (may be older):
sudo apt update
sudo apt install -y nvidia-cuda-toolkit
# Verify nvcc
nvcc --version
```
For newer toolkits, consider NVIDIA’s official repo: https://developer.nvidia.com/cuda-downloads
### Fedora 42 (dnf5) setup
Install NVIDIA driver and CUDA toolkit:
```bash
# Enable RPM Fusion for proprietary NVIDIA drivers (driver comes from here)
sudo dnf5 install -y https://download1.rpmfusion.org/nonfree/fedora/rpmfusion-nonfree-release-$(rpm -E %fedora).noarch.rpm
# Install driver (akmod builds the module for your current kernel)
sudo dnf5 install -y akmod-nvidia
sudo reboot
# Add NVIDIA CUDA repo (for toolkit only) by creating a pinned repo file
sudo tee /etc/yum.repos.d/cuda-fedora$(rpm -E %fedora).repo >/dev/null <<'EOF'
[cuda-fedora$releasever-x86_64]
name=NVIDIA CUDA Fedora $releasever - x86_64
baseurl=https://developer.download.nvidia.com/compute/cuda/repos/fedora$releasever/x86_64/
enabled=1
gpgcheck=1
repo_gpgcheck=1
gpgkey=https://developer.download.nvidia.com/compute/cuda/repos/fedora$releasever/x86_64/7fa2af80.pub
# Keep NVIDIA drivers from RPM Fusion; do not install any drivers from this repo
excludepkgs=cuda-drivers*,nvidia-driver*,xorg-x11-drv-nvidia*,kernel*
EOF
# Install CUDA toolkit and versioned nvcc; drivers remain from RPM Fusion due to excludepkgs above
# Discover nvcc package version and install alongside toolkit (example uses 13-0):
sudo dnf5 search cuda-nvcc
sudo dnf5 install -y cuda-toolkit cuda-nvcc-13-0 gcc14
# Verify nvcc
nvcc --version
# If nvcc is not on PATH, add it or set CUDA_HOME/NVCC (example for version 13.0):
export CUDA_HOME=/usr/local/cuda-13.0
export PATH="$CUDA_HOME/bin:$PATH"
# Or point the build directly at nvcc:
export NVCC="$CUDA_HOME/bin/nvcc"
```
#### Fedora 42 (dnf5): match CUDA toolkit to the installed driver (RPM Fusion)
If your NVIDIA driver comes from RPM Fusion (recommended) and reports a CUDA Version (via nvidia-smi) that doesn’t match the CUDA toolkit available in the NVIDIA Fedora 42 repo, install the matching toolkit from the NVIDIA archive. This avoids PTX/CUBIN incompatibilities between toolkit and driver.
- Check your driver’s CUDA Version:
```bash
nvidia-smi | grep "CUDA Version"
# Example: CUDA Version: 12.9
```
- Download the matching “local installer” repo RPM from the NVIDIA archive with a resilient downloader (NVIDIA servers can be flaky; use resume/retry):
```bash
# Example for CUDA 12.9 on Fedora 41 (works on Fedora 42 too):
curl --fail --location --retry 9999 --retry-delay 3 --retry-max-time 0 \
--continue-at - \
--output ~/Downloads/cuda-repo-fedora41-12-9-local-12.9.0_575.51.03-1.x86_64.rpm \
--url https://developer.download.nvidia.com/compute/cuda/12.9.0/local_installers/cuda-repo-fedora41-12-9-local-12.9.0_575.51.03-1.x86_64.rpm
```
- Install the local repo RPM:
```bash
sudo dnf5 install -y ~/Downloads/cuda-repo-fedora41-12-9-local-12.9.0_575.51.03-1.x86_64.rpm
```
- Prevent driver packages from the NVIDIA repo (keep drivers from RPM Fusion):
```bash
# Add excludes to the generated repo file (name may vary slightly)
sudo sed -i '/^\[cuda-/,/^$/ {
/^\s*excludepkgs=/d
}' /etc/yum.repos.d/cuda-fedora41-12-9-local.repo
echo "excludepkgs=cuda-drivers*,nvidia-driver*,xorg-x11-drv-nvidia*,kernel*" | \
sudo tee -a /etc/yum.repos.d/cuda-fedora41-12-9-local.repo
```
- Install the matching toolkit and nvcc from the local NVIDIA repo (exclude drivers):
```bash
sudo dnf5 install -y cuda-toolkit cuda-nvcc-12-9 --exclude='cuda-drivers*'
```
- Make nvcc available to the build (12.9 example):
```bash
export CUDA_HOME=/usr/local/cuda-12.9
export PATH="$CUDA_HOME/bin:$PATH"
export NVCC="$CUDA_HOME/bin/nvcc"
# Verify
nvcc --version
```
- Build with the matching toolkit (example, RTX 3060/Ampere):
```bash
CUDA_ARCH=sm_86 cargo build -p miner-cli --features cuda --release
```
Notes:
- Using the Fedora 41 local repo RPM on Fedora 42 is acceptable for the CUDA user-space toolkit; we only need nvcc and toolchain, not the driver.
- Always keep the NVIDIA driver from RPM Fusion. The excludepkgs line ensures the toolkit install will not replace your driver.
- If nvcc is still not on PATH after install, set NVCC explicitly as above.
### Notes
- Ensure your user can access the GPU device nodes (e.g., part of the video group when required).
- The build script compiles any .cu under crates/engine-gpu-cuda/src/kernels into PTX and sets ENGINE_GPU_CUDA_PTX_DIR for the crate to load at runtime.
- Architecture targeting (optional, per-GPU tuning):
- Ampere (RTX 3060): `CUDA_ARCH=sm_86 cargo build -p miner-cli --features cuda --release`
- Ada (RTX 4090): `CUDA_ARCH=sm_89 cargo build -p miner-cli --features cuda --release`
- CC 12.0 (e.g., RTX 5090):
- Forward-compatible PTX: `CUDA_ARCH=compute_120 cargo build -p miner-cli --features cuda --release`
- Tuned for SM: `CUDA_ARCH=sm_120 cargo build -p miner-cli --features cuda --release`
- If unset, the default `sm_70` PTX will still JIT on newer GPUs (just with less arch-specific tuning).
## Configuration
The service can be configured using command-line arguments or environment variables.
| Argument | Environment Variable | Description | Default |
|-------------------|----------------------|--------------------------------------------|---------------|
| `--port <PORT>` | `MINER_PORT` | The port for the HTTP server to listen on. | `9833` |
| `--workers <N>` | `MINER_WORKERS` | The number of worker threads (logical CPUs) to use for mining. | Auto-detected (leaves ~half available) |
Example:
```bash
# Run on the default port 9833 using about half of total cpu resources
../target/release/quantus-miner
# Run on a custom port with 4 workers (logical CPUs)
../target/release/quantus-miner --port 8000 --workers 4
# Equivalent using environment variables
export MINER_PORT=8000
export MINER_WORKERS=4
../target/release/quantus-miner
```
The binary will be available at `target/release/quantus-miner`.
## Running
After building the service, you can run it directly from the command line:
The node requires a shared auth token and TLS cert pin. Both live under the
node's chain config dir (`<base-path>/chains/<chain>/`):
- `miner-auth-token` — shared secret (**not** logged by the node; read this file)
- `miner-tls-cert-sha256` — SHA-256 of the miner TLS cert (also printed in node logs)
```bash
# Run with default settings
RUST_LOG=info ../target/release/quantus-miner
# Preferred: mount/read the node's chain config files
./target/release/quantus-miner serve \
--node-addr 127.0.0.1:9833 \
--auth-token-file /path/to/miner-auth-token \
--tls-cert-sha256-file /path/to/miner-tls-cert-sha256 \
--cpu-workers 4
# Run with a specific port and 2 workers
RUST_LOG=info ../target/release/quantus-miner --port 12345 --workers 2
# Run in debug mode
RUST_LOG=info,miner=debug ../target/release/quantus-miner --workers 4
# Or pass values directly (token from miner-auth-token; fingerprint also in node logs)
./target/release/quantus-miner serve \
--node-addr 127.0.0.1:9833 \
--auth-token <TOKEN> \
--tls-cert-sha256 <FINGERPRINT> \
--gpu-devices 1
# Hybrid CPU+GPU mining
./target/release/quantus-miner serve \
--node-addr 127.0.0.1:9833 \
--auth-token-file /path/to/miner-auth-token \
--tls-cert-sha256-file /path/to/miner-tls-cert-sha256 \
--cpu-workers 4 \
--gpu-devices 1
```
The service will start and log messages to the console, indicating the port it's listening on and the number of worker threads in use.
## Configuration
Example output:
| Argument | Environment Variable | Description | Default |
|----------|---------------------|-------------|---------|
| `--node-addr <ADDR>` | `MINER_NODE_ADDR` | Node address to connect to | `127.0.0.1:9833` |
| `--auth-token <TOKEN>` | `MINER_AUTH_TOKEN` | Shared secret from the node's `miner-auth-token` file (not logged) | required |
| `--auth-token-file <PATH>` | `MINER_AUTH_TOKEN_FILE` | Read the shared secret from a file (preferred) | — |
| `--tls-cert-sha256 <HEX>` | `MINER_TLS_CERT_SHA256` | SHA-256 of the node's miner TLS cert (`miner-tls-cert-sha256` / node logs) | required |
| `--tls-cert-sha256-file <PATH>` | `MINER_TLS_CERT_SHA256_FILE` | Read the TLS cert fingerprint from a file | — |
| `--cpu-workers <N>` | `MINER_CPU_WORKERS` | Number of CPU worker threads | Auto-detect |
| `--gpu-devices <N>` | `MINER_GPU_DEVICES` | Number of GPU devices | Auto-detect |
| `--gpu-batch-size <N>` | `MINER_GPU_BATCH_SIZE` | GPU batch size in nonces | 1000000 |
| `--cpu-batch-size <N>` | `MINER_CPU_BATCH_SIZE` | CPU batch size in hashes | 10000 |
| `--gpu-throttle-ms <MS>` | `MINER_GPU_THROTTLE_MS` | Sleep duration (ms) between GPU batches | 0 |
| `--metrics-port <PORT>` | `MINER_METRICS_PORT` | Prometheus metrics port | 9900 |
```
INFO external_miner > Starting external miner service...
INFO external_miner > Using auto-detected workers (leaving headroom): 4
INFO external_miner > Server starting on 0.0.0.0:9833
## GPU Mining
GPU support uses WGPU for cross-platform acceleration:
- **macOS**: Metal backend (Apple Silicon & Intel)
- **Linux**: Vulkan/OpenGL backends
- **Windows**: DirectX 12/Vulkan backends
### Setup
**Build with GPU support:**
```bash
cargo build -p miner-cli --release
```
## API Specification
**Platform requirements:**
- **macOS**: Works out-of-the-box
- **Linux**: Install GPU drivers (`nvidia-driver`, `mesa-vulkan-drivers`)
- **Windows**: Ensure recent graphics drivers are installed
The detailed API specification is defined using OpenAPI 3.0 and can be found in the `api/openapi.yaml` file.
### Performance Monitoring
This specification details all endpoints, request/response formats, and expected status codes.
You can use tools like [Swagger Editor](https://editor.swagger.io/)
or [Swagger UI](https://swagger.io/tools/swagger-ui/) to view and interact with the API definition.
- **macOS**: `sudo powermetrics --samplers gpu_power -i 1000`
- **Linux**: `nvidia-smi` (NVIDIA) or `radeontop` (AMD)
- **Windows**: Task Manager GPU tab
## A note on workers
## Examples
The miner previously used a flag named `--num-cores`. To better reflect intent, this has been replaced by `--workers`, which specifies the number of worker threads (logical CPUs). When not provided, the miner auto-detects an effective CPU set (honoring cgroup cpusets when present) and defaults to a value that leaves roughly half of the system resources available to other processes.
All `serve` examples need the auth token and TLS pin (files or inline values).
## API Endpoints (Summary)
```bash
# CPU mining with 8 workers
./target/release/quantus-miner serve \
--auth-token-file /path/to/miner-auth-token \
--tls-cert-sha256-file /path/to/miner-tls-cert-sha256 \
--cpu-workers 8
* `POST /mine`: Submits a new mining job.
* `GET /result/{job_id}`: Retrieves the status and result of a specific mining job.
* `POST /cancel/{job_id}`: Cancels an ongoing mining job.
# Pure GPU mining
./target/release/quantus-miner serve \
--auth-token-file /path/to/miner-auth-token \
--tls-cert-sha256-file /path/to/miner-tls-cert-sha256 \
--gpu-devices 1
## Implementation and PR review docs
# GPU mining with throttle (reduce GPU utilization)
./target/release/quantus-miner serve \
--auth-token-file /path/to/miner-auth-token \
--tls-cert-sha256-file /path/to/miner-tls-cert-sha256 \
--gpu-devices 1 --gpu-throttle-ms 50
These documents provide reviewers with the authoritative context for changes. Commits and pull requests should link to the relevant prompt/response entry.
# Hybrid mining: 4 CPU + 1 GPU workers
./target/release/quantus-miner serve \
--auth-token-file /path/to/miner-auth-token \
--tls-cert-sha256-file /path/to/miner-tls-cert-sha256 \
--cpu-workers 4 --gpu-devices 1
- Authoring/process guide: agents.md
# With verbose logging
RUST_LOG=debug ./target/release/quantus-miner serve \
--auth-token-file /path/to/miner-auth-token \
--tls-cert-sha256-file /path/to/miner-tls-cert-sha256 \
--cpu-workers 2 --gpu-devices 1
# Production setup with metrics
./target/release/quantus-miner serve \
--node-addr 127.0.0.1:9833 \
--auth-token-file /path/to/miner-auth-token \
--tls-cert-sha256-file /path/to/miner-tls-cert-sha256 \
--cpu-workers 6 \
--gpu-devices 1 \
--metrics-port 9900
```
## Protocol
The miner uses a QUIC-based protocol for communication with the node:
- **Transport**: QUIC with TLS 1.3 (self-signed certificate, pinned by SHA-256)
- **Auth**: `Ready { token }` must match the node's `miner-auth-token`
- **ALPN**: `quantus-miner/2`
- **Port**: 9833 (default)
- **Messages**: `Ready` (miner→node), `NewJob` (node→miner), `JobResult` (miner→node)
For full protocol specification, see the node's `MINING.md`.
## Benchmarking
```bash
# Benchmark CPU performance
./target/release/quantus-miner benchmark --cpu-workers 8 --duration 30
# Benchmark GPU performance
./target/release/quantus-miner benchmark --gpu-devices 1 --duration 30
# Benchmark hybrid performance
./target/release/quantus-miner benchmark --cpu-workers 4 --gpu-devices 1 --duration 30
```
+80
View File
@@ -0,0 +1,80 @@
# Security Policy
Quantus Network takes the security of our users seriously and welcomes reports
from security researchers.
## Reporting a vulnerability
**Please do not open a public issue, pull request, or social-media post for a
security vulnerability.** Public disclosure before a fix is available puts
users' funds at risk. Use one of the private channels below and we will
coordinate a fix and disclosure with you.
1. **GitHub private security advisory (preferred).**
[Report a vulnerability](https://github.com/quantus-network/quantus-miner/security/advisories/new).
This gives you a private, structured thread with the maintainers and is the
fastest way to reach us.
2. **Email.** Send details to **security@quantus.com**.
### What to include
- A clear description of the issue and its security impact.
- A working proof of concept is required. It must run directly against this
project, using a release build or locally built version, and demonstrate the
reported behavior and security impact. Standalone code, mathematical
examples, or simulations that only reproduce the theory without exercising
the project do not satisfy this requirement.
- Step-by-step reproduction instructions.
- Affected platforms and versions.
- Any relevant logs, addresses, or transaction IDs (for on-chain issues).
If you used AI tooling to find or write up the report, please say so.
## Our commitment (safe harbor)
We consider security research conducted in good faith under this policy to be
authorized. We will not pursue or support legal action against researchers who:
- make a good-faith effort to avoid privacy violations, data destruction, and
interruption or degradation of our services;
- only interact with accounts they own or have explicit permission to access;
and
- give us a reasonable opportunity to fix an issue before disclosing it
publicly.
If in doubt about whether an action is authorized, ask us first at
security@quantus.com.
## What to expect
- **Acknowledgement:** within **2 business days**.
- **Triage and initial assessment:** within **7 business days**.
- **Coordinated disclosure:** we aim to ship a fix and coordinate public
disclosure within **90 days** of the report. We will keep you updated on
progress and agree on a disclosure date with you.
- **Credit:** with your permission, we are happy to publicly credit you for the
report once a fix is released.
## Scope
**In scope:** the external mining service (CPU and GPU) in this repository — anything that could lead to theft or misattribution of mining rewards, invalid blocks being produced, or remote code execution or crash via its service API.
**Out of scope:** issues in third-party services or nodes we do not operate;
reports generated solely by automated scanners without a demonstrated impact;
low-severity or informational issues on our marketing and landing websites;
and social-engineering or physical attacks.
## Rewards
At our **sole discretion**, we may offer a reward for a valid report. To be
eligible, a report must be submitted **privately** through one of the channels
above and identify a genuine vulnerability with real impact on users. Trivial
or low-impact findings, automated-scanner output without a working proof of
concept, and already-known issues are **not** eligible. There is no fixed
bounty and no guaranteed payout; whether a report qualifies, and any amount,
are determined solely by Quantus Network.
## Supported versions
Only the latest release is supported; security fixes are delivered in new
versions. Please keep your installation up to date.
+7 -8
View File
@@ -113,7 +113,7 @@ Use the stable toolchain.
- cargo test --workspace --locked
- Runtime sanity (typical)
- cargo run -p miner-cli -- --engine cpu-fast --workers <n>
- cargo run -p miner-cli -- --engine cpu --workers <n>
- Check logs and metrics if enabled (see below)
Notes:
@@ -138,15 +138,14 @@ If PRs introduce new feature flags or targets, document how CI should build them
## Engine selection policy (naming and runtime)
Naming:
- CPU engines use Cpu-prefixed variants in the CLI to avoid future collisions and clarify behavior:
- cpu-baseline, cpu-fast, cpu-chain-manipulator
- GPU placeholders are exposed for UX and planning but currently unimplemented:
- gpu-cuda, gpu-opencl
- CPU engines use simple, clear names:
- cpu, cpu-chain-manipulator
- GPU engine is implemented and functional:
- gpu for cross-platform GPU mining using WGPU
Runtime behavior:
- If a GPU engine is selected, the service logs a clear error and exits non-zero:
- “engine 'gpu-cuda' is not implemented yet; use cpu-fast or cpu-baseline.”
- Reviewers expect this behavior to remain until real GPU engines are implemented.
- All engines are fully implemented and production-ready
- GPU engine automatically detects and optimizes for available hardware
---
-242
View File
@@ -1,242 +0,0 @@
openapi: 3.0.0
info:
title: Quantus External Miner API
version: 0.1.0
description: API for managing QPoW mining jobs for the Resonance Network external miner service.
paths:
/mine:
post:
summary: Submit a new mining job
description: Accepts a mining job request and adds it to the queue if valid.
requestBody:
required: true
content:
application/json:
schema:
$ref: '#/components/schemas/MiningRequest'
responses:
'200':
description: Job accepted successfully.
content:
application/json:
schema:
$ref: '#/components/schemas/MiningResponseAccepted'
'400':
description: Invalid request (e.g., missing fields, invalid format).
content:
application/json:
schema:
$ref: '#/components/schemas/MiningResponseError'
'409':
description: Conflict (e.g., duplicate job ID).
content:
application/json:
schema:
$ref: '#/components/schemas/MiningResponseError'
/result/{job_id}:
get:
summary: Get mining job status and result
description: Retrieves the current status and potentially the found nonce for a given job ID.
parameters:
- name: job_id
in: path
required: true
description: The ID of the mining job to retrieve.
schema:
type: string
format: uuid
responses:
'200':
description: Job status retrieved successfully (could be running, completed, or failed).
content:
application/json:
schema:
$ref: '#/components/schemas/MiningResult'
'404':
description: Job ID not found.
content:
application/json:
schema:
$ref: '#/components/schemas/MiningResultNotFound'
/cancel/{job_id}:
post:
summary: Cancel a mining job
description: Attempts to cancel an ongoing mining job.
parameters:
- name: job_id
in: path
required: true
description: The ID of the mining job to cancel.
schema:
type: string
format: uuid
responses:
'200':
description: Job cancelled successfully.
content:
application/json:
schema:
$ref: '#/components/schemas/MiningResponseCancelled'
'404':
description: Job ID not found.
content:
application/json:
schema:
$ref: '#/components/schemas/MiningResponseNotFound'
components:
schemas:
ApiResponseStatus:
type: string
description: Status code indicating the result of an API call or the state of a mining job.
enum:
- accepted
- running
- completed
- failed
- cancelled
- not_found
- error
example: running
MiningRequest:
type: object
required:
- job_id
- mining_hash
- difficulty
- nonce_start
- nonce_end
properties:
job_id:
type: string
format: uuid
description: Unique identifier for the mining job (UUID format recommended).
example: "123e4567-e89b-12d3-a456-426614174000"
mining_hash:
type: string
description: The header hash to mine on (hex encoded, 64 characters, no 0x).
example: "a0a0a0a0a0a0a0a0a0a0a0a0a0a0a0a0a0a0a0a0a0a0a0a0a0a0a0a0a0a0a0a0"
pattern: '^[a-fA-F0-9]{64}$'
difficulty:
type: string
description: Target difficulty for the mining job (string representation of a u64).
example: "10000000000"
nonce_start:
type: string
description: Starting nonce value (hex encoded, 128 characters, no 0x).
example: "00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000"
pattern: '^[a-fA-F0-9]{128}$'
nonce_end:
type: string
description: Ending nonce value (hex encoded, 128 characters, no 0x).
example: "ffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff"
pattern: '^[a-fA-F0-9]{128}$'
MiningResponseBase:
type: object
required:
- status
- job_id
properties:
status:
$ref: '#/components/schemas/ApiResponseStatus'
job_id:
type: string
format: uuid
description: The ID of the job associated with the response.
example: "123e4567-e89b-12d3-a456-426614174000"
MiningResponseAccepted:
allOf:
- $ref: '#/components/schemas/MiningResponseBase'
- type: object
properties:
status:
example: accepted
MiningResponseCancelled:
allOf:
- $ref: '#/components/schemas/MiningResponseBase'
- type: object
properties:
status:
example: cancelled
MiningResponseError:
allOf:
- $ref: '#/components/schemas/MiningResponseBase'
- type: object
properties:
status:
example: error
message:
type: string
description: Details about the error that occurred.
example: "Job already exists"
MiningResponseNotFound:
allOf:
- $ref: '#/components/schemas/MiningResponseBase'
- type: object
properties:
status:
example: not_found
MiningResult:
allOf:
- $ref: '#/components/schemas/MiningResponseBase'
- type: object
required:
- hash_count
- elapsed_time
properties:
nonce:
type: string
nullable: true
description: The current or winning nonce (U512 hex, no 0x).
example: "1a2b3c"
pattern: '^[a-fA-F0-9]+$'
work:
type: string
nullable: true
description: The winning nonce ([u8; 64] hex, 128 chars, no 0x). Only present if status is 'completed'.
example: "000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000001a2b3c"
pattern: '^[a-fA-F0-9]{128}$'
hash_count:
type: integer
format: uint64
description: Number of nonces checked so far for this job.
example: 123456
elapsed_time:
type: number
format: double
description: Time elapsed (in seconds) since the job started.
example: 15.732
MiningResultNotFound:
allOf:
- $ref: '#/components/schemas/MiningResponseBase'
- type: object
properties:
status:
example: not_found
nonce:
type: string
nullable: true
example: null
work:
type: string
nullable: true
example: null
hash_count:
type: integer
format: uint64
example: 0
elapsed_time:
type: number
format: double
example: 0.0
Executable
+7
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@@ -0,0 +1,7 @@
#!/usr/bin/env bash
# Run the same clippy command as CI (see .github/workflows/ci.yml)
set -euo pipefail
cargo +nightly fmt
taplo format
cargo clippy --workspace --all-targets --all-features --locked -- -D warnings
+6 -4
View File
@@ -15,15 +15,17 @@ default = ["baseline"]
# Map engine features to pow-core features so engine-cpu consumers can toggle them.
baseline = ["pow-core/baseline"]
montgomery = ["pow-core/montgomery"]
simd-poseidon2 = ["pow-core/simd-poseidon2"]
[dependencies]
pow-core = { path = "../pow-core" }
primitive-types = { workspace = true }
log = { workspace = true }
thiserror = { workspace = true }
anyhow = { workspace = true }
[dev-dependencies]
hex = { workspace = true }
criterion = "0.5"
rand = { workspace = true, features = ["std", "std_rng"] }
[[bench]]
name = "cpu_engine_bench"
harness = false
@@ -0,0 +1,57 @@
use criterion::{black_box, criterion_group, criterion_main, Criterion};
use engine_cpu::{AtomicBoolCancelCheck, FastCpuEngine, MinerEngine, Range};
use pow_core::{hash_from_nonce, JobContext};
use primitive_types::U512;
use rand::RngCore;
use std::sync::atomic::AtomicBool;
fn bench_cpu_fast_engine(c: &mut Criterion) {
// Create the engine with batch size of 10000
let engine = FastCpuEngine::new(10_000);
let cancel_flag = AtomicBool::new(false);
let cancel_check = AtomicBoolCancelCheck(&cancel_flag);
let large_range = Range {
start: U512::from(0u64),
end: U512::from(100000u64), // 100,000 nonces
};
c.bench_function("cpu_fast_large_range", |b| {
b.iter(|| {
let mut header = [0u8; 32];
rand::rng().fill_bytes(&mut header);
let difficulty = U512::from(10_000_000u64);
let ctx = JobContext::new(header, difficulty);
let result = engine.search_range(
black_box(&ctx),
black_box(large_range.clone()),
black_box(&cancel_check),
);
black_box(result)
})
});
}
fn bench_hash_from_nonce(c: &mut Criterion) {
// Create a test job context
let mut header = [0u8; 32];
rand::rng().fill_bytes(&mut header);
let difficulty = U512::from(1000u64);
let ctx = JobContext::new(header, difficulty);
// Create some test nonce values
let test_nonce_values: Vec<U512> = (0..100).map(|i| U512::from(1000u64 + i)).collect();
c.bench_function("hash_from_nonce_single", |b| {
let mut i = 0;
b.iter(|| {
let nonce = test_nonce_values[i % test_nonce_values.len()];
i += 1;
let hash = hash_from_nonce(black_box(&ctx), black_box(nonce));
black_box(hash)
})
});
}
criterion_group!(benches, bench_cpu_fast_engine, bench_hash_from_nonce);
criterion_main!(benches);
+111 -326
View File
@@ -1,23 +1,14 @@
#![deny(rust_2018_idioms)]
#![forbid(unsafe_code)]
//! CPU mining engine scaffolding and trait definition.
//! CPU mining engine for Quantus.
//!
//! This crate defines a minimal `MinerEngine` trait so the service layer can
//! orchestrate mining without knowing about specific math/device details,
//! plus a baseline CPU implementation that uses the reference path in `pow-core`.
//!
//! The baseline engine performs a straightforward linear scan across an inclusive
//! nonce range, computing distance per nonce using the context (header-derived)
//! constants. It is intended as a correctness reference and may be replaced at
//! runtime by faster engines (e.g., incremental CPU path, CUDA/OpenCL engines).
//! This crate defines the `MinerEngine` trait for mining orchestration,
//! plus a fast CPU implementation using optimized paths from `pow-core`.
use core::cmp::Ordering;
use pow_core::{distance_for_nonce, is_valid_distance, JobContext};
use pow_core::JobContext;
use primitive_types::U512;
use std::sync::atomic::{AtomicBool, AtomicU64, Ordering as AtomicOrdering};
use std::time::Duration;
use std::sync::atomic::{AtomicBool, AtomicU64, Ordering};
/// An inclusive nonce range to search.
#[derive(Clone, Debug)]
@@ -31,7 +22,7 @@ pub struct Range {
pub struct Candidate {
pub nonce: U512,
pub work: [u8; 64], // big-endian representation of nonce
pub distance: U512, // achieved distance for this nonce
pub hash: U512, // output hash for this nonce
}
/// Origin of a found candidate.
@@ -44,13 +35,6 @@ pub enum FoundOrigin {
}
/// Status from an engine search.
///
/// For synchronous `search_range` calls, the final outcome will be one of:
/// - `Found`
/// - `Exhausted`
/// - `Cancelled`
///
/// `Running` is included for potential future async/streaming engines.
#[derive(Clone, Debug)]
pub enum EngineStatus {
Running {
@@ -67,150 +51,130 @@ pub enum EngineStatus {
Cancelled {
hash_count: u64,
},
/// GPU device lost or unresponsive. Worker should exit permanently.
DeviceLost {
hash_count: u64,
},
}
/// Cancellation checker passed to search_range.
/// Returns true if the search should be cancelled.
pub trait CancelCheck: Send + Sync {
fn is_cancelled(&self) -> bool;
}
/// Simple cancel check using an AtomicBool flag.
/// Useful for benchmarks and simple scenarios.
pub struct AtomicBoolCancelCheck<'a>(pub &'a AtomicBool);
impl CancelCheck for AtomicBoolCancelCheck<'_> {
fn is_cancelled(&self) -> bool {
self.0.load(Ordering::Relaxed)
}
}
/// Cancel check using job ID comparison.
/// When a new job starts, the current_job_id is incremented.
/// Workers compare their job_id against the current to detect cancellation.
pub struct JobIdCancelCheck<'a> {
pub current_job_id: &'a AtomicU64,
pub my_job_id: u64,
}
impl CancelCheck for JobIdCancelCheck<'_> {
fn is_cancelled(&self) -> bool {
self.current_job_id.load(Ordering::Relaxed) != self.my_job_id
}
}
/// Abstract mining engine interface.
///
/// The service layer depends only on this trait to manage jobs.
/// Different engines (baseline CPU, optimized CPU, CUDA, OpenCL) can implement
/// this trait and be selected at runtime via configuration.
/// Different engines (CPU, CUDA, OpenCL) can implement this trait.
pub trait MinerEngine: Send + Sync {
/// Human-readable engine name (for logs/metrics).
/// Human-readable engine name (for logs).
fn name(&self) -> &'static str;
/// Prepare a precomputed context for a job (header + threshold).
fn prepare_context(&self, header_hash: [u8; 32], threshold: U512) -> JobContext;
/// Prepare a precomputed context for a job (header + difficulty).
fn prepare_context(&self, header_hash: [u8; 32], difficulty: U512) -> JobContext;
/// Search an inclusive nonce range with cancellation support.
///
/// Implementations should:
/// - Respect `cancel` promptly to minimize wasted work after a solution is found.
/// - Return `Found` with a `Candidate` on success.
/// - Return `Exhausted` if the range is fully searched without a solution.
/// - Return `Cancelled` if `cancel` was observed during the search.
fn search_range(&self, ctx: &JobContext, range: Range, cancel: &AtomicBool) -> EngineStatus;
fn search_range(
&self,
ctx: &JobContext,
range: Range,
cancel: &dyn CancelCheck,
) -> EngineStatus;
/// Enable downcasting to concrete engine types.
fn as_any(&self) -> &dyn std::any::Any;
}
/// Baseline CPU engine.
///
/// This implementation uses the reference path from `pow-core` for distance
/// computation and scans the range linearly, one nonce at a time.
#[derive(Default)]
pub struct BaselineCpuEngine;
impl BaselineCpuEngine {
pub fn new() -> Self {
Self
}
/// Fast CPU engine using optimized pow-core helpers.
pub struct FastCpuEngine {
/// How often to check for cancellation (in hashes)
batch_size: u64,
}
impl MinerEngine for BaselineCpuEngine {
fn name(&self) -> &'static str {
"cpu-baseline"
}
fn prepare_context(&self, header_hash: [u8; 32], threshold: U512) -> JobContext {
JobContext::new(header_hash, threshold)
}
fn search_range(&self, ctx: &JobContext, range: Range, cancel: &AtomicBool) -> EngineStatus {
// Ensure start <= end (inclusive range). If not, treat as exhausted.
if range.start > range.end {
return EngineStatus::Exhausted { hash_count: 0 };
}
let mut current = range.start;
let mut hash_count: u64 = 0;
loop {
// Cancellation check
if cancel.load(AtomicOrdering::Relaxed) {
return EngineStatus::Cancelled { hash_count };
}
// Compute distance for this nonce using the context.
let distance = distance_for_nonce(ctx, current);
hash_count = hash_count.saturating_add(1);
// Check if it's valid under threshold.
if is_valid_distance(ctx, distance) {
let work = current.to_big_endian();
let candidate = Candidate {
nonce: current,
work,
distance,
};
return EngineStatus::Found {
candidate,
hash_count,
origin: FoundOrigin::Cpu,
};
}
// Advance or finish
match current.cmp(&range.end) {
Ordering::Less => {
current = current.saturating_add(U512::one());
}
_ => {
// End of inclusive range reached
break EngineStatus::Exhausted { hash_count };
}
}
}
}
}
// Re-export commonly used items for convenience by consumers.
// Fast CPU engine using incremental pow-core helpers (init_worker_y0 + step_mul)
#[derive(Default)]
pub struct FastCpuEngine;
impl FastCpuEngine {
pub fn new() -> Self {
Self
pub fn new(batch_size: u64) -> Self {
Self {
batch_size: batch_size.max(1), // Ensure at least 1
}
}
}
impl MinerEngine for FastCpuEngine {
fn name(&self) -> &'static str {
"cpu-fast"
"cpu"
}
fn prepare_context(&self, header_hash: [u8; 32], threshold: U512) -> JobContext {
JobContext::new(header_hash, threshold)
fn prepare_context(&self, header_hash: [u8; 32], difficulty: U512) -> JobContext {
JobContext::new(header_hash, difficulty)
}
fn search_range(&self, ctx: &JobContext, range: Range, cancel: &AtomicBool) -> EngineStatus {
use pow_core::{distance_from_y, init_worker_y0, is_valid_distance, step_mul};
fn as_any(&self) -> &dyn std::any::Any {
self
}
fn search_range(
&self,
ctx: &JobContext,
range: Range,
cancel: &dyn CancelCheck,
) -> EngineStatus {
use pow_core::{hash_from_nonce, is_valid_hash, step_nonce};
// Ensure start <= end (inclusive range). If not, treat as exhausted.
if range.start > range.end {
return EngineStatus::Exhausted { hash_count: 0 };
}
let mut current = range.start;
let mut y = init_worker_y0(ctx, current);
let mut hash_count: u64 = 0;
// Use decrementing counter to avoid modulo division in hot loop
// Initialize to 0 so we check cancellation immediately on first iteration
let mut until_check: u64 = 0;
loop {
// Cancellation check
if cancel.load(AtomicOrdering::Relaxed) {
return EngineStatus::Cancelled { hash_count };
// Check for cancellation every batch_size hashes
if until_check == 0 {
if cancel.is_cancelled() {
return EngineStatus::Cancelled { hash_count };
}
until_check = self.batch_size;
}
until_check -= 1;
// Compute distance from current accumulator
let distance = distance_from_y(ctx, y);
let hash = hash_from_nonce(ctx, current);
hash_count = hash_count.saturating_add(1);
if is_valid_distance(ctx, distance) {
if is_valid_hash(ctx, hash) {
let work = current.to_big_endian();
return EngineStatus::Found {
candidate: Candidate {
nonce: current,
work,
distance,
hash,
},
hash_count,
origin: FoundOrigin::Cpu,
@@ -218,150 +182,18 @@ impl MinerEngine for FastCpuEngine {
}
if current == range.end {
break EngineStatus::Exhausted { hash_count };
break;
}
// Advance to next nonce: y <- y * m (mod n), current <- current + 1
y = step_mul(ctx, y);
current = current.saturating_add(U512::one());
current = step_nonce(current);
}
EngineStatus::Exhausted { hash_count }
}
}
#[derive(Default)]
pub struct ChainManipulatorEngine {
/// Base sleep per batch in nanoseconds; actual sleep increases linearly with job count.
pub base_delay_ns: u64,
/// Number of nonce attempts between sleeps.
pub step_batch: u64,
/// Optional cap for solved-block throttling (sleep index will not exceed this).
pub throttle_cap: Option<u64>,
/// Monotonically increasing solved-block counter used to scale throttling.
/// Public so the service can initialize from CLI (pick up where we left off).
pub job_index: AtomicU64,
}
impl ChainManipulatorEngine {
pub fn new() -> Self {
// Start fast: first block has no throttle (job_index = 0 -> 0ns sleep),
// then 0.5ms per batch at block 1, 1.0ms at block 2, etc.
Self {
base_delay_ns: 500_000, // 0.5 ms
step_batch: 10_000, // sleep every 10k nonce checks
throttle_cap: None, // unlimited by default
job_index: AtomicU64::new(0),
}
}
}
impl MinerEngine for ChainManipulatorEngine {
fn name(&self) -> &'static str {
"cpu-chain-manipulator"
}
fn prepare_context(&self, header_hash: [u8; 32], threshold: U512) -> JobContext {
// Per-block throttling: do NOT increment here. We increment on Found (i.e., when a block is solved).
let ctx = JobContext::new(header_hash, threshold);
// Debug: log current throttle state at job start
log::debug!(
target: "miner",
"manipulator throttle start: solved_blocks={}, sleep_ns_per_batch={}, step_batch={}",
self.job_index.load(AtomicOrdering::Relaxed),
self.base_delay_ns.saturating_mul(self.job_index.load(AtomicOrdering::Relaxed)),
self.step_batch
);
ctx
}
fn search_range(&self, ctx: &JobContext, range: Range, cancel: &AtomicBool) -> EngineStatus {
use pow_core::{distance_from_y, init_worker_y0, is_valid_distance, step_mul};
if range.start > range.end {
return EngineStatus::Exhausted { hash_count: 0 };
}
// Fast incremental path (same as cpu-fast) to start with high hashrate:
// y0 = m^(h + start_nonce) mod n, then y = y * m (mod n) each step.
let mut current = range.start;
let mut y = init_worker_y0(ctx, current);
let mut hash_count: u64 = 0;
let mut batch_counter: u64 = 0;
// Per-block throttling: derived from blocks solved so far (apply cap if configured).
let mut solved_blocks = self.job_index.load(AtomicOrdering::Relaxed);
if let Some(cap) = self.throttle_cap {
if solved_blocks > cap {
solved_blocks = cap;
}
}
let sleep_ns = self.base_delay_ns.saturating_mul(solved_blocks);
let do_sleep = sleep_ns > 0;
loop {
if cancel.load(AtomicOrdering::Relaxed) {
return EngineStatus::Cancelled { hash_count };
}
// Compute distance from current accumulator (incremental path).
let distance = distance_from_y(ctx, y);
hash_count = hash_count.saturating_add(1);
batch_counter = batch_counter.saturating_add(1);
// Optional detailed debug of throttle progression within a job
#[allow(unused_variables)]
let _dbg_batch = batch_counter;
if is_valid_distance(ctx, distance) {
let work = current.to_big_endian();
// Increment solved-block counter so the NEXT block throttles more.
let _new_idx = self.job_index.fetch_add(1, AtomicOrdering::Relaxed) + 1;
{
let capped = if let Some(cap) = self.throttle_cap {
std::cmp::min(_new_idx, cap)
} else {
_new_idx
};
log::debug!(
target: "miner",
"manipulator throttle increment: solved_blocks={} (next sleep_ns_per_batch={}, cap={:?})",
_new_idx,
self.base_delay_ns.saturating_mul(capped),
self.throttle_cap
);
}
return EngineStatus::Found {
candidate: Candidate {
nonce: current,
work,
distance,
},
hash_count,
origin: FoundOrigin::Cpu,
};
}
// Throttle after each batch to artificially slow down based on blocks solved so far.
if do_sleep && batch_counter >= self.step_batch {
std::thread::sleep(Duration::from_nanos(sleep_ns));
batch_counter = 0;
}
// Advance
if current < range.end {
// y <- y * m (mod n); current <- current + 1
y = step_mul(ctx, y);
current = current.saturating_add(U512::one());
} else {
break EngineStatus::Exhausted { hash_count };
}
}
}
}
pub use {
BaselineCpuEngine as DefaultEngine, Candidate as EngineCandidate,
ChainManipulatorEngine as ChainEngine, FastCpuEngine as FastEngine, Range as EngineRange,
};
// Re-exports for convenience
pub use {Candidate as EngineCandidate, Range as EngineRange};
#[cfg(test)]
mod tests {
@@ -369,77 +201,26 @@ mod tests {
use primitive_types::U512;
use std::sync::atomic::AtomicBool;
fn make_ctx() -> JobContext {
let header = [1u8; 32];
let threshold = U512::MAX; // permissive threshold for "found" parity test
JobContext::new(header, threshold)
}
#[test]
fn baseline_and_fast_engines_find_same_candidate_on_small_range() {
let ctx = make_ctx();
let range = Range {
start: U512::from(0u64),
end: U512::from(100u64),
};
let cancel = AtomicBool::new(false);
let baseline = BaselineCpuEngine::new();
let fast = FastCpuEngine::new();
let b_status = baseline.search_range(&ctx, range.clone(), &cancel);
let f_status = fast.search_range(&ctx, range.clone(), &cancel);
match (b_status, f_status) {
(
EngineStatus::Found {
candidate: b_cand,
hash_count: b_hashes,
origin: _,
},
EngineStatus::Found {
candidate: f_cand,
hash_count: f_hashes,
origin: _,
},
) => {
assert_eq!(
b_cand.nonce, f_cand.nonce,
"engines disagreed on winning nonce"
);
assert_eq!(
b_cand.distance, f_cand.distance,
"engines disagreed on distance"
);
assert_eq!(b_hashes, f_hashes, "engines disagreed on hash_count");
}
(b, f) => panic!("expected Found/Found, got baseline={b:?}, fast={f:?}"),
}
}
#[test]
fn engine_returns_exhausted_when_no_solution_in_range() {
// Use a very strict threshold to make solutions effectively impossible in a tiny range.
let header = [2u8; 32];
let threshold = U512::zero();
let ctx = JobContext::new(header, threshold);
let difficulty = U512::MAX; // impossible difficulty
let ctx = JobContext::new(header, difficulty);
let range = Range {
start: U512::from(1u64),
end: U512::from(1000u64), // small range; probability of accidental match is negligible
end: U512::from(1000u64),
};
let cancel = AtomicBool::new(false);
let baseline = BaselineCpuEngine::new();
let cancel_check = AtomicBoolCancelCheck(&cancel);
let engine = FastCpuEngine::new(1000); // check every 1000 hashes
let status = baseline.search_range(&ctx, range.clone(), &cancel);
let status = engine.search_range(&ctx, range.clone(), &cancel_check);
match status {
EngineStatus::Exhausted { hash_count } => {
// Inclusive range length = end - start + 1
let expected = (range.end - range.start + U512::one()).as_u64();
assert_eq!(hash_count, expected, "hash_count should equal range length");
assert_eq!(hash_count, expected);
}
other => panic!("expected Exhausted, got {other:?}"),
}
@@ -447,19 +228,23 @@ mod tests {
#[test]
fn engine_respects_immediate_cancellation() {
let ctx = make_ctx();
let header = [1u8; 32];
let difficulty = U512::from(1u64);
let ctx = JobContext::new(header, difficulty);
let range = Range {
start: U512::from(0u64),
end: U512::from(1_000_000u64),
};
let cancel = AtomicBool::new(true); // cancelled before starting
let baseline = BaselineCpuEngine::new();
let status = baseline.search_range(&ctx, range, &cancel);
let cancel = AtomicBool::new(true); // pre-cancelled
let cancel_check = AtomicBoolCancelCheck(&cancel);
let engine = FastCpuEngine::new(1); // check every hash for immediate cancellation
let status = engine.search_range(&ctx, range, &cancel_check);
match status {
EngineStatus::Cancelled { hash_count } => {
// Cancellation was pre-set; allow zero or near-zero work depending on timing.
assert_eq!(hash_count, 0, "expected no work when cancelled immediately");
assert_eq!(hash_count, 0);
}
other => panic!("expected Cancelled, got {other:?}"),
}
-37
View File
@@ -1,37 +0,0 @@
[package]
name = "engine-gpu-cuda"
version.workspace = true
edition.workspace = true
publish = false
description = "CUDA-based GPU mining engine for the Quantus External Miner (placeholder crate)"
[lib]
path = "src/lib.rs"
crate-type = ["rlib"]
[features]
default = []
# Enable CUDA integrations when implementing the engine.
cuda = ["dep:cust"]
# Enable metrics emission from the CUDA engine (e.g., false-positive counter).
metrics = ["dep:metrics"]
[dependencies]
pow-core = { path = "../pow-core" }
engine-cpu = { path = "../engine-cpu" }
primitive-types = { workspace = true }
log = { workspace = true }
thiserror = { workspace = true }
anyhow = { workspace = true }
hex = { workspace = true }
# Metrics (optional; used for emitting generic counters/gauges from this engine)
metrics = { path = "../metrics", optional = true }
# CUDA ecosystem (optional for now; will be used when implementing GPU backend)
cust = { version = "0.3", optional = true }
rustacuda = { version = "0.1", optional = true }
# Host-side hashing and big-int precompute for GPU constants
qp-poseidon-core = { workspace = true }
num-bigint = "0.4"
num-traits = { workspace = true }
-489
View File
@@ -1,489 +0,0 @@
use std::env;
use std::ffi::OsStr;
use std::fs;
use std::io::{self};
use std::path::{Path, PathBuf};
use std::process::{Command, Stdio};
/// Return true when the host GCC major version is greater than 14.
/// We try $CC --version first, then gcc --version, and parse the first X.Y-like token.
fn host_gcc_too_new() -> bool {
fn probe(bin: &str) -> Option<String> {
Command::new(bin)
.arg("--version")
.stdout(Stdio::piped())
.output()
.ok()
.and_then(|o| {
if o.status.success() {
Some(String::from_utf8_lossy(&o.stdout).into_owned())
} else {
None
}
})
}
let cc = env::var("CC").unwrap_or_else(|_| "gcc".to_string());
let ver_out = probe(&cc).or_else(|| probe("gcc"));
if let Some(s) = ver_out {
// Scan tokens separated by non [0-9|.] and take the first X.Y...
for tok in s.split(|c: char| !c.is_ascii_digit() && c != '.') {
if tok.is_empty() {
continue;
}
if let Some((maj, _)) = tok.split_once('.') {
if let Ok(m) = maj.parse::<u32>() {
return m > 14;
}
}
}
}
false
}
fn main() -> Result<(), Box<dyn std::error::Error>> {
// Only do CUDA work if this crate is built with the `cuda` feature.
let cuda_feature_enabled = env::var_os("CARGO_FEATURE_CUDA").is_some();
println!("cargo:rerun-if-env-changed=CARGO_FEATURE_CUDA");
if !cuda_feature_enabled {
// Generate empty bindings so include! compiles; skip CUDA work.
let out_dir = PathBuf::from(env::var("OUT_DIR")?);
generate_empty_bindings(&out_dir)?;
println!("cargo:warning=engine-gpu-cuda built without 'cuda' feature; skipping kernel compilation.");
return Ok(());
}
// Gather kernel sources (.cu) from common locations
let kernel_roots = [
Path::new("src").join("kernels"),
Path::new("src").join("cuda"),
];
let mut cu_files: Vec<PathBuf> = Vec::new();
for root in kernel_roots.iter() {
if root.is_dir() {
scan_cu_files(root, &mut cu_files)?;
}
}
// If there are no kernels yet, still generate an empty bindings file so include! compiles.
if cu_files.is_empty() {
let out_dir = PathBuf::from(env::var("OUT_DIR")?);
generate_empty_bindings(&out_dir)?;
println!("cargo:warning=No CUDA kernels (.cu) found under src/kernels or src/cuda; generated empty PTX/CUBIN bindings.");
return Ok(());
}
// Emit rebuild hints for kernels and env vars that affect compilation
for cu in &cu_files {
println!("cargo:rerun-if-changed={}", cu.display());
}
println!("cargo:rerun-if-env-changed=NVCC");
println!("cargo:rerun-if-env-changed=CUDA_HOME");
println!("cargo:rerun-if-env-changed=CUDA_PATH");
println!("cargo:rerun-if-env-changed=CUDA_ARCH");
println!("cargo:rerun-if-env-changed=MINER_CUDA_ALLOW_UNSUPPORTED_COMPILER");
println!("cargo:rerun-if-env-changed=MINER_NVCC_CCBIN");
// Determine nvcc path
let nvcc = find_nvcc().ok_or_else(|| {
io::Error::new(
io::ErrorKind::NotFound,
"Unable to locate `nvcc`. Set NVCC or CUDA_HOME/CUDA_PATH, or ensure nvcc is in PATH.",
)
})?;
// Architecture (SM version) can be overridden; default to sm_70 as a reasonable baseline for modern GPUs
let raw_arch = env::var("CUDA_ARCH").unwrap_or_else(|_| "sm_70".to_string());
// Normalize to a compute/sm pair:
// - Use compute_* for -arch
// - Use sm_* for -code
let (arch_compute, arch_sm) = if let Some(s) = raw_arch.strip_prefix("sm_") {
(format!("compute_{s}"), raw_arch.clone())
} else if let Some(s) = raw_arch.strip_prefix("compute_") {
(raw_arch.clone(), format!("sm_{s}"))
} else if let Some(s) = raw_arch.strip_prefix("sm") {
(format!("compute{s}"), raw_arch.clone())
} else {
("compute_70".to_string(), "sm_70".to_string())
};
println!("cargo:warning=NVCC={}", nvcc.display());
println!("cargo:warning=CUDA_ARCH (normalized): compute={arch_compute}, sm={arch_sm}");
// Output directory for artifacts
let out_dir = PathBuf::from(env::var("OUT_DIR")?);
println!(
"cargo:rustc-env=ENGINE_GPU_CUDA_PTX_DIR={}",
out_dir.display()
);
// Preflight: locate CUDA include directories and ensure cuda_runtime.h exists.
// Prefer $CUDA_HOME/targets/x86_64-linux/include, then $CUDA_HOME/include. Derive CUDA_HOME from NVCC if needed.
let cuda_home_env = env::var_os("CUDA_HOME").map(PathBuf::from).or_else(|| {
// Derive CUDA_HOME from NVCC path (<home>/bin/nvcc)
nvcc.parent()
.and_then(Path::parent)
.map(|p| p.to_path_buf())
});
let mut include_dirs: Vec<PathBuf> = Vec::new();
// If CUDA_HOME was found (either env or derived from NVCC), add its common include locations.
if let Some(home) = cuda_home_env.as_ref() {
let t_inc = home.join("targets").join("x86_64-linux").join("include");
let i_inc = home.join("include");
if t_inc.is_dir() {
include_dirs.push(t_inc);
}
if i_inc.is_dir() {
include_dirs.push(i_inc);
}
}
// Fallback: common system install prefix in CUDA devel images.
// This allows builds to succeed even when CUDA_HOME isn't set in the container.
for fallback in [
Path::new("/usr/local/cuda/targets/x86_64-linux/include"),
Path::new("/usr/local/cuda/include"),
] {
if fallback.is_dir() {
include_dirs.push(fallback.to_path_buf());
}
}
// Deduplicate include dirs to avoid noisy logs and duplicate -I flags
include_dirs.sort();
include_dirs.dedup();
for inc in &include_dirs {
println!("cargo:warning=CUDA_INCLUDE_DIR={}", inc.display());
}
let has_runtime_h = include_dirs
.iter()
.any(|d| d.join("cuda_runtime.h").is_file());
if !has_runtime_h {
return Err(Box::new(io::Error::other(format!(
"engine-gpu-cuda: missing CUDA headers (cuda_runtime.h). \
Ensure the matching CUDA toolkit is installed (see README), \
and CUDA_HOME is set (current CUDA_HOME={:?}). Searched: {}",
cuda_home_env,
include_dirs
.iter()
.map(|p| p.display().to_string())
.collect::<Vec<_>>()
.join(", ")
))));
}
// Extra nvcc options and optional host compiler override
let mut extra_nvcc_flags: Vec<String> = Vec::new();
let allow_unsupported = env::var("MINER_CUDA_ALLOW_UNSUPPORTED_COMPILER")
.map(|v| v == "1" || v.eq_ignore_ascii_case("true"))
.unwrap_or(false);
if allow_unsupported || host_gcc_too_new() {
println!("cargo:warning=nvcc: enabling -allow-unsupported-compiler");
extra_nvcc_flags.push("-allow-unsupported-compiler".to_string());
}
let ccbin = env::var("MINER_NVCC_CCBIN").ok();
if let Some(ref cc) = ccbin {
println!("cargo:warning=nvcc: using -ccbin {cc}");
}
// Compile each .cu into artifacts
// - PTX: for driver JIT (fallback)
// - CUBIN: native SASS per-SM (preferred; avoids PTX JIT/ISA mismatches)
let mut generated_ptx: Vec<(String, PathBuf)> = Vec::new();
let mut generated_cubin: Vec<(String, PathBuf)> = Vec::new();
for cu in &cu_files {
let stem = cu
.file_stem()
.and_then(OsStr::to_str)
.ok_or_else(|| io::Error::other("Invalid kernel filename"))?
.to_string();
let ptx_path = out_dir.join(format!("{stem}.ptx"));
let cubin_path = out_dir.join(format!("{stem}.cubin"));
// PTX
match compile_to_ptx(
&nvcc,
&arch_compute,
cu,
&ptx_path,
&include_dirs,
ccbin.as_deref(),
&extra_nvcc_flags,
) {
Ok(()) => {
println!(
"cargo:warning=nvcc PTX OK: {} -> {}",
cu.display(),
ptx_path.display()
);
generated_ptx.push((stem.clone(), ptx_path.clone()));
}
Err(err) => {
eprintln!("cargo:warning=nvcc PTX failed for {}: {err}", cu.display());
eprintln!(
"cargo:warning=Skipping PTX for {stem} (will rely on CUBIN if available)"
);
}
}
// CUBIN (preferred at runtime)
match compile_to_cubin(
&nvcc,
&arch_compute,
&arch_sm,
cu,
&cubin_path,
&include_dirs,
ccbin.as_deref(),
&extra_nvcc_flags,
) {
Ok(()) => {
println!(
"cargo:warning=nvcc CUBIN OK: {} -> {}",
cu.display(),
cubin_path.display()
);
generated_cubin.push((stem, cubin_path.clone()));
}
Err(err) => {
eprintln!(
"cargo:warning=nvcc CUBIN failed for {}: {err}",
cu.display()
);
eprintln!(
"cargo:warning=Skipping CUBIN for {stem} (will fall back to PTX if present)"
);
}
}
}
// Fail fast if no artifacts were generated (prevents producing a GPU binary without embeds)
if generated_ptx.is_empty() && generated_cubin.is_empty() {
return Err(Box::new(io::Error::other(
"engine-gpu-cuda: no CUDA artifacts embedded (PTX/CUBIN). Ensure NVCC is set and CUDA_ARCH=sm_XX; see README Fedora section.",
)));
}
// Generate an embedded PTX/CUBIN bindings file so the crate can include!() the artifacts at compile time.
// Output: $OUT_DIR/ptx_bindings.rs with:
// - pub mod ptx_embedded { pub const <STEM>_PTX: &str = "..."; pub fn get(name: &str) -> Option<&'static str>; }
// - pub mod cubin_embedded { pub static <STEM>_CUBIN: &'static [u8] = &[…]; pub fn get_cubin(name: &str) -> Option<&'static [u8]>; }
let bindings_path = out_dir.join("ptx_bindings.rs");
let mut rs = String::new();
rs.push_str("// @generated by engine-gpu-cuda/build.rs — DO NOT EDIT MANUALLY\n");
rs.push_str("#[allow(dead_code)]\n");
// PTX module (string)
rs.push_str("pub mod ptx_embedded {\n");
for (stem, path) in &generated_ptx {
let const_name = to_const_name(stem, "_PTX");
let ptx = std::fs::read_to_string(path).unwrap_or_else(|_| String::new());
rs.push_str(&format!(" pub const {const_name}: &str = r###\""));
rs.push_str(&ptx);
rs.push_str("\"###;\n");
}
rs.push_str(" pub fn get(name: &str) -> Option<&'static str> {\n");
rs.push_str(" match name {\n");
for (stem, _) in &generated_ptx {
let const_name = to_const_name(stem, "_PTX");
rs.push_str(&format!(" \"{stem}\" => Some({const_name}),\n"));
}
rs.push_str(" _ => None,\n");
rs.push_str(" }\n");
rs.push_str(" }\n");
rs.push_str("}\n");
// CUBIN module (bytes)
rs.push_str("pub mod cubin_embedded {\n");
for (stem, path) in &generated_cubin {
let const_name = to_const_name(stem, "_CUBIN");
let bytes = std::fs::read(path).unwrap_or_default();
rs.push_str(&format!(
" pub static {const_name}: &'static [u8] = &[\n "
));
for (i, b) in bytes.iter().enumerate() {
if i > 0 && i % 16 == 0 {
rs.push_str("\n ");
}
rs.push_str(&format!("{b},"));
}
rs.push_str("\n ];\n");
}
rs.push_str(" pub fn get_cubin(name: &str) -> Option<&'static [u8]> {\n");
rs.push_str(" match name {\n");
for (stem, _) in &generated_cubin {
let const_name = to_const_name(stem, "_CUBIN");
rs.push_str(&format!(" \"{stem}\" => Some({const_name}),\n"));
}
rs.push_str(" _ => None,\n");
rs.push_str(" }\n");
rs.push_str(" }\n");
rs.push_str("}\n");
std::fs::write(&bindings_path, rs)?;
Ok(())
}
fn to_const_name(stem: &str, suffix: &str) -> String {
let mut s = String::with_capacity(stem.len() + suffix.len());
for c in stem.chars() {
if c.is_ascii_alphanumeric() {
s.push(c.to_ascii_uppercase());
} else {
s.push('_');
}
}
s.push_str(suffix);
s
}
fn generate_empty_bindings(out_dir: &Path) -> io::Result<()> {
let bindings_path = out_dir.join("ptx_bindings.rs");
let mut rs = String::new();
rs.push_str("// @generated by engine-gpu-cuda/build.rs — DO NOT EDIT MANUALLY\n");
rs.push_str("#[allow(dead_code)]\n");
rs.push_str("pub mod ptx_embedded { pub fn get(_: &str) -> Option<&'static str> { None } }\n");
rs.push_str(
"pub mod cubin_embedded { pub fn get_cubin(_: &str) -> Option<&'static [u8]> { None } }\n",
);
std::fs::write(&bindings_path, rs)
}
fn scan_cu_files(root: &Path, out: &mut Vec<PathBuf>) -> io::Result<()> {
for entry in fs::read_dir(root)? {
let entry = entry?;
let path = entry.path();
if path.is_dir() {
scan_cu_files(&path, out)?;
} else if path.extension().and_then(OsStr::to_str) == Some("cu") {
out.push(path);
}
}
Ok(())
}
fn find_nvcc() -> Option<PathBuf> {
// 1) Explicit override
if let Some(p) = env::var_os("NVCC") {
let pb = PathBuf::from(p);
if pb.is_file() {
return Some(pb);
}
}
// 2) CUDA_HOME or CUDA_PATH
if let Some(home) = env::var_os("CUDA_HOME").or_else(|| env::var_os("CUDA_PATH")) {
let mut candidate = PathBuf::from(home);
candidate.push("bin");
candidate.push(exe("nvcc"));
if candidate.is_file() {
return Some(candidate);
}
}
// 3) PATH lookup — try invoking `nvcc --version`
if let Ok(output) = Command::new("nvcc").arg("--version").output() {
if output.status.success() {
return Some(PathBuf::from("nvcc"));
}
}
None
}
fn compile_to_ptx(
nvcc: &Path,
arch: &str,
src: &Path,
out: &Path,
includes: &[PathBuf],
ccbin: Option<&str>,
extra_flags: &[String],
) -> io::Result<()> {
// Ensure parent directory exists
if let Some(parent) = out.parent() {
fs::create_dir_all(parent)?;
}
// nvcc -ptx -arch=<compute_XX> -I<inc>... [-ccbin cc] [extra] -o <out.ptx> <src.cu>
let mut cmd = Command::new(nvcc);
cmd.args(["-ptx", "-arch", arch]).arg("-o").arg(out);
if let Some(cc) = ccbin {
cmd.arg("-ccbin").arg(cc);
}
for f in extra_flags {
cmd.arg(f);
}
for inc in includes {
cmd.arg("-I").arg(inc);
}
cmd.arg(src);
let status = cmd.status()?;
if !status.success() {
return Err(io::Error::other(format!(
"nvcc returned non-zero exit status (ptx): {status}"
)));
}
Ok(())
}
#[allow(clippy::too_many_arguments)]
fn compile_to_cubin(
nvcc: &Path,
arch_compute: &str,
arch_sm: &str,
src: &Path,
out: &Path,
includes: &[PathBuf],
ccbin: Option<&str>,
extra_flags: &[String],
) -> io::Result<()> {
// Ensure parent directory exists
if let Some(parent) = out.parent() {
fs::create_dir_all(parent)?;
}
// nvcc -cubin -arch=<compute_XX> -code=<sm_XX> -I<inc>... [-ccbin cc] [extra] -o <out.cubin> <src.cu>
let mut cmd = Command::new(nvcc);
cmd.args(["-cubin", "-arch", arch_compute, "-code", arch_sm])
.arg("-o")
.arg(out);
if let Some(cc) = ccbin {
cmd.arg("-ccbin").arg(cc);
}
for f in extra_flags {
cmd.arg(f);
}
for inc in includes {
cmd.arg("-I").arg(inc);
}
cmd.arg(src);
let status = cmd.status()?;
if !status.success() {
return Err(io::Error::other(format!(
"nvcc returned non-zero exit status (cubin): {status}"
)));
}
Ok(())
}
#[cfg(target_os = "windows")]
fn exe(name: &str) -> String {
format!("{name}.exe")
}
#[cfg(not(target_os = "windows"))]
fn exe(name: &str) -> String {
name.to_string()
}
-212
View File
@@ -1,212 +0,0 @@
# engine-gpu-cuda (CUDA backend) – G1 bring‑up
This crate provides the CUDA GPU backend for the Quantus External Miner. It currently implements "G1" bring‑up: the per‑nonce modular multiply loop runs on the GPU (512‑bit Montgomery CIOS), while Poseidon2‑512 and the threshold check run on the host CPU. This allows correctness and plumbing to be validated before we move Poseidon2 and early‑exit onto the device in G2.
The backend is feature‑gated. When built with `--features cuda`, the crate’s build script compiles the CUDA kernel and embeds device images into the binary (CUBIN preferred, PTX as fallback). At runtime the engine selects an embedded image and launches the kernel to produce normalized `y` values per iteration.
---
## Status
- G1 (current):
- Device: 512‑bit Montgomery multiply (CIOS using 64×64→128 via `__umul64hi`), maintaining `ŷ` in Montgomery domain and converting to normal domain for output.
- Host: Poseidon2‑512 and threshold compare (and orchestration).
- Correctness: parity against CPU small‑range tests.
- Performance: primarily limited by PCIe copy‑back and host Poseidon2. See "Tuning" below.
- G2 (next):
- Device: Poseidon2‑512 optimized for 64‑byte input.
- Device: threshold compare + global early‑exit flag (atomic) + tiny candidate write.
- Device: move constants to `__constant__` memory.
- Host: poll early‑exit; no large copy‑backs (only candidate or counters).
- Result: removes PCIe and host‑Poseidon2 bottlenecks; enables real GPU‑bound throughput. Selection will be enabled via `MINER_CUDA_MODE=g2` once available.
---
## Build
The build script (for this crate only) compiles `crates/engine-gpu-cuda/src/kernels/qpow_kernel.cu` with `nvcc` and embeds both:
- CUBIN (native SASS for a specific SM, preferred at runtime).
- PTX (forward‑compatible target, used as a fallback when necessary).
Header preflight: the build verifies CUDA headers (e.g., `cuda_runtime.h`) exist. If it cannot embed either PTX or CUBIN, the build fails fast to prevent emitting a GPU‑broken binary.
Supported build modes:
- Native build (host has a CUDA toolkit): `cargo build -p miner-cli --features cuda --release`
- Containerized build (recommended for CI): build inside NVIDIA’s CUDA devel images; extract the binary (see repo workflow and Containerfile).
Notes:
- The kernel is compiled for one SM arch per build. Choose your SM via `CUDA_ARCH=sm_86|sm_89|sm_120` (see “Env knobs – build‑time”).
- For driver/toolkit compatibility (e.g., CUDA 12.9 driver), build the device images with a matching toolkit (e.g., 12.9).
---
## Runtime selection and embeds
At startup, the engine prefers the embedded CUBIN; if absent it falls back to the embedded PTX. You can override with `MINER_CUDA_IMAGE=cubin|ptx`. To attempt the G2 path (device Poseidon2 + early-exit), set `MINER_CUDA_MODE=g2`; if the G2 kernel isn't embedded/available for the current device, the engine will fall back to G1 automatically. You'll see logs like:
- `CUDA: using CUBIN (embedded)`
- `CUDA: using PTX source = embedded`
- (If neither exists, the engine logs the absence and delegates to CPU fast engine.)
When a job runs, the engine prints its launch configuration and per‑launch outcomes:
- `CUDA launch config: block_dim=…, threads=…, iters=…`
- `CUDA launch: grid_dim=…, block_dim=…, threads=…, iters=…`
- `CUDA kernel and sync OK`
- `CUDA copy-back OK: elems=…`
---
## Env knobs – runtime (G1)
These knobs affect GPU launch shape and how much work is returned to the host (and thus how much Poseidon2 the CPU must perform per launch).
- `MINER_CUDA_BLOCK_DIM` (default `256`)
- Threads per block (`blockDim.x`). Use a multiple of 32 (warp size). 256 is a good default.
- `MINER_CUDA_THREADS`
- Total threads (grid workload). Grid dimension is `grid_dim = ceil(threads / block_dim)`. Target at least “#SMs × 1–2 blocks” for decent occupancy (e.g., RTX 3060 has 28 SMs → 28 or 32 blocks).
- `MINER_CUDA_ITERS`
- Iterations per thread. Higher values produce larger output buffers and more host Poseidon2 work per launch.
- `MINER_CUDA_IMAGE` = `cubin` | `ptx` (optional)
- Overrides the embedded image choice (debugging/testing). Default is to prefer CUBIN.
- `MINER_CUDA_HASH_THREADS` (optional)
- Number of host Poseidon2 worker threads to use to consume GPU output. Defaults to available parallelism.
- `MINER_CUDA_PINNED` = `1|true` (optional)
- Use pinned (page-locked) host buffers and asynchronous device-to-host copies for G1 copy-back to reduce PCIe latency.
- `MINER_CUDA_MODE` = `g2` (optional)
- Attempt G2 kernel (device Poseidon2-512 + threshold compare + early-exit). Falls back to G1 if the G2 kernel is not available for the current device image.
How much data per launch?
- y_out bytes = `threads × iters × 64`.
- Keep this around 64–128 MB in G1 to avoid PCIe and host Poseidon2 dominating.
Example configs (RTX 3060, SM 86):
- ~64 MB per launch:
- `BLOCK_DIM=256`, `THREADS=8192`, `ITERS=128`
- ~128 MB per launch:
- `BLOCK_DIM=256`, `THREADS=8192`, `ITERS=256`
- Good occupancy with ~117 MB:
- `BLOCK_DIM=256`, `THREADS=7168` (28 blocks), `ITERS=256`
Service workers:
- Keep `--workers 1` for the GPU engine to avoid competing GPU launches.
- The engine internally orchestrates chunking and cancellation.
---
## Env knobs – build‑time (crate build script)
- `CUDA_ARCH` (required for device image quality)
- One of: `sm_86` (Ampere 3060), `sm_89` (Ada 4090), `sm_120` (CC 12.0 / 5090), etc.
- Normalized to `(compute_XX, sm_XX)` internally.
- `NVCC` or `CUDA_HOME` or `CUDA_PATH`
- Path to `nvcc` or CUDA toolkit root.
- `MINER_CUDA_ALLOW_UNSUPPORTED_COMPILER` = `1` (optional)
- Adds `-allow-unsupported-compiler` to `nvcc` if host GCC is newer than the toolkit supports.
- `MINER_NVCC_CCBIN` = `/path/to/g++-14` (optional)
- Forces `nvcc -ccbin` to a specific (supported) host C++ compiler.
- (Container builds) The script attempts `/usr/local/cuda/targets/x86_64-linux/include` and `/usr/local/cuda/include` if `CUDA_HOME` is unset.
The build fails with clear messages if:
- `nvcc` cannot be found,
- CUDA headers cannot be found,
- neither PTX nor CUBIN artifacts were embedded.
---
## Tuning guide (G1)
Goal in G1: balance kernel time (GPU) against copy-back time (PCIe) and host Poseidon2 time (CPU) to avoid starving the GPU or overwhelming the host. Practical steps:
1) Size the output buffer:
- Start with 64–128 MB per launch: `bytes ≈ threads × iters × 64`.
- Increase `threads` to raise occupancy (more blocks). Start with `block_dim=256`.
- Increase `iters` only while host Poseidon2 still keeps up.
2) Watch timings:
- The engine logs `kernel_ms` and `copy_ms`.
- If `copy_ms > kernel_ms`, try lowering `iters` or increasing `threads` to make the kernel heavier relative to copy.
- If CPU is pegged (hashing), lower `iters`.
3) SM occupancy:
- Ensure `grid_dim` (blocks) is at least the number of SMs on the device (e.g., 28+ on RTX 3060).
- Use `threads ≈ block_dim × blocks` with `block_dim=256`.
4) Service settings:
- Keep `--workers 1` when testing the GPU engine to avoid contention.
---
## Troubleshooting
- “missing CUDA headers (cuda_runtime.h)” at build time:
- Install the matching CUDA toolkit or build inside an NVIDIA CUDA devel image (container).
- Ensure `CUDA_HOME=/usr/local/cuda` (container) or set `NVCC` directly.
- “CUDA init failed” at runtime:
- Check driver is installed, `nvidia-smi` works under the service user.
- Ensure the unit has access to `/dev/nvidia*` (no device sandboxing).
- “no embedded PTX/CUBIN” at runtime:
- The binary you deployed might be corrupted (download/transfer). Verify by:
- `strings -a /path/to/binary | grep -m1 QPOW_KERNEL_CUBIN`
- `strings -a /path/to/binary | grep -m1 qpow_montgomery_g1_kernel`
- Rebuild and redeploy; avoid text-mode transfers; verify checksums.
- Driver/toolkit mismatch:
- A CUBIN built by a newer toolkit may fail to load on older drivers. Use a toolkit matching your driver to produce the device images (e.g., CUDA 12.9 for driver 12.9).
---
## Roadmap to G2
- Device Poseidon2‑512 tuned for 64B input.
- On‑device threshold compare and early‑exit flag (atomic).
- Host polling and tiny candidate copy‑back.
- Constants in `__constant__` memory.
- With G2, copy‑backs and host hashing disappear from the steady‑state path, enabling real GPU‑bound throughput.
---
## Appendix: build in containers (summary)
- Use the repo `Containerfile` and pass:
- `--build-arg CUDA_TAG=12.9.0|13.0.0`
- `--build-arg SM=86|89|120`
- The builder stage compiles and embeds PTX/CUBIN; the dist stage contains `/usr/local/bin/quantus-miner`.
- Export the dist stage filesystem (`buildx --target dist --output type=local,dest=./out`) and pick up `./out/usr/local/bin/quantus-miner`.
- Artifacts can be uploaded directly from CI or rsynced to your distribution host.
---
## Quick reference (env knobs)
Runtime:
- `MINER_CUDA_BLOCK_DIM` (default `256`) — threads per block.
- `MINER_CUDA_THREADS` — total threads (increase for more blocks).
- `MINER_CUDA_ITERS` — iterations per thread (controls y_out size).
- `MINER_CUDA_IMAGE` = `cubin|ptx` — force embedded image selection (optional).
- `MINER_CUDA_HASH_THREADS` — parallel host Poseidon2 workers (optional).
- `MINER_CUDA_PINNED` = `1|true` — use pinned host buffers + async D2H copy (G1 optimization).
- `MINER_CUDA_MODE` = `g2` — try device Poseidon2 + early-exit; falls back to G1 if G2 kernel isn't available.
Build-time:
- `CUDA_ARCH` = `sm_86|sm_89|sm_120|…` — SM target for device images (normalized internally).
- `NVCC` or `CUDA_HOME` or `CUDA_PATH` — where to find the toolkit.
- `MINER_CUDA_ALLOW_UNSUPPORTED_COMPILER` = `1` — add `-allow-unsupported-compiler`.
- `MINER_NVCC_CCBIN` = `/path/to/g++-14` — force a specific host compiler.
---
## Example environment presets
Presets are provided under `examples/.env` and follow a “lower” (≈1× SMs blocks) and “upper” (≈2× SMs blocks) pattern per GPU:
- RTX 3060: `cuda-miner-3060-lower.env`, `cuda-miner-3060-upper.env`
- RTX 3080: `cuda-miner-3080-lower.env`, `cuda-miner-3080-upper.env`
- RTX 3090: `cuda-miner-3090-lower.env`, `cuda-miner-3090-upper.env`
- RTX 4080: `cuda-miner-4080-lower.env`, `cuda-miner-4080-upper.env`
- RTX 4090: `cuda-miner-4090-lower.env`, `cuda-miner-4090-upper.env`
- RTX 5090: `cuda-miner-5090-lower.env`, `cuda-miner-5090-upper.env`
- RTX A5000: `cuda-miner-a5000-lower.env`, `cuda-miner-a5000-upper.env`
- RTX A6000: `cuda-miner-a6000-lower.env`, `cuda-miner-a6000-upper.env`
Each preset uses `MINER_CUDA_MODE=g2` (device Poseidon2 + early-exit) and `MINER_CUDA_BLOCK_DIM=256`, and sizes `MINER_CUDA_THREADS` as `blocks × 256`. Adjust `MINER_CUDA_ITERS` to tune kernel dwell time vs early-exit responsiveness. If a G2 kernel image isn't embedded for your device, the engine falls back to G1 automatically.
@@ -1,760 +0,0 @@
/**
* Quantus External Miner - CUDA Kernel (G1 bring-up)
*
* This kernel provides a minimal, correctness-first pipeline for the GPU path:
* - Implement 512-bit Montgomery multiplication (8×64-bit limbs) on device.
* - Keep y in Montgomery domain during iteration and convert to normal domain before output.
* - For bring-up (G1), the kernel writes normalized y values back to host memory.
* The host will compute SHA3-512(y_be64) and distances for parity validation.
*
* Notes:
* - Limbs are little-endian: limb 0 is the least significant 64 bits.
* - CIOS Montgomery reduction is used with 64×64→128 products via __umul64hi.
* - This skeleton intentionally excludes early-exit and on-device SHA3; those are part of G2.
*
* Build:
* - The engine-gpu-cuda crate provides a build.rs that compiles this .cu into PTX when the
* "cuda" feature is enabled, placing artifacts under $OUT_DIR and exposing ENGINE_GPU_CUDA_PTX_DIR.
*/
#include <stdint.h>
#include <cuda_runtime.h>
extern "C" {
// -------------------------------------------------------------------------------------------------
// Utilities: 64×64→128 multiply (lo, hi), add-with-carry helpers, compare/subtract
// -------------------------------------------------------------------------------------------------
__device__ __forceinline__ void mul64wide(uint64_t a, uint64_t b, uint64_t &lo, uint64_t &hi) {
lo = a * b;
hi = __umul64hi(a, b);
}
// sum := x + y, carry_out returns 0 or 1
__device__ __forceinline__ uint64_t add64_carry(uint64_t x, uint64_t y, uint64_t &carry_out) {
uint64_t s = x + y;
carry_out = (s < x) ? 1ull : 0ull;
return s;
}
// sum := x + y + carry_in, carry_out returns 0 or 1
__device__ __forceinline__ uint64_t add64_2carry(uint64_t x, uint64_t y, uint64_t carry_in, uint64_t &carry_out) {
uint64_t s1 = x + y;
uint64_t c1 = (s1 < x) ? 1ull : 0ull;
uint64_t s2 = s1 + carry_in;
uint64_t c2 = (s2 < s1) ? 1ull : 0ull;
carry_out = c1 + c2;
return s2;
}
// return true if a (LE limbs) >= b (LE limbs), by numeric value
__device__ __forceinline__ bool ge_le_8(const uint64_t a[8], const uint64_t b[8]) {
// Compare from most significant limb to least
for (int i = 7; i >= 0; --i) {
if (a[i] != b[i]) {
return a[i] > b[i];
}
}
return true; // equal
}
// a := a - b (LE limbs)
__device__ __forceinline__ void sub_le_in_place_8(uint64_t a[8], const uint64_t b[8]) {
uint64_t borrow = 0;
for (int i = 0; i < 8; ++i) {
uint64_t bi = b[i];
uint64_t ai = a[i];
uint64_t tmp = ai - bi - borrow;
// borrow occurs if ai < (bi + borrow)
uint64_t needed = (ai < bi) || (borrow && ai == bi) ? 1ull : 0ull;
a[i] = tmp;
borrow = needed;
}
}
// Convert 8 LE limbs into 64 BE bytes into out[64] (for host hashing later, if needed)
// Not used inside the kernel (G1 writes limbs), but kept here for reference.
// __device__ __forceinline__ void le8_to_be64(const uint64_t le[8], uint8_t out[64]) {
// for (int i = 0; i < 8; ++i) {
// uint64_t limb = le[7 - i]; // most significant limb first
// for (int b = 0; b < 8; ++b) {
// out[i * 8 + (7 - b)] = (uint8_t)((limb >> (b * 8)) & 0xFF);
// }
// }
// }
// -------------------------------------------------------------------------------------------------
// Montgomery arithmetic (CIOS) for 512-bit numbers (8×64-bit limbs), little-endian.
// -------------------------------------------------------------------------------------------------
// out <- (a * b * R^{-1}) mod n
__device__ __forceinline__ void mont_mul_512(
const uint64_t a[8],
const uint64_t b[8],
const uint64_t n[8],
const uint64_t n0_inv,
uint64_t out[8]
) {
// 9-limb accumulator (LE); accumulates 128-bit intermediates via split-add with carries
uint64_t acc[9];
#pragma unroll
for (int k = 0; k < 9; ++k) acc[k] = 0ull;
for (int i = 0; i < 8; ++i) {
// acc += a[i] * b
uint64_t ai = a[i];
uint64_t carry = 0ull;
#pragma unroll
for (int j = 0; j < 8; ++j) {
uint64_t lo, hi;
mul64wide(ai, b[j], lo, hi);
// acc[j] += lo + carry, propagate carry to hi
uint64_t c0, c1;
uint64_t s0 = add64_carry(acc[j], lo, c0);
uint64_t s1 = add64_carry(s0, carry, c1);
acc[j] = s1;
// new carry = hi + c0 + c1
carry = hi + c0 + c1;
}
// acc[8] += carry
uint64_t c_acc8;
acc[8] = add64_carry(acc[8], carry, c_acc8);
// c_acc8 overflow beyond 9th limb is discarded (by design in CIOS with next steps)
// m = (acc[0] * n0_inv) mod 2^64
uint64_t m = (uint64_t)(acc[0] * n0_inv);
// acc += m * n
uint64_t carry2 = 0ull;
#pragma unroll
for (int j = 0; j < 8; ++j) {
uint64_t lo2, hi2;
mul64wide(m, n[j], lo2, hi2);
uint64_t c0, c1;
uint64_t s0 = add64_carry(acc[j], lo2, c0);
uint64_t s1 = add64_carry(s0, carry2, c1);
acc[j] = s1;
carry2 = hi2 + c0 + c1;
}
// acc[8] += carry2
uint64_t c_acc8_b;
acc[8] = add64_carry(acc[8], carry2, c_acc8_b);
// Shift acc right by one limb (drop acc[0])
#pragma unroll
for (int j = 0; j < 8; ++j) {
acc[j] = acc[j + 1];
}
acc[8] = 0ull;
}
// Conditional subtract: if acc >= n, subtract n
if (ge_le_8(acc, n)) {
sub_le_in_place_8(acc, n);
}
#pragma unroll
for (int i = 0; i < 8; ++i) {
out[i] = acc[i];
}
}
// to_mont(x) = x * R^2 mod n
__device__ __forceinline__ void to_mont_512(
const uint64_t x[8],
const uint64_t r2[8],
const uint64_t n[8],
const uint64_t n0_inv,
uint64_t out[8]
) {
mont_mul_512(x, r2, n, n0_inv, out);
}
// from_mont(x̂) = x̂ * 1 mod n
__device__ __forceinline__ void from_mont_512(
const uint64_t xhat[8],
const uint64_t n[8],
const uint64_t n0_inv,
uint64_t out[8]
) {
// Multiply by 1 (Montgomery): one = [1,0,..,0]
uint64_t one[8];
#pragma unroll
for (int i = 0; i < 8; ++i) one[i] = 0ull;
one[0] = 1ull;
mont_mul_512(xhat, one, n, n0_inv, out);
}
// -------------------------------------------------------------------------------------------------
// Kernel: G1 bring-up
//
// Each thread:
// - Loads y0 (normal domain) for that thread.
// - Computes y_hat0 = to_mont(y0) on device.
// - Iterates iters_per_thread times:
// y_hat = mont_mul(y_hat, m_hat)
// y = from_mont(y_hat)
// Writes y (LE limbs) to y_out at [thread_offset + iter]
// -------------------------------------------------------------------------------------------------
extern "C" __global__ void qpow_montgomery_g1_kernel(
// Per-job constants (each 8 limbs, LE)
const uint64_t* __restrict__ m, // not used in G1 directly (we pass m_hat)
const uint64_t* __restrict__ n,
const uint64_t n0_inv,
const uint64_t* __restrict__ r2,
const uint64_t* __restrict__ m_hat,
// Per-thread starting state (normal domain)
const uint64_t* __restrict__ y0, // length: num_threads * 8 limbs
// Output buffer for normalized y (for host SHA3 in G1)
uint64_t* __restrict__ y_out, // length: num_threads * iters_per_thread * 8 limbs
// Threading parameters
const uint32_t num_threads,
const uint32_t iters_per_thread
) {
const uint32_t tid = blockIdx.x * blockDim.x + threadIdx.x;
if (tid >= num_threads) {
return;
}
// Local copies of constants (consider placing in __constant__ memory for G2+)
uint64_t n_loc[8], r2_loc[8], mhat_loc[8];
#pragma unroll
for (int i = 0; i < 8; ++i) {
n_loc[i] = n[i];
r2_loc[i] = r2[i];
mhat_loc[i] = m_hat[i];
}
// Load this thread's y0 (normal domain)
uint64_t y0_loc[8];
#pragma unroll
for (int i = 0; i < 8; ++i) {
y0_loc[i] = y0[tid * 8u + i];
}
// Transform to Montgomery domain
uint64_t yhat[8];
to_mont_512(y0_loc, r2_loc, n_loc, n0_inv, yhat);
// Iterate and emit normalized y per step
// Output stride per thread: iters_per_thread * 8 limbs
uint64_t* out_base = y_out + (static_cast<size_t>(tid) * static_cast<size_t>(iters_per_thread) * 8ull);
for (uint32_t iter = 0; iter < iters_per_thread; ++iter) {
// y_hat = y_hat * m_hat
uint64_t yhat_next[8];
mont_mul_512(yhat, mhat_loc, n_loc, n0_inv, yhat_next);
#pragma unroll
for (int i = 0; i < 8; ++i) {
yhat[i] = yhat_next[i];
}
// y = from_mont(y_hat)
uint64_t y_norm[8];
from_mont_512(yhat, n_loc, n0_inv, y_norm);
// Store normalized y (LE limbs) for host SHA3 and distance validation
#pragma unroll
for (int i = 0; i < 8; ++i) {
out_base[iter * 8u + i] = y_norm[i];
}
}
}
// -------------------------------------------------------------------------------------------------
// Host-callable launcher wrapper (optional; typically loaded via PTX and launched from Rust)
// -------------------------------------------------------------------------------------------------
// The Rust host side will load this kernel from PTX and launch it using `cust`/`rustacuda`.
// Example signature in Rust (pseudo):
//
// launch!(module.qpow_montgomery_g1_kernel<<<grid, block, 0, stream>>>(
// d_m.as_device_ptr(),
// d_n.as_device_ptr(),
// n0_inv,
// d_r2.as_device_ptr(),
// d_mhat.as_device_ptr(),
// d_y0.as_device_ptr(),
// d_y_out.as_device_ptr(),
// num_threads,
// iters_per_thread
// ))?;
//
// Note: For G1, the host will compute SHA3-512(y) and distances on the CPU,
// validating correctness against cpu-fast/cpu-montgomery on small ranges.
//
// -------------------------------------------------------------------------------------------------
// G2 additions: device SHA3-512, threshold compare, and early-exit
// -------------------------------------------------------------------------------------------------
// 64-bit rotate-left with defined behavior for all n
__device__ __forceinline__ uint64_t rotl64(uint64_t x, unsigned int n) {
n &= 63u;
return (x << n) | (x >> ((64u - n) & 63u));
}
// Keccak-f[1600] round constants
__device__ __constant__ uint64_t KECCAK_RC[24] = {
0x0000000000000001ULL, 0x0000000000008082ULL,
0x800000000000808aULL, 0x8000000080008000ULL,
0x000000000000808bULL, 0x0000000080000001ULL,
0x8000000080008081ULL, 0x8000000000008009ULL,
0x000000000000008aULL, 0x0000000000000088ULL,
0x0000000080008009ULL, 0x000000008000000aULL,
0x000000008000808bULL, 0x800000000000008bULL,
0x8000000000008089ULL, 0x8000000000008003ULL,
0x8000000000008002ULL, 0x8000000000000080ULL,
0x000000000000800aULL, 0x800000008000000aULL,
0x8000000080008081ULL, 0x8000000000008080ULL,
0x0000000080000001ULL, 0x8000000080008008ULL
};
// Optional per-job constants in constant memory (host may set; kernel remains compatible)
// If C_CONSTS_READY == 1, G2 kernel will prefer these over parameter pointers.
__device__ __constant__ uint64_t C_N[8];
__device__ __constant__ uint64_t C_R2[8];
__device__ __constant__ uint64_t C_MHAT[8];
__device__ __constant__ uint64_t C_N0_INV;
__device__ __constant__ int C_CONSTS_READY;
// Optional constant-memory target/threshold for device compare
__device__ __constant__ uint64_t C_TARGET[8];
__device__ __constant__ uint64_t C_THRESH[8];
// Optional sampler controls/output (host may read these symbols when enabled)
__device__ __constant__ int C_SAMPLER_ENABLE;
__device__ __constant__ uint32_t C_ABI_VERSION = 3u;
__device__ uint8_t C_SAMPLER_Y_BE[64];
__device__ uint8_t C_SAMPLER_H_BE[64];
__device__ uint8_t C_SAMPLER_TARGET_BE[64];
__device__ uint8_t C_SAMPLER_THRESH_BE[64];
__device__ uint32_t C_SAMPLER_INDEX;
__device__ uint32_t C_SAMPLER_DECISION;
__device__ __constant__ int C_DEBUG_FORCE_WIN;
// Load/store helpers (little- and big-endian)
__device__ __forceinline__ uint64_t load64_le(const uint8_t* p) {
return ((uint64_t)p[0]) |
((uint64_t)p[1] << 8) |
((uint64_t)p[2] << 16) |
((uint64_t)p[3] << 24) |
((uint64_t)p[4] << 32) |
((uint64_t)p[5] << 40) |
((uint64_t)p[6] << 48) |
((uint64_t)p[7] << 56);
}
__device__ __forceinline__ void store64_le(uint8_t* p, uint64_t v) {
p[0] = (uint8_t)(v);
p[1] = (uint8_t)(v >> 8);
p[2] = (uint8_t)(v >> 16);
p[3] = (uint8_t)(v >> 24);
p[4] = (uint8_t)(v >> 32);
p[5] = (uint8_t)(v >> 40);
p[6] = (uint8_t)(v >> 48);
p[7] = (uint8_t)(v >> 56);
}
__device__ __forceinline__ void store64_be(uint8_t* p, uint64_t v) {
p[0] = (uint8_t)(v >> 56);
p[1] = (uint8_t)(v >> 48);
p[2] = (uint8_t)(v >> 40);
p[3] = (uint8_t)(v >> 32);
p[4] = (uint8_t)(v >> 24);
p[5] = (uint8_t)(v >> 16);
p[6] = (uint8_t)(v >> 8);
p[7] = (uint8_t)(v);
}
// Convert 8 LE limbs into 64 BE bytes (big-endian numeric representation)
__device__ __forceinline__ void le8_to_be64_bytes(const uint64_t le[8], uint8_t out[64]) {
#pragma unroll
for (int i = 0; i < 8; ++i) {
uint64_t limb = le[7 - i]; // most significant limb first
#pragma unroll
for (int b = 0; b < 8; ++b) {
out[i * 8 + (7 - b)] = (uint8_t)((limb >> (b * 8)) & 0xFF);
}
}
}
// Compare two 64-byte big-endian numbers: return true if a <= b
__device__ __forceinline__ bool be64_leq(const uint8_t a[64], const uint8_t b[64]) {
#pragma unroll
for (int i = 0; i < 64; ++i) {
if (a[i] != b[i]) {
return a[i] < b[i];
}
}
return true; // equal
}
// Keccak-f[1600] permutation (unrolled mapping)
__device__ __forceinline__ void keccak_f1600(uint64_t s[25]) {
#pragma unroll
for (int round = 0; round < 24; ++round) {
// ---- Theta ---------------------------------------------------------
uint64_t Aba=s[0], Aga=s[5], Aka=s[10], Ama=s[15], Asa=s[20];
uint64_t Abe=s[1], Age=s[6], Ake=s[11], Ame=s[16], Ase=s[21];
uint64_t Abi=s[2], Agi=s[7], Aki=s[12], Ami=s[17], Asi=s[22];
uint64_t Abo=s[3], Ago=s[8], Ako=s[13], Amo=s[18], Aso=s[23];
uint64_t Abu=s[4], Agu=s[9], Aku=s[14], Amu=s[19], Asu=s[24];
uint64_t Ca = Aba ^ Aga ^ Aka ^ Ama ^ Asa;
uint64_t Ce = Abe ^ Age ^ Ake ^ Ame ^ Ase;
uint64_t Ci = Abi ^ Agi ^ Aki ^ Ami ^ Asi;
uint64_t Co = Abo ^ Ago ^ Ako ^ Amo ^ Aso;
uint64_t Cu = Abu ^ Agu ^ Aku ^ Amu ^ Asu;
uint64_t Da = rotl64(Ce, 1) ^ Cu;
uint64_t De = rotl64(Ci, 1) ^ Ca;
uint64_t Di = rotl64(Co, 1) ^ Ce;
uint64_t Do = rotl64(Cu, 1) ^ Ci;
uint64_t Du = rotl64(Ca, 1) ^ Co;
Aba ^= Da; Abe ^= De; Abi ^= Di; Abo ^= Do; Abu ^= Du;
Aga ^= Da; Age ^= De; Agi ^= Di; Ago ^= Do; Agu ^= Du;
Aka ^= Da; Ake ^= De; Aki ^= Di; Ako ^= Do; Aku ^= Du;
Ama ^= Da; Ame ^= De; Ami ^= Di; Amo ^= Do; Amu ^= Du;
Asa ^= Da; Ase ^= De; Asi ^= Di; Aso ^= Do; Asu ^= Du;
// ---- Rho + Pi ------------------------------------------------------
uint64_t Bba = Aba;
uint64_t Bbe = rotl64(Age, 44);
uint64_t Bbi = rotl64(Aki, 43);
uint64_t Bbo = rotl64(Amo, 21);
uint64_t Bbu = rotl64(Asu, 14);
uint64_t Bga = rotl64(Abo, 28);
uint64_t Bge = rotl64(Agu, 20);
uint64_t Bgi = rotl64(Aka, 3);
uint64_t Bgo = rotl64(Ame, 45);
uint64_t Bgu = rotl64(Asi, 61);
uint64_t Bka = rotl64(Abe, 1);
uint64_t Bke = rotl64(Agi, 6);
uint64_t Bki = rotl64(Ako, 25);
uint64_t Bko = rotl64(Amu, 8);
uint64_t Bku = rotl64(Asa, 18);
uint64_t Bma = rotl64(Abu, 27);
uint64_t Bme = rotl64(Aga, 36);
uint64_t Bmi = rotl64(Ake, 10);
uint64_t Bmo = rotl64(Ami, 15);
uint64_t Bmu = rotl64(Aso, 56);
uint64_t Bsa = rotl64(Abi, 62);
uint64_t Bse = rotl64(Ago, 55);
uint64_t Bsi = rotl64(Aku, 39);
uint64_t Bso = rotl64(Ama, 41);
uint64_t Bsu = rotl64(Ase, 2);
// ---- Chi -----------------------------------------------------------
Aba = Bba ^ ((~Bbe) & Bbi);
Abe = Bbe ^ ((~Bbi) & Bbo);
Abi = Bbi ^ ((~Bbo) & Bbu);
Abo = Bbo ^ ((~Bbu) & Bba);
Abu = Bbu ^ ((~Bba) & Bbe);
Aga = Bga ^ ((~Bge) & Bgi);
Age = Bge ^ ((~Bgi) & Bgo);
Agi = Bgi ^ ((~Bgo) & Bgu);
Ago = Bgo ^ ((~Bgu) & Bga);
Agu = Bgu ^ ((~Bga) & Bge);
Aka = Bka ^ ((~Bke) & Bki);
Ake = Bke ^ ((~Bki) & Bko);
Aki = Bki ^ ((~Bko) & Bku);
Ako = Bko ^ ((~Bku) & Bka);
Aku = Bku ^ ((~Bka) & Bke);
Ama = Bma ^ ((~Bme) & Bmi);
Ame = Bme ^ ((~Bmi) & Bmo);
Ami = Bmi ^ ((~Bmo) & Bmu);
Amo = Bmo ^ ((~Bmu) & Bma);
Amu = Bmu ^ ((~Bma) & Bme);
Asa = Bsa ^ ((~Bse) & Bsi);
Ase = Bse ^ ((~Bsi) & Bso);
Asi = Bsi ^ ((~Bso) & Bsu);
Aso = Bso ^ ((~Bsu) & Bsa);
Asu = Bsu ^ ((~Bsa) & Bse);
// ---- Iota ----------------------------------------------------------
Aba ^= KECCAK_RC[round];
// Store back
s[0]=Aba; s[5]=Aga; s[10]=Aka; s[15]=Ama; s[20]=Asa;
s[1]=Abe; s[6]=Age; s[11]=Ake; s[16]=Ame; s[21]=Ase;
s[2]=Abi; s[7]=Agi; s[12]=Aki; s[17]=Ami; s[22]=Asi;
s[3]=Abo; s[8]=Ago; s[13]=Ako; s[18]=Amo; s[23]=Aso;
s[4]=Abu; s[9]=Agu; s[14]=Aku; s[19]=Amu; s[24]=Asu;
}
}
// Device SHA3-512 for a single 64-byte message; writes lane-LE bytes to out_le64
// Note: Input is treated as raw message bytes. We absorb them directly into the Keccak rate
// as little-endian 64-bit lanes to mirror the host sha3 crate semantics.
__device__ __forceinline__ void sha3_512_64bytes_le(const uint8_t in_msg_bytes[64], uint8_t out_le64[64]) {
// Initialize state to zero
uint64_t s[25];
#pragma unroll
for (int i = 0; i < 25; ++i) s[i] = 0ull;
// Absorb (rate = 72 bytes). Message is 64 bytes: append 0x06 then pad with zeros and set last of rate |= 0x80
uint8_t block[72];
#pragma unroll
for (int i = 0; i < 72; ++i) block[i] = 0;
#pragma unroll
for (int i = 0; i < 64; ++i) block[i] = in_msg_bytes[i];
block[64] = 0x06;
block[71] ^= 0x80;
// XOR into state lanes as little-endian 64-bit words
#pragma unroll
for (int i = 0; i < 9; ++i) {
s[i] ^= load64_le(&block[i * 8]);
}
// Permute
keccak_f1600(s);
// Squeeze 64 bytes (8 lanes) into little-endian lane bytes
#pragma unroll
for (int i = 0; i < 8; ++i) {
store64_le(&out_le64[i * 8], s[i]);
}
}
// Kernel: G2 — device SHA3-512 + threshold compare + early-exit
extern "C" __global__ void qpow_montgomery_g2_kernel(
// Per-job constants (each 8 limbs, LE)
const uint64_t* __restrict__ m,
const uint64_t* __restrict__ n,
const uint64_t n0_inv,
const uint64_t* __restrict__ r2,
const uint64_t* __restrict__ m_hat,
// Per-thread starting state (normal domain)
const uint64_t* __restrict__ y0, // length: num_threads * 8 limbs
// G2-specific inputs/outputs
const uint8_t* __restrict__ target_be, // 64 bytes
const uint8_t* __restrict__ threshold_be, // 64 bytes
int* __restrict__ found_flag, // 0 -> not found, 1 -> found
uint32_t* __restrict__ out_index, // linear index (t * iters + j)
uint32_t* __restrict__ out_win_tid, // winner thread id (optional)
uint32_t* __restrict__ out_win_j, // winner iteration j (optional)
uint8_t* __restrict__ out_distance_be, // 64 bytes
// Debug output buffers (optional; host may pass nullptrs)
uint8_t* __restrict__ out_dbg_y_be, // 64 bytes (optional)
uint8_t* __restrict__ out_dbg_h_be, // 64 bytes (optional)
// Threading parameters
const uint32_t num_threads,
const uint32_t iters_per_thread,
const uint64_t covered_elems
) {
const uint32_t tid = blockIdx.x * blockDim.x + threadIdx.x;
if (tid >= num_threads) {
return;
}
// Quick early-exit check
if (atomicAdd(found_flag, 0) != 0) {
return;
}
// Local copies of constants (prefer __constant__ if available)
uint64_t n_loc[8], r2_loc[8], mhat_loc[8];
if (C_CONSTS_READY) {
#pragma unroll
for (int i = 0; i < 8; ++i) {
n_loc[i] = C_N[i];
r2_loc[i] = C_R2[i];
mhat_loc[i] = C_MHAT[i];
}
} else {
#pragma unroll
for (int i = 0; i < 8; ++i) {
n_loc[i] = n[i];
r2_loc[i] = r2[i];
mhat_loc[i] = m_hat[i];
}
}
// Load this thread's y0 (normal domain) and move to Montgomery domain
uint64_t y0_loc[8];
#pragma unroll
for (int i = 0; i < 8; ++i) {
y0_loc[i] = y0[tid * 8u + i];
}
const uint64_t n0i = C_CONSTS_READY ? C_N0_INV : n0_inv;
uint64_t yhat[8];
to_mont_512(y0_loc, r2_loc, n_loc, n0i, yhat);
// Prepare target/threshold big-endian bytes (numeric)
uint8_t target_be_bytes[64], thresh_be_bytes[64];
if (C_CONSTS_READY) {
#pragma unroll
for (int i = 0; i < 8; ++i) {
store64_be(&target_be_bytes[i * 8], C_TARGET[i]);
store64_be(&thresh_be_bytes[i * 8], C_THRESH[i]);
}
} else {
#pragma unroll
for (int i = 0; i < 64; ++i) {
target_be_bytes[i] = target_be[i];
thresh_be_bytes[i] = threshold_be[i];
}
}
// Bound per-thread work to the assigned coverage to avoid hashing beyond the range
uint64_t thread_base = (uint64_t)tid * (uint64_t)iters_per_thread;
if (thread_base >= covered_elems) {
return;
}
uint64_t remain_for_thread = covered_elems - thread_base;
uint32_t iters = iters_per_thread;
if ((uint64_t)iters > remain_for_thread) {
iters = (uint32_t)remain_for_thread;
}
// Iterate and check threshold
for (uint32_t j = 0; j < iters; ++j) {
// Respect early-exit
if (atomicAdd(found_flag, 0) != 0) {
return;
}
// Debug: force a winner to exercise GPU->CPU signaling
if (C_DEBUG_FORCE_WIN != 0 && tid == 0 && j == 0) {
if (atomicCAS(found_flag, 0, 1) == 0) {
if (out_index) {
*out_index = tid * iters_per_thread + j;
}
if (out_win_tid) {
*out_win_tid = tid;
}
if (out_win_j) {
*out_win_j = j;
}
if (out_distance_be) {
#pragma unroll
for (int i = 0; i < 64; ++i) {
out_distance_be[i] = 0;
}
}
if (out_dbg_y_be) {
#pragma unroll
for (int i = 0; i < 64; ++i) {
out_dbg_y_be[i] = 0;
}
}
if (out_dbg_h_be) {
#pragma unroll
for (int i = 0; i < 64; ++i) {
out_dbg_h_be[i] = 0;
}
}
if (C_SAMPLER_ENABLE && tid == 0) {
C_SAMPLER_INDEX = tid * iters_per_thread + j;
C_SAMPLER_DECISION = 1u;
}
}
return;
}
// y_hat = y_hat * m_hat
uint64_t yhat_next[8];
mont_mul_512(yhat, mhat_loc, n_loc, n0i, yhat_next);
#pragma unroll
for (int i = 0; i < 8; ++i) {
yhat[i] = yhat_next[i];
}
// y = from_mont(y_hat)
uint64_t y_norm[8];
from_mont_512(yhat, n_loc, n0i, y_norm);
// y_be64 (64 bytes) from LE limbs
uint8_t y_be[64];
le8_to_be64_bytes(y_norm, y_be);
// H = SHA3-512(y_be) -> produce lane-LE bytes
uint8_t h_le[64];
sha3_512_64bytes_le(y_be, h_le);
// Use SHA3 output bytes directly to match host pow-core digest semantics
uint8_t digest_be[64];
#pragma unroll
for (int i = 0; i < 64; ++i) {
digest_be[i] = h_le[i];
}
// distance = target_be XOR digest_be (bytewise, big-endian order)
uint8_t dist_be[64];
#pragma unroll
for (int i = 0; i < 64; ++i) {
dist_be[i] = target_be_bytes[i] ^ digest_be[i];
}
// Compare distance <= threshold (lexicographic on big-endian bytes)
bool decision = be64_leq(dist_be, thresh_be_bytes);
// Optional sampler (first thread/iter): capture y/H/target/thresh for parity
if (C_SAMPLER_ENABLE && tid == 0 && j == 0) {
#pragma unroll
for (int i = 0; i < 64; ++i) {
C_SAMPLER_Y_BE[i] = y_be[i];
C_SAMPLER_H_BE[i] = digest_be[i];
C_SAMPLER_TARGET_BE[i] = target_be_bytes[i];
C_SAMPLER_THRESH_BE[i] = thresh_be_bytes[i];
}
C_SAMPLER_INDEX = tid * iters_per_thread + j;
C_SAMPLER_DECISION = decision ? 1u : 0u;
}
if (decision) {
// Try to claim the flag
if (atomicCAS(found_flag, 0, 1) == 0) {
// Write linear index for host to reconstruct nonce
if (out_index) {
*out_index = tid * iters_per_thread + j;
}
// Record winner thread and iteration for host-side nonce reconstruction
if (out_win_tid) {
*out_win_tid = tid;
}
if (out_win_j) {
*out_win_j = j;
}
// Write distance and debug buffers (if provided)
if (out_distance_be) {
#pragma unroll
for (int i = 0; i < 64; ++i) {
out_distance_be[i] = dist_be[i];
}
}
if (out_dbg_y_be) {
#pragma unroll
for (int i = 0; i < 64; ++i) {
out_dbg_y_be[i] = y_be[i];
}
}
if (out_dbg_h_be) {
#pragma unroll
for (int i = 0; i < 64; ++i) {
out_dbg_h_be[i] = digest_be[i];
}
}
}
return; // early-exit after claiming (or if already claimed)
}
}
}
} // extern "C"
File diff suppressed because it is too large Load Diff
-25
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@@ -1,25 +0,0 @@
[package]
name = "engine-gpu-opencl"
version.workspace = true
edition.workspace = true
publish = false
description = "OpenCL-based GPU mining engine for the Quantus External Miner (placeholder crate)"
[lib]
path = "src/lib.rs"
crate-type = ["rlib"]
[features]
default = []
# Enable OpenCL integrations when implementing the engine.
opencl = ["dep:ocl"]
[dependencies]
pow-core = { path = "../pow-core" }
primitive-types = { workspace = true }
log = { workspace = true }
thiserror = { workspace = true }
anyhow = { workspace = true }
# OpenCL ecosystem (optional for now; will be used when implementing GPU backend)
ocl = { version = "0.19", optional = true }
-101
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@@ -1,101 +0,0 @@
#![deny(rust_2018_idioms)]
#![forbid(unsafe_code)]
//! OpenCL-based GPU mining engine (placeholder)
//!
//! This crate is a scaffold for a future OpenCL backend that will implement the
//! mining engine interface used by the service layer. It currently provides:
//! - An `OpenClEngine` type with a constructor and basic helpers.
//! - Documentation of the intended integration points.
//!
//! Planned responsibilities (non-exhaustive):
//! - Accept a prepared `JobContext` (from `pow-core`) per job.
//! - Partition nonce ranges into GPU work assignments.
//! - Run an OpenCL kernel that performs, per nonce in the range:
//! - y <- y * m (mod n) using Montgomery multiplication (in Montgomery domain)
//! - nonce_element <- SHA3_512(y) in the normal domain
//! - distance <- target XOR nonce_element
//! - if distance <= threshold: report solution and signal early-cancel
//! - Coordinate early-exit via device-global flags and host polling.
//!
//! Notes:
//! - This crate deliberately does NOT implement the `MinerEngine` trait yet,
//! because the engine trait currently lives in `engine-cpu`. Once the trait
//! is promoted to a shared crate (or re-exported for engines), this crate
//! will implement it and become selectable at runtime via the service config.
//! - OpenCL bindings (e.g., via the `ocl` crate) and kernels will be added
//! behind feature flags (e.g., `opencl`). For now, we only offer placeholders
//! so the workspace compiles cleanly and the integration points are clear.
use pow_core::JobContext;
use primitive_types::U512;
/// Placeholder type for the OpenCL engine.
///
/// When fully implemented, this engine will manage OpenCL platform/device
/// discovery, context/queue creation, kernel compilation, memory transfers,
/// and kernel launches. It will expose the same search-range semantics as
/// the CPU engine(s) but backed by the GPU.
#[derive(Default, Debug)]
pub struct OpenClEngine {
// Future fields (examples):
// platform_id: usize,
// device_id: usize,
// context: ocl::Context,
// queue: ocl::Queue,
// program: ocl::Program,
// kernel: ocl::Kernel,
}
impl OpenClEngine {
/// Construct a new OpenCL engine placeholder.
///
/// Future versions may accept configuration (e.g., platform/device index).
pub fn new() -> Self {
Self::default()
}
/// Human-readable name for logs/metrics.
pub fn name(&self) -> &'static str {
"gpu-opencl (placeholder)"
}
/// Prepare a precomputed job context for a given header and threshold.
///
/// This defers to `pow-core` to derive (m, n) and `target` from the header.
/// In a full OpenCL implementation, this context will be uploaded to device
/// constant buffers or passed as kernel arguments.
pub fn prepare_context(&self, header_hash: [u8; 32], threshold: U512) -> JobContext {
JobContext::new(header_hash, threshold)
}
/// Returns whether this build has OpenCL support compiled in.
///
/// When actual OpenCL integration is added behind a feature flag, this will
/// return true only if that feature is enabled.
pub fn opencl_available(&self) -> bool {
// Adjust once actual OpenCL integration is implemented behind a feature:
// cfg!(feature = "opencl")
false
}
}
#[cfg(test)]
mod tests {
use super::*;
use primitive_types::U512;
#[test]
fn placeholder_engine_basics() {
let eng = OpenClEngine::new();
assert_eq!(eng.name(), "gpu-opencl (placeholder)");
// Ensure context creation works and is deterministic in shape.
let header = [1u8; 32];
let threshold = U512::from(12345u64);
let ctx = eng.prepare_context(header, threshold);
assert_eq!(ctx.header, header);
assert_eq!(ctx.threshold, threshold);
}
}
+47
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@@ -0,0 +1,47 @@
[package]
name = "engine-gpu"
version.workspace = true
edition.workspace = true
publish = false
description = "GPU mining engine implementation for the Quantus External Miner"
# [lib]
# path = "src/main.rs"
# crate-type = ["rlib"]
[features]
# Default to the baseline/reference implementation; enable others as needed.
default = ["baseline"]
# Map engine features (pow-core dependency removed for now)
baseline = []
simd-poseidon2 = []
[dependencies]
engine-cpu = { path = "../engine-cpu" }
pow-core = { path = "../pow-core" }
primitive-types = { workspace = true }
log = { workspace = true }
qp-poseidon-core = { workspace = true }
qp-poseidon-constants = "1.1"
qp-plonky2-field = { version = "1.1.1" }
plonky2 = { package = "qp-plonky2", version = "1.1.3" }
wgpu = { version = "27.0.1" } # GPU compute library
tokio = { workspace = true, features = ["rt", "rt-multi-thread", "time"] } # Async runtime with timeout support
futures = "0.3" # For async oneshot channels in test modules
bytemuck = "1.16" # For buffer mapping
rand = { workspace = true, features = ["std", "std_rng"] }
rand_chacha = "0.9" # For deterministic random test generation
regex = "1" # For GPU name pattern matching
[dev-dependencies]
hex = { workspace = true }
criterion = "0.5"
rand = { workspace = true, features = ["std", "std_rng"] }
env_logger.workspace = true
tokio = { workspace = true, features = ["macros", "rt", "rt-multi-thread", "time"] } # Add macros for #[tokio::main]
[[bench]]
name = "gpu_engine_bench"
harness = false
@@ -0,0 +1,363 @@
use criterion::{black_box, criterion_group, criterion_main, Criterion};
use engine_cpu::{AtomicBoolCancelCheck, FastCpuEngine, MinerEngine, Range};
use engine_gpu::GpuEngine;
use pow_core::JobContext;
use primitive_types::U512;
use rand::RngCore;
use std::sync::atomic::AtomicBool;
/// Drop thread-local wgpu buffers before `GpuEngine` is dropped. Criterion
/// creates a fresh engine per group; without this, TLS buffers outlive the
/// device and the next group panics (`Buffer[…] does not exist`).
fn teardown_gpu(engine: GpuEngine) {
GpuEngine::clear_worker_resources();
drop(engine);
}
fn bench_cpu_vs_gpu_small(c: &mut Criterion) {
let cpu_engine = FastCpuEngine::new(10_000);
let gpu_engine = GpuEngine::try_new(10_000_000, 0, false).expect("Failed to init GPU");
let cancel_flag = AtomicBool::new(false);
let cancel_check = AtomicBoolCancelCheck(&cancel_flag);
// Small range: 10K nonces - reasonable for benchmarking
let small_range = Range {
start: U512::from(0u64),
end: U512::from(10_000u64),
};
let mut group = c.benchmark_group("small_range_10k");
group.sample_size(10);
group.measurement_time(std::time::Duration::from_secs(3));
group.bench_function("cpu", |b| {
b.iter(|| {
let mut header = [0u8; 32];
rand::rng().fill_bytes(&mut header);
let difficulty = U512::from(u64::MAX); // High difficulty - no solutions expected
let ctx = JobContext::new(header, difficulty);
let result = cpu_engine.search_range(
black_box(&ctx),
black_box(small_range.clone()),
black_box(&cancel_check),
);
black_box(result)
})
});
group.bench_function("gpu", |b| {
b.iter(|| {
let mut header = [0u8; 32];
rand::rng().fill_bytes(&mut header);
let difficulty = U512::from(u64::MAX); // High difficulty - no solutions expected
let ctx = JobContext::new(header, difficulty);
let result = gpu_engine.search_range(
black_box(&ctx),
black_box(small_range.clone()),
black_box(&cancel_check),
);
black_box(result)
})
});
group.finish();
teardown_gpu(gpu_engine);
}
fn bench_cpu_vs_gpu_medium(c: &mut Criterion) {
let cpu_engine = FastCpuEngine::new(10_000);
let gpu_engine = GpuEngine::try_new(10_000_000, 0, false).expect("Failed to init GPU");
let cancel_flag = AtomicBool::new(false);
let cancel_check = AtomicBoolCancelCheck(&cancel_flag);
// Medium range: 100K nonces
let medium_range = Range {
start: U512::from(0u64),
end: U512::from(100_000u64),
};
let mut group = c.benchmark_group("medium_range_100k");
group.sample_size(10);
group.measurement_time(std::time::Duration::from_secs(3));
group.bench_function("cpu", |b| {
b.iter(|| {
let mut header = [0u8; 32];
rand::rng().fill_bytes(&mut header);
let difficulty = U512::from(u64::MAX); // High difficulty - no solutions expected
let ctx = JobContext::new(header, difficulty);
let result = cpu_engine.search_range(
black_box(&ctx),
black_box(medium_range.clone()),
black_box(&cancel_check),
);
black_box(result)
})
});
group.bench_function("gpu", |b| {
b.iter(|| {
let mut header = [0u8; 32];
rand::rng().fill_bytes(&mut header);
let difficulty = U512::from(u64::MAX); // High difficulty - no solutions expected
let ctx = JobContext::new(header, difficulty);
let result = gpu_engine.search_range(
black_box(&ctx),
black_box(medium_range.clone()),
black_box(&cancel_check),
);
black_box(result)
})
});
group.finish();
teardown_gpu(gpu_engine);
}
fn bench_cpu_vs_gpu_large(c: &mut Criterion) {
let cpu_engine = FastCpuEngine::new(10_000);
let gpu_engine = GpuEngine::try_new(10_000_000, 0, false).expect("Failed to init GPU");
let cancel_flag = AtomicBool::new(false);
let cancel_check = AtomicBoolCancelCheck(&cancel_flag);
// Large range: 1M nonces - where GPU should really shine
let large_range = Range {
start: U512::from(0u64),
end: U512::from(1_000_000u64),
};
let mut group = c.benchmark_group("large_range_1m");
group.sample_size(10);
group.measurement_time(std::time::Duration::from_secs(5));
group.bench_function("cpu", |b| {
b.iter(|| {
let mut header = [0u8; 32];
rand::rng().fill_bytes(&mut header);
let difficulty = U512::from(u64::MAX); // High difficulty - no solutions expected
let ctx = JobContext::new(header, difficulty);
let result = cpu_engine.search_range(
black_box(&ctx),
black_box(large_range.clone()),
black_box(&cancel_check),
);
black_box(result)
})
});
group.bench_function("gpu", |b| {
b.iter(|| {
let mut header = [0u8; 32];
rand::rng().fill_bytes(&mut header);
let difficulty = U512::from(u64::MAX); // High difficulty - no solutions expected
let ctx = JobContext::new(header, difficulty);
let result = gpu_engine.search_range(
black_box(&ctx),
black_box(large_range.clone()),
black_box(&cancel_check),
);
black_box(result)
})
});
group.finish();
teardown_gpu(gpu_engine);
}
fn bench_solution_finding(c: &mut Criterion) {
let cpu_engine = FastCpuEngine::new(10_000);
let gpu_engine = GpuEngine::try_new(10_000_000, 0, false).expect("Failed to init GPU");
let cancel_flag = AtomicBool::new(false);
let cancel_check = AtomicBoolCancelCheck(&cancel_flag);
// Range where we expect to find solutions quickly
let solution_range = Range {
start: U512::from(0u64),
end: U512::from(50_000u64),
};
let mut group = c.benchmark_group("solution_finding");
group.sample_size(10);
group.measurement_time(std::time::Duration::from_secs(3));
group.bench_function("cpu_find_solution", |b| {
b.iter(|| {
let mut header = [0u8; 32];
rand::rng().fill_bytes(&mut header);
let difficulty = U512::from(10_000u64); // Easy difficulty - should find solution
let ctx = JobContext::new(header, difficulty);
let result = cpu_engine.search_range(
black_box(&ctx),
black_box(solution_range.clone()),
black_box(&cancel_check),
);
black_box(result)
})
});
group.bench_function("gpu_find_solution", |b| {
b.iter(|| {
let mut header = [0u8; 32];
rand::rng().fill_bytes(&mut header);
let difficulty = U512::from(10_000u64); // Easy difficulty - should find solution
let ctx = JobContext::new(header, difficulty);
let result = gpu_engine.search_range(
black_box(&ctx),
black_box(solution_range.clone()),
black_box(&cancel_check),
);
black_box(result)
})
});
group.finish();
teardown_gpu(gpu_engine);
}
fn bench_throughput_per_second(c: &mut Criterion) {
let cpu_engine = FastCpuEngine::new(10_000);
let gpu_engine = GpuEngine::try_new(10_000_000, 0, false).expect("Failed to init GPU");
let cancel_flag = AtomicBool::new(false);
let cancel_check = AtomicBoolCancelCheck(&cancel_flag);
// Fixed time benchmark - see how many hashes we can do in 1 second
let throughput_range = Range {
start: U512::from(0u64),
end: U512::from(10_000_000u64), // 10M nonce range
};
let mut group = c.benchmark_group("throughput_comparison");
group.sample_size(10);
group.measurement_time(std::time::Duration::from_secs(5));
group.bench_function("cpu_throughput", |b| {
b.iter(|| {
let mut header = [0u8; 32];
rand::rng().fill_bytes(&mut header);
let difficulty = U512::from(u64::MAX); // High difficulty - no solutions expected
let ctx = JobContext::new(header, difficulty);
let result = cpu_engine.search_range(
black_box(&ctx),
black_box(throughput_range.clone()),
black_box(&cancel_check),
);
black_box(result)
})
});
group.bench_function("gpu_throughput", |b| {
b.iter(|| {
let mut header = [0u8; 32];
rand::rng().fill_bytes(&mut header);
let difficulty = U512::from(u64::MAX); // High difficulty - no solutions expected
let ctx = JobContext::new(header, difficulty);
let result = gpu_engine.search_range(
black_box(&ctx),
black_box(throughput_range.clone()),
black_box(&cancel_check),
);
black_box(result)
})
});
group.finish();
teardown_gpu(gpu_engine);
}
fn bench_gpu_batch_efficiency(c: &mut Criterion) {
let gpu_engine = GpuEngine::try_new(10_000_000, 0, false).expect("Failed to init GPU");
let cancel_flag = AtomicBool::new(false);
let cancel_check = AtomicBoolCancelCheck(&cancel_flag);
let mut group = c.benchmark_group("gpu_batch_sizes");
group.sample_size(10);
group.measurement_time(std::time::Duration::from_secs(3));
// Test different batch sizes to see GPU efficiency
let small_batch = Range {
start: U512::from(0u64),
end: U512::from(1_000u64), // 1K nonces - very small for GPU
};
let medium_batch = Range {
start: U512::from(0u64),
end: U512::from(50_000u64), // 50K nonces - medium
};
let large_batch = Range {
start: U512::from(0u64),
end: U512::from(500_000u64), // 500K nonces - large
};
group.bench_function("gpu_1k_batch", |b| {
b.iter(|| {
let mut header = [0u8; 32];
rand::rng().fill_bytes(&mut header);
let difficulty = U512::from(u64::MAX);
let ctx = JobContext::new(header, difficulty);
let result = gpu_engine.search_range(
black_box(&ctx),
black_box(small_batch.clone()),
black_box(&cancel_check),
);
black_box(result)
})
});
group.bench_function("gpu_50k_batch", |b| {
b.iter(|| {
let mut header = [0u8; 32];
rand::rng().fill_bytes(&mut header);
let difficulty = U512::from(u64::MAX);
let ctx = JobContext::new(header, difficulty);
let result = gpu_engine.search_range(
black_box(&ctx),
black_box(medium_batch.clone()),
black_box(&cancel_check),
);
black_box(result)
})
});
group.bench_function("gpu_500k_batch", |b| {
b.iter(|| {
let mut header = [0u8; 32];
rand::rng().fill_bytes(&mut header);
let difficulty = U512::from(u64::MAX);
let ctx = JobContext::new(header, difficulty);
let result = gpu_engine.search_range(
black_box(&ctx),
black_box(large_batch.clone()),
black_box(&cancel_check),
);
black_box(result)
})
});
group.finish();
teardown_gpu(gpu_engine);
}
criterion_group!(
benches,
bench_cpu_vs_gpu_small,
bench_cpu_vs_gpu_medium,
bench_cpu_vs_gpu_large,
bench_solution_finding,
bench_throughput_per_second,
bench_gpu_batch_efficiency
);
criterion_main!(benches);
@@ -0,0 +1,63 @@
use engine_cpu::{AtomicBoolCancelCheck, EngineStatus, MinerEngine, Range};
use engine_gpu::GpuEngine;
use primitive_types::U512;
use rand::RngCore;
use std::sync::atomic::AtomicBool;
fn main() {
env_logger::init();
let jobs: usize = std::env::args()
.nth(1)
.map(|s| s.parse().expect("job count"))
.unwrap_or(25);
let engine = GpuEngine::try_new(1_000_000, 0, false).expect("GPU init failed");
let cancel_flag = AtomicBool::new(false);
let cancel = AtomicBoolCancelCheck(&cancel_flag);
let mut rng = rand::rng();
let mut found = 0usize;
for job in 0..jobs {
let mut header = [0u8; 32];
rng.fill_bytes(&mut header);
let difficulty = U512::from(100_000u64);
let ctx = engine.prepare_context(header, difficulty);
let start = if job == 0 {
// Cross a 2^256 boundary: the high nonce half changes mid-range,
// exercising the midstate batch clamp.
(U512::from(3u64) << 256) - U512::from(1_000u64)
} else {
let mut start_bytes = [0u8; 64];
rng.fill_bytes(&mut start_bytes);
// Keep clear of the very top so range arithmetic cannot wrap
start_bytes[0] = 0;
U512::from_big_endian(&start_bytes)
};
let range = Range {
start,
end: start + U512::from(10_000_000u64),
};
match engine.search_range(&ctx, range.clone(), &cancel) {
EngineStatus::Found { candidate, .. } => {
let cpu_hash = pow_core::hash_from_nonce(&ctx, candidate.nonce);
assert_eq!(
cpu_hash, candidate.hash,
"job {job}: GPU hash != CPU hash for nonce {}",
candidate.nonce
);
assert!(cpu_hash < ctx.target, "job {job}: hash not below target");
assert!(
candidate.nonce >= range.start && candidate.nonce <= range.end,
"job {job}: nonce outside range"
);
found += 1;
}
EngineStatus::Exhausted { .. } => {}
other => panic!("job {job}: unexpected status {other:?}"),
}
}
assert!(found > 0, "no solutions found across {jobs} jobs");
println!("PARITY OK: {found}/{jobs} jobs found solutions, all verified against CPU");
}
@@ -0,0 +1,30 @@
fn main() {
let instance = wgpu::Instance::new(&wgpu::InstanceDescriptor {
backends: wgpu::Backends::PRIMARY,
..Default::default()
});
for adapter in instance.enumerate_adapters(wgpu::Backends::PRIMARY) {
let info = adapter.get_info();
let features = adapter.features();
println!("{} ({:?}, {:?})", info.name, info.device_type, info.backend);
println!(
" SHADER_INT64: {}",
features.contains(wgpu::Features::SHADER_INT64)
);
println!(
" SUBGROUP: {}",
features.contains(wgpu::Features::SUBGROUP)
);
println!(
" TIMESTAMP_QUERY: {}",
features.contains(wgpu::Features::TIMESTAMP_QUERY)
);
let limits = adapter.limits();
println!(
" max_workgroup_size_x: {}, max_invocations: {}, max_workgroups_per_dim: {}",
limits.max_compute_workgroup_size_x,
limits.max_compute_invocations_per_workgroup,
limits.max_compute_workgroups_per_dimension
);
}
}
+52
View File
@@ -0,0 +1,52 @@
use engine_cpu::{AtomicBoolCancelCheck, MinerEngine, Range};
use engine_gpu::GpuEngine;
use primitive_types::U512;
use std::sync::atomic::AtomicBool;
fn main() {
env_logger::init();
let args: Vec<String> = std::env::args().collect();
let total: u64 = args
.get(1)
.map(|s| s.parse().expect("total nonces"))
.unwrap_or(4_000_000);
let batch: u32 = args
.get(2)
.map(|s| s.parse().expect("batch size"))
.unwrap_or(1_000_000);
let engine = GpuEngine::try_new(batch, 0, false).expect("GPU init failed");
let cancel_flag = AtomicBool::new(false);
let cancel = AtomicBoolCancelCheck(&cancel_flag);
let header = [42u8; 32];
let ctx = engine.prepare_context(header, U512::from(u64::MAX));
let range = Range {
start: U512::from(1u64) << 200,
end: (U512::from(1u64) << 200) + U512::from(total - 1),
};
// Warmup
let warm = Range {
start: range.start,
end: range.start + U512::from(200_000u64),
};
engine.search_range(&ctx, warm, &cancel);
let start = std::time::Instant::now();
let status = engine.search_range(&ctx, range, &cancel);
let elapsed = start.elapsed().as_secs_f64();
let hashes = match status {
engine_cpu::EngineStatus::Exhausted { hash_count } => hash_count,
engine_cpu::EngineStatus::Found { hash_count, .. } => hash_count,
other => panic!("unexpected status: {other:?}"),
};
println!(
"{} hashes in {:.3}s = {:.3} MH/s",
hashes,
elapsed,
hashes as f64 / elapsed / 1e6
);
}
@@ -0,0 +1,229 @@
use pow_core::{hash_from_nonce, mining_midstate, JobContext};
use primitive_types::U512;
use std::time::Instant;
fn u512_to_u32s_le(v: U512) -> [u32; 16] {
let bytes = v.to_little_endian();
let mut out = [0u32; 16];
for i in 0..16 {
out[i] = u32::from_le_bytes(bytes[i * 4..(i + 1) * 4].try_into().unwrap());
}
out
}
struct Runner {
device: wgpu::Device,
queue: wgpu::Queue,
pipeline: wgpu::ComputePipeline,
results: wgpu::Buffer,
midstate: wgpu::Buffer,
start_nonce: wgpu::Buffer,
target: wgpu::Buffer,
cfg: wgpu::Buffer,
staging: wgpu::Buffer,
}
impl Runner {
async fn new(trusted: bool) -> Self {
let instance = wgpu::Instance::new(&wgpu::InstanceDescriptor {
backends: wgpu::Backends::PRIMARY,
..Default::default()
});
let adapter = instance
.request_adapter(&wgpu::RequestAdapterOptions::default())
.await
.expect("no adapter");
assert!(
adapter.features().contains(wgpu::Features::SHADER_INT64),
"SHADER_INT64 required"
);
let (device, queue) = adapter
.request_device(&wgpu::DeviceDescriptor {
label: None,
required_features: wgpu::Features::SHADER_INT64,
..Default::default()
})
.await
.unwrap();
let kernel = engine_gpu::Kernel::for_adapter(&adapter);
let desc = wgpu::ShaderModuleDescriptor {
label: Some(kernel.label()),
source: wgpu::ShaderSource::Wgsl(kernel.source().into()),
};
let shader = if trusted {
unsafe {
device.create_shader_module_trusted(desc, wgpu::ShaderRuntimeChecks::unchecked())
}
} else {
device.create_shader_module(desc)
};
let pipeline = device.create_compute_pipeline(&wgpu::ComputePipelineDescriptor {
label: None,
layout: None,
module: &shader,
entry_point: Some("mining_main"),
compilation_options: Default::default(),
cache: None,
});
let mk = |size: u64, usage| {
device.create_buffer(&wgpu::BufferDescriptor {
label: None,
size,
usage,
mapped_at_creation: false,
})
};
use wgpu::BufferUsages as U;
Runner {
pipeline,
results: mk(132, U::STORAGE | U::COPY_SRC | U::COPY_DST),
midstate: mk(96, U::STORAGE | U::COPY_DST),
start_nonce: mk(64, U::STORAGE | U::COPY_DST),
target: mk(64, U::STORAGE | U::COPY_DST),
cfg: mk(12, U::STORAGE | U::COPY_DST),
staging: mk(132, U::MAP_READ | U::COPY_DST),
device,
queue,
}
}
fn run_batch(&self, header: [u8; 32], start: U512, batch: u32, target: U512) -> f64 {
let nonce_be = start.to_big_endian();
let mid = mining_midstate(header, nonce_be[..32].try_into().unwrap());
let mut mid_u32 = [0u32; 24];
for (i, f) in mid.iter().enumerate() {
mid_u32[2 * i] = *f as u32;
mid_u32[2 * i + 1] = (*f >> 32) as u32;
}
self.queue
.write_buffer(&self.midstate, 0, bytemuck::cast_slice(&mid_u32));
self.queue.write_buffer(
&self.start_nonce,
0,
bytemuck::cast_slice(&u512_to_u32s_le(start)),
);
self.queue.write_buffer(
&self.target,
0,
bytemuck::cast_slice(&u512_to_u32s_le(target)),
);
self.queue
.write_buffer(&self.cfg, 0, bytemuck::cast_slice(&[batch, 1u32, batch]));
self.queue.write_buffer(&self.results, 0, &[0u8; 132]);
let layout = self.pipeline.get_bind_group_layout(0);
let entries: Vec<wgpu::BindGroupEntry<'_>> = [
(0, &self.results),
(1, &self.midstate),
(2, &self.start_nonce),
(3, &self.target),
(4, &self.cfg),
]
.iter()
.map(|(i, b)| wgpu::BindGroupEntry {
binding: *i,
resource: b.as_entire_binding(),
})
.collect();
let bind_group = self.device.create_bind_group(&wgpu::BindGroupDescriptor {
label: None,
layout: &layout,
entries: &entries,
});
let t0 = Instant::now();
let mut encoder = self
.device
.create_command_encoder(&wgpu::CommandEncoderDescriptor { label: None });
{
let mut cpass = encoder.begin_compute_pass(&wgpu::ComputePassDescriptor {
label: None,
timestamp_writes: None,
});
cpass.set_pipeline(&self.pipeline);
cpass.set_bind_group(0, &bind_group, &[]);
cpass.dispatch_workgroups(batch.div_ceil(256), 1, 1);
}
encoder.copy_buffer_to_buffer(&self.results, 0, &self.staging, 0, 132);
self.queue.submit(Some(encoder.finish()));
let slice = self.staging.slice(..);
let (tx, rx) = std::sync::mpsc::channel();
slice.map_async(wgpu::MapMode::Read, move |r| tx.send(r).unwrap());
loop {
let _ = self.device.poll(wgpu::PollType::Wait {
submission_index: None,
timeout: None,
});
if rx.try_recv().is_ok() {
break;
}
}
let elapsed = t0.elapsed().as_secs_f64();
self.staging.unmap();
elapsed
}
fn read_results(&self) -> [u32; 33] {
let slice = self.staging.slice(..);
let (tx, rx) = std::sync::mpsc::channel();
slice.map_async(wgpu::MapMode::Read, move |r| tx.send(r).unwrap());
let _ = self.device.poll(wgpu::PollType::Wait {
submission_index: None,
timeout: None,
});
rx.recv().unwrap().unwrap();
let data = slice.get_mapped_range();
let mut out = [0u32; 33];
out.copy_from_slice(bytemuck::cast_slice(&data));
drop(data);
self.staging.unmap();
out
}
}
fn main() {
let batch: u32 = std::env::args()
.nth(1)
.map(|s| s.parse().unwrap())
.unwrap_or(8_000_000);
let iters = 4u32;
let rt = tokio::runtime::Runtime::new().unwrap();
for trusted in [false, true] {
let label = if trusted {
"trusted (no checks)"
} else {
"checked (default)"
};
let runner = rt.block_on(Runner::new(trusted));
let header = [9u8; 32];
let ctx = JobContext::new(header, U512::one());
let start = (U512::from(7u64) << 300) | U512::from(123456789u64);
runner.run_batch(header, start, 256, ctx.target);
let r = runner.read_results();
assert_eq!(r[0], 1, "{label}: no solution with target=MAX");
let nonce = U512::from_little_endian(bytemuck::cast_slice(&r[1..17]));
let hash = U512::from_little_endian(bytemuck::cast_slice(&r[17..33]));
assert_eq!(hash, hash_from_nonce(&ctx, nonce), "{label}: hash mismatch");
println!("{label}: correctness OK");
let header = [42u8; 32];
let start = U512::from(1u64) << 200;
let target = U512::one();
runner.run_batch(header, start, batch, target);
let mut total = 0.0;
for i in 0..iters {
total += runner.run_batch(
header,
start + U512::from((i as u64 + 1) * batch as u64),
batch,
target,
);
}
let mhs = (batch as f64 * iters as f64) / total / 1e6;
println!("{label}: {batch} nonces x{iters} in {total:.3}s = {mhs:.3} MH/s");
}
}
@@ -0,0 +1,66 @@
use engine_cpu::{AtomicBoolCancelCheck, EngineStatus, FastCpuEngine, MinerEngine, Range};
use engine_gpu::GpuEngine;
use primitive_types::U512;
use std::sync::atomic::AtomicBool;
fn main() {
// Initialize logging
env_logger::builder()
.filter_level(log::LevelFilter::Info)
.parse_default_env()
.init();
log::info!("Starting verify_nonce example");
// 1. Setup Context
// Use a fixed header and easy difficulty (1) so any nonce is valid
let header = [1u8; 32];
let difficulty = U512::from(u64::MAX); // High difficulty - no solutions expected
let cpu_engine = FastCpuEngine::new(10_000);
let ctx = cpu_engine.prepare_context(header, difficulty);
log::info!("Context prepared. Difficulty: {}", difficulty);
let cancel = AtomicBool::new(false);
let cancel_check = AtomicBoolCancelCheck(&cancel);
// 3. Verify with GPU engine
log::info!("Initializing GPU engine...");
let gpu_engine = GpuEngine::try_new(10_000_000, 0, false).expect("Failed to init GPU");
// Search a small range around the valid nonce
let gpu_range = Range {
start: U512::from(0u64),
end: U512::from(1_000_000u64), // Search 1,000,000 nonces
};
log::info!(
"Searching for nonce with GPU engine in range {} - {}",
gpu_range.start,
gpu_range.end
);
let start = std::time::Instant::now();
let gpu_result = gpu_engine.search_range(&ctx, gpu_range, &cancel_check);
let elapsed = start.elapsed();
log::info!("GPU search took {:?}", elapsed);
match gpu_result {
EngineStatus::Found { candidate, .. } => {
log::info!("GPU found nonce: {}", candidate.nonce);
log::info!("GPU hash: {:x}", candidate.hash);
}
EngineStatus::Exhausted { .. } => {
log::info!("GPU exhausted range (expected)");
}
EngineStatus::Cancelled { .. } => {
log::error!("FAILURE: GPU search cancelled!");
}
EngineStatus::DeviceLost { .. } => {
log::error!("FAILURE: GPU device lost!");
}
EngineStatus::Running { .. } => {
log::error!("FAILURE: GPU returned Running status!");
}
}
}
+228
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use pow_core::{hash_from_nonce, JobContext};
use primitive_types::U512;
use rand::Rng;
use rand::SeedableRng;
use wgpu::util::DeviceExt;
pub async fn test_end_to_end_mining(
device: &wgpu::Device,
queue: &wgpu::Queue,
shader_src: &str,
) -> Result<(), Box<dyn std::error::Error>> {
println!("Running End-to-End Mining Test...");
// 1. Setup a job context
let mut rng = rand_chacha::ChaCha8Rng::seed_from_u64(12345);
let mut header = [0u8; 32];
rng.fill(&mut header);
// Use difficulty 1 so target is MAX. Any hash should pass.
let difficulty = U512::from(1u64);
let ctx = JobContext::new(header, difficulty);
// 2. Pick a nonce
let nonce_val = U512::from(123456789u64);
// 3. Compute expected hash using CPU (pow-core)
let expected_hash = hash_from_nonce(&ctx, nonce_val);
println!("CPU Expected Hash: {:x}", expected_hash);
// 4. Run GPU Mining for this specific nonce
// Midstate Buffer (header + high nonce half absorbed on CPU)
let nonce_be = nonce_val.to_big_endian();
let midstate = pow_core::mining_midstate(ctx.header, nonce_be[..32].try_into().unwrap());
let mut midstate_u32s = [0u32; 24];
for (i, felt) in midstate.iter().enumerate() {
midstate_u32s[2 * i] = *felt as u32;
midstate_u32s[2 * i + 1] = (*felt >> 32) as u32;
}
let midstate_buffer = device.create_buffer_init(&wgpu::util::BufferInitDescriptor {
label: Some("Midstate Buffer"),
contents: bytemuck::cast_slice(&midstate_u32s),
usage: wgpu::BufferUsages::STORAGE,
});
// Target Buffer
let target_bytes = ctx.target.to_little_endian();
let mut target_u32s = [0u32; 16];
for i in 0..16 {
let chunk = &target_bytes[i * 4..(i + 1) * 4];
target_u32s[i] = u32::from_le_bytes([chunk[0], chunk[1], chunk[2], chunk[3]]);
}
let target_buffer = device.create_buffer_init(&wgpu::util::BufferInitDescriptor {
label: Some("Target Buffer"),
contents: bytemuck::cast_slice(&target_u32s),
usage: wgpu::BufferUsages::STORAGE,
});
// Start Nonce Buffer
// We set start_nonce = nonce_val. Thread 0 will check start_nonce + 0 = nonce_val.
let start_nonce_bytes = nonce_val.to_little_endian();
let mut start_nonce_u32s = [0u32; 16];
for i in 0..16 {
let chunk = &start_nonce_bytes[i * 4..(i + 1) * 4];
start_nonce_u32s[i] = u32::from_le_bytes([chunk[0], chunk[1], chunk[2], chunk[3]]);
}
let start_nonce_buffer = device.create_buffer_init(&wgpu::util::BufferInitDescriptor {
label: Some("Start Nonce Buffer"),
contents: bytemuck::cast_slice(&start_nonce_u32s),
usage: wgpu::BufferUsages::STORAGE,
});
// Results Buffer
let results_size = (1 + 16 + 16) * 4;
let results_buffer = device.create_buffer(&wgpu::BufferDescriptor {
label: Some("Results Buffer"),
size: results_size as u64,
usage: wgpu::BufferUsages::STORAGE
| wgpu::BufferUsages::COPY_SRC
| wgpu::BufferUsages::COPY_DST,
mapped_at_creation: false,
});
// Clear results buffer
let zeros = vec![0u8; results_size];
queue.write_buffer(&results_buffer, 0, &zeros);
// Dispatch config buffer: [total_threads, nonces_per_thread, total_nonces]
let dispatch_config_data: [u32; 3] = [256, 1, 256];
let dispatch_config_buffer = device.create_buffer(&wgpu::BufferDescriptor {
label: Some("Dispatch Config Buffer"),
size: 12,
usage: wgpu::BufferUsages::STORAGE | wgpu::BufferUsages::COPY_DST,
mapped_at_creation: false,
});
queue.write_buffer(
&dispatch_config_buffer,
0,
bytemuck::cast_slice(&dispatch_config_data),
);
let shader = device.create_shader_module(wgpu::ShaderModuleDescriptor {
label: Some("Mining Shader"),
source: wgpu::ShaderSource::Wgsl(shader_src.into()),
});
let pipeline = device.create_compute_pipeline(&wgpu::ComputePipelineDescriptor {
label: Some("Mining Pipeline"),
layout: None,
module: &shader,
entry_point: Some("mining_main"),
compilation_options: Default::default(),
cache: None,
});
let bind_group_layout = pipeline.get_bind_group_layout(0);
let bind_group = device.create_bind_group(&wgpu::BindGroupDescriptor {
label: Some("Mining Bind Group"),
layout: &bind_group_layout,
entries: &[
wgpu::BindGroupEntry {
binding: 0,
resource: results_buffer.as_entire_binding(),
},
wgpu::BindGroupEntry {
binding: 1,
resource: midstate_buffer.as_entire_binding(),
},
wgpu::BindGroupEntry {
binding: 2,
resource: start_nonce_buffer.as_entire_binding(),
},
wgpu::BindGroupEntry {
binding: 3,
resource: target_buffer.as_entire_binding(),
},
wgpu::BindGroupEntry {
binding: 4,
resource: dispatch_config_buffer.as_entire_binding(),
},
],
});
// Run Compute Pass
let mut encoder = device.create_command_encoder(&wgpu::CommandEncoderDescriptor {
label: Some("Mining Encoder"),
});
{
let mut cpass = encoder.begin_compute_pass(&wgpu::ComputePassDescriptor {
label: Some("Mining Compute Pass"),
timestamp_writes: None,
});
cpass.set_pipeline(&pipeline);
cpass.set_bind_group(0, &bind_group, &[]);
cpass.dispatch_workgroups(1, 1, 1); // 1 workgroup, 256 threads. Thread 0 will check nonce_val.
}
// Read Results
let staging_buffer = device.create_buffer(&wgpu::BufferDescriptor {
label: Some("Staging Buffer"),
size: results_size as u64,
usage: wgpu::BufferUsages::MAP_READ | wgpu::BufferUsages::COPY_DST,
mapped_at_creation: false,
});
encoder.copy_buffer_to_buffer(&results_buffer, 0, &staging_buffer, 0, results_size as u64);
queue.submit(Some(encoder.finish()));
let buffer_slice = staging_buffer.slice(..);
let (sender, receiver) = futures::channel::oneshot::channel();
buffer_slice.map_async(wgpu::MapMode::Read, move |v| sender.send(v).unwrap());
device
.poll(wgpu::PollType::Wait {
submission_index: None,
timeout: None,
})
.unwrap();
if let Ok(Ok(())) = receiver.await {
let data = buffer_slice.get_mapped_range();
let result_u32s: &[u32] = bytemuck::cast_slice(&data);
if result_u32s[0] != 0 {
println!("GPU found solution!");
// Parse nonce
let mut nonce_bytes = [0u8; 64];
for i in 0..16 {
let bytes = result_u32s[1 + i].to_le_bytes();
nonce_bytes[i * 4..(i + 1) * 4].copy_from_slice(&bytes);
}
let found_nonce = U512::from_little_endian(&nonce_bytes);
println!("GPU Nonce: {}", found_nonce);
// Parse hash from GPU result
let mut hash_bytes = [0u8; 64];
for i in 0..16 {
let bytes = result_u32s[17 + i].to_le_bytes();
hash_bytes[i * 4..(i + 1) * 4].copy_from_slice(&bytes);
}
let gpu_hash = U512::from_little_endian(&hash_bytes);
println!("GPU Hash: {:x}", gpu_hash);
// Verify: compute hash on CPU for the found nonce and compare
let cpu_verified_hash = hash_from_nonce(&ctx, found_nonce);
println!("CPU verified hash: {:x}", cpu_verified_hash);
assert_eq!(
gpu_hash, cpu_verified_hash,
"GPU hash doesn't match CPU verification for the found nonce!"
);
// Verify hash is below target (should always pass with difficulty 1)
assert!(gpu_hash <= ctx.target, "Hash is not below target!");
println!("✅ End-to-End Test Passed!");
} else {
println!("❌ GPU did not find solution (should have passed with MAX target)");
return Err("GPU did not find solution".into());
}
} else {
return Err("Failed to map buffer".into());
}
Ok(())
}
+748
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//! GPU tier detection using regex patterns
//!
//! This module provides a table-driven approach to GPU detection,
//! using regex patterns with word boundaries to avoid substring matching issues.
use regex::Regex;
use std::sync::LazyLock;
/// GPU tier configuration
struct GpuTier {
/// Regex pattern to match GPU name (case-insensitive)
pattern: &'static str,
/// Human-readable tier name
name: &'static str,
/// Divisor for max_workgroups (higher = more conservative)
workgroup_divisor: u32,
/// Minimum workgroups to use
min_workgroups: u32,
}
/// Compiled GPU tier with regex
struct CompiledGpuTier {
regex: Regex,
name: &'static str,
workgroup_divisor: u32,
min_workgroups: u32,
}
impl CompiledGpuTier {
fn from_tier(tier: &GpuTier) -> Self {
Self {
regex: Regex::new(&format!("(?i){}", tier.pattern)).expect("Invalid GPU tier regex"),
name: tier.name,
workgroup_divisor: tier.workgroup_divisor,
min_workgroups: tier.min_workgroups,
}
}
}
// GPU tiers are checked in order - first match wins
// Use word boundaries (\b) to avoid substring issues like "550" matching "5500"
const NVIDIA_TIERS: &[GpuTier] = &[
// Blackwell (RTX 50 series)
GpuTier {
pattern: r"\b50[89]0\b",
name: "NVIDIA RTX 50 Flagship (Blackwell)",
workgroup_divisor: 6,
min_workgroups: 5120,
},
GpuTier {
pattern: r"\b50[67]0\b|rtx 50",
name: "NVIDIA RTX 50 (Blackwell)",
workgroup_divisor: 7,
min_workgroups: 4608,
},
// Ada Lovelace (RTX 40 series)
GpuTier {
pattern: r"\b40[89]0\b",
name: "NVIDIA RTX 40 Flagship (Ada)",
workgroup_divisor: 8,
min_workgroups: 4096,
},
GpuTier {
pattern: r"\b40[67]0\b|rtx 40",
name: "NVIDIA RTX 40 (Ada)",
workgroup_divisor: 10,
min_workgroups: 3072,
},
// Ampere/Turing (RTX 30/20 series)
GpuTier {
pattern: r"\b30[5-9]0\b|\b20[6-8]0\b|rtx 30|rtx 20",
name: "NVIDIA RTX 30/20 (Ampere/Turing)",
workgroup_divisor: 12,
min_workgroups: 2048,
},
// Turing/Pascal (GTX 16/10 series)
GpuTier {
pattern: r"\b16[56]0\b|\b10[3-8]0\b|gtx 16|gtx 10",
name: "NVIDIA GTX 16/10 (Turing/Pascal)",
workgroup_divisor: 16,
min_workgroups: 1024,
},
// Maxwell (GTX 900 series)
GpuTier {
pattern: r"\b9[5-8]0\b|gtx 9",
name: "NVIDIA GTX 900 (Maxwell)",
workgroup_divisor: 18,
min_workgroups: 768,
},
// Kepler/Maxwell (GTX 700 series)
GpuTier {
pattern: r"\b7[5-8]0\b|gtx 7",
name: "NVIDIA GTX 700 (Kepler/Maxwell)",
workgroup_divisor: 20,
min_workgroups: 512,
},
// Legacy GTX
GpuTier {
pattern: r"gtx [456]",
name: "NVIDIA GTX Legacy (Fermi/Kepler)",
workgroup_divisor: 24,
min_workgroups: 384,
},
GpuTier {
pattern: r"\bgtx\b",
name: "NVIDIA GTX (Unknown)",
workgroup_divisor: 20,
min_workgroups: 512,
},
// Mobile
GpuTier {
pattern: r"\bmx[1-5]\d0|geforce mx",
name: "NVIDIA MX (Mobile)",
workgroup_divisor: 24,
min_workgroups: 384,
},
GpuTier {
pattern: r"geforce gt\b|\bgt \d{3}\b",
name: "NVIDIA GT (Entry-Level)",
workgroup_divisor: 28,
min_workgroups: 256,
},
// Professional
GpuTier {
pattern: r"quadro|rtx a\d|tesla|\ba100\b|\bh100\b|\bl4\b",
name: "NVIDIA Quadro/Professional",
workgroup_divisor: 10,
min_workgroups: 2560,
},
];
const AMD_TIERS: &[GpuTier] = &[
// RDNA 4 (RX 9000 series)
GpuTier {
pattern: r"rx 9|\b90[78]0\b",
name: "AMD RX 9000 (RDNA 4)",
workgroup_divisor: 8,
min_workgroups: 4096,
},
// RDNA 3 Discrete
GpuTier {
pattern: r"\b7900\b",
name: "AMD RX 7900 (RDNA 3 Flagship)",
workgroup_divisor: 9,
min_workgroups: 3584,
},
GpuTier {
pattern: r"rx 7|\b7[6-8]00\b",
name: "AMD RX 7000 (RDNA 3)",
workgroup_divisor: 10,
min_workgroups: 3072,
},
// RDNA 3 APUs - check before discrete to avoid substring match
GpuTier {
pattern: r"\b780m\b|radeon 780m",
name: "AMD Radeon 780M (RDNA 3 APU)",
workgroup_divisor: 12,
min_workgroups: 2048,
},
GpuTier {
pattern: r"\b7[46]0m\b|radeon 7[46]0m",
name: "AMD Radeon 7x0M (RDNA 3 APU)",
workgroup_divisor: 16,
min_workgroups: 1024,
},
// RDNA 2 Discrete
GpuTier {
pattern: r"\b6[89][05]0\b",
name: "AMD RX 6900/6800 (RDNA 2 Flagship)",
workgroup_divisor: 12,
min_workgroups: 2560,
},
GpuTier {
pattern: r"\b6[67][05]0\b",
name: "AMD RX 6700/6600 (RDNA 2)",
workgroup_divisor: 14,
min_workgroups: 2048,
},
GpuTier {
pattern: r"\b6[45]00\b",
name: "AMD RX 6500/6400 (RDNA 2 Entry)",
workgroup_divisor: 22,
min_workgroups: 512,
},
GpuTier {
pattern: r"rx 6\d{3}",
name: "AMD RX 6000 (RDNA 2)",
workgroup_divisor: 14,
min_workgroups: 2048,
},
// RDNA 2 APUs - check before discrete
GpuTier {
pattern: r"\b680m\b|radeon 680m",
name: "AMD Radeon 680M (RDNA 2 APU)",
workgroup_divisor: 16,
min_workgroups: 1536,
},
GpuTier {
pattern: r"\b6[16]0m\b|radeon 6[16]0m",
name: "AMD Radeon 6x0M (RDNA 2 APU)",
workgroup_divisor: 22,
min_workgroups: 768,
},
// RDNA 1 (RX 5000 series) - 4-digit patterns to avoid matching Polaris 3-digit
GpuTier {
pattern: r"\b5700\b",
name: "AMD RX 5700 (RDNA 1)",
workgroup_divisor: 16,
min_workgroups: 1536,
},
GpuTier {
pattern: r"\b5[56]00\b|rx 5\d{3}",
name: "AMD RX 5000 (RDNA 1)",
workgroup_divisor: 18,
min_workgroups: 1024,
},
// Polaris (RX 400/500 series) - 3-digit models with boundaries
GpuTier {
pattern: r"rx [45]\d0\b|\b[45][6-9]0\b|\b590\b|rx 5.0x",
name: "AMD RX 500/400 (Polaris)",
workgroup_divisor: 20,
min_workgroups: 768,
},
// Vega
GpuTier {
pattern: r"radeon vii\b",
name: "AMD Radeon VII (Vega 20)",
workgroup_divisor: 12,
min_workgroups: 2048,
},
GpuTier {
pattern: r"vega\s*64",
name: "AMD Vega 64 (Discrete)",
workgroup_divisor: 14,
min_workgroups: 1536,
},
GpuTier {
pattern: r"vega\s*56",
name: "AMD Vega 56 (Discrete)",
workgroup_divisor: 16,
min_workgroups: 1280,
},
GpuTier {
pattern: r"vega",
name: "AMD Vega (APU)",
workgroup_divisor: 28,
min_workgroups: 384,
},
// GCN
GpuTier {
pattern: r"fury|nano",
name: "AMD R9 Fury/Nano (Fiji)",
workgroup_divisor: 16,
min_workgroups: 1280,
},
GpuTier {
pattern: r"r9.*(3[89]0|2[89]0)|\b[23][89]0x?\b",
name: "AMD R9 (GCN)",
workgroup_divisor: 20,
min_workgroups: 768,
},
GpuTier {
pattern: r"r7.*(3[67]0|2[67]0)|\b[23][67]0x?\b",
name: "AMD R7 (GCN)",
workgroup_divisor: 22,
min_workgroups: 512,
},
// Professional
GpuTier {
pattern: r"radeon pro|instinct mi|mi[123]\d0|firepro|w[567]\d{3}",
name: "AMD Radeon Pro/Instinct",
workgroup_divisor: 10,
min_workgroups: 2560,
},
// OEM/APU fallbacks
GpuTier {
pattern: r"radeon\s*\(tm\)\s*[67]\d{2}\b|radeon [67]\d{2}\b",
name: "AMD Radeon OEM (Polaris Rebrand)",
workgroup_divisor: 24,
min_workgroups: 512,
},
GpuTier {
pattern: r"radeon\s*(\(tm\)\s*)?graphics",
name: "AMD Radeon Graphics (APU)",
workgroup_divisor: 26,
min_workgroups: 384,
},
];
const INTEL_TIERS: &[GpuTier] = &[
// Battlemage (Arc B-Series)
GpuTier {
pattern: r"arc b|\bb5[78]0\b",
name: "Intel Arc B-Series (Battlemage)",
workgroup_divisor: 10,
min_workgroups: 2560,
},
// Alchemist Mobile - check BEFORE desktop (a770m contains a770)
GpuTier {
pattern: r"\ba7[37]0m\b",
name: "Intel Arc A7 Mobile (Alchemist)",
workgroup_divisor: 14,
min_workgroups: 1536,
},
GpuTier {
pattern: r"\ba5[57]0m\b",
name: "Intel Arc A5 Mobile (Alchemist)",
workgroup_divisor: 16,
min_workgroups: 1024,
},
GpuTier {
pattern: r"\ba3[57]0m\b",
name: "Intel Arc A3 Mobile (Alchemist)",
workgroup_divisor: 20,
min_workgroups: 512,
},
// Alchemist Desktop
GpuTier {
pattern: r"\ba7[57]0\b",
name: "Intel Arc A7 (Alchemist)",
workgroup_divisor: 12,
min_workgroups: 2048,
},
GpuTier {
pattern: r"\ba580\b",
name: "Intel Arc A5 (Alchemist)",
workgroup_divisor: 14,
min_workgroups: 1536,
},
GpuTier {
pattern: r"\ba3[18]0\b",
name: "Intel Arc A3 (Alchemist)",
workgroup_divisor: 18,
min_workgroups: 768,
},
GpuTier {
pattern: r"arc a|\barc\b",
name: "Intel Arc (Unknown)",
workgroup_divisor: 16,
min_workgroups: 1024,
},
// Integrated
GpuTier {
pattern: r"iris xe max",
name: "Intel Iris Xe Max (Discrete)",
workgroup_divisor: 20,
min_workgroups: 512,
},
GpuTier {
pattern: r"iris xe",
name: "Intel Iris Xe (Integrated)",
workgroup_divisor: 24,
min_workgroups: 384,
},
GpuTier {
pattern: r"iris pro",
name: "Intel Iris Pro (Integrated)",
workgroup_divisor: 26,
min_workgroups: 256,
},
GpuTier {
pattern: r"iris plus|iris\b",
name: "Intel Iris Plus (Integrated)",
workgroup_divisor: 26,
min_workgroups: 320,
},
GpuTier {
pattern: r"uhd.*(7\d{2}|graphics 7)",
name: "Intel UHD 700 (Integrated)",
workgroup_divisor: 26,
min_workgroups: 320,
},
GpuTier {
pattern: r"uhd.*(6\d{2}|graphics 6)",
name: "Intel UHD 600 (Integrated)",
workgroup_divisor: 28,
min_workgroups: 256,
},
GpuTier {
pattern: r"uhd",
name: "Intel UHD Graphics (Integrated)",
workgroup_divisor: 28,
min_workgroups: 256,
},
GpuTier {
pattern: r"hd graphics|hd [456]\d{2}",
name: "Intel HD Graphics (Integrated)",
workgroup_divisor: 30,
min_workgroups: 192,
},
];
const QUALCOMM_TIERS: &[GpuTier] = &[
// Snapdragon X (Adreno X1)
GpuTier {
pattern: r"x elite|x plus|adreno x|x1-[89]",
name: "Qualcomm Adreno X1 (Snapdragon X)",
workgroup_divisor: 14,
min_workgroups: 1536,
},
// Adreno 700 series (730, 740, 750, etc.)
GpuTier {
pattern: r"adreno\s*7[0-9]{2}\b|\b7[345]0\b",
name: "Qualcomm Adreno 700 Series",
workgroup_divisor: 16,
min_workgroups: 1024,
},
// Adreno 600 series (610, 612, 615, 618, 619, 620, 630, 640, 650, 660, etc.)
GpuTier {
pattern: r"adreno\s*6[0-9]{2}\b|\b6[1-6][0-9]\b",
name: "Qualcomm Adreno 600 Series",
workgroup_divisor: 20,
min_workgroups: 512,
},
// Adreno 500 series (505, 506, 508, 509, 510, 512, 530, 540)
GpuTier {
pattern: r"adreno\s*5[0-4][0-9]\b|\b5[0-4][0-9]\b",
name: "Qualcomm Adreno 500 Series",
workgroup_divisor: 24,
min_workgroups: 384,
},
];
const APPLE_TIERS: &[GpuTier] = &[
// M5 series
GpuTier {
pattern: r"m5 ultra",
name: "Apple M5 Ultra",
workgroup_divisor: 4,
min_workgroups: 1600,
},
GpuTier {
pattern: r"m5 max",
name: "Apple M5 Max",
workgroup_divisor: 4,
min_workgroups: 800,
},
GpuTier {
pattern: r"m5 pro",
name: "Apple M5 Pro",
workgroup_divisor: 4,
min_workgroups: 400,
},
GpuTier {
pattern: r"\bm5\b",
name: "Apple M5",
workgroup_divisor: 4,
min_workgroups: 200,
},
// M4 series
GpuTier {
pattern: r"m4 ultra",
name: "Apple M4 Ultra",
workgroup_divisor: 4,
min_workgroups: 1600,
},
GpuTier {
pattern: r"m4 max",
name: "Apple M4 Max",
workgroup_divisor: 4,
min_workgroups: 800,
},
GpuTier {
pattern: r"m4 pro",
name: "Apple M4 Pro",
workgroup_divisor: 4,
min_workgroups: 400,
},
GpuTier {
pattern: r"\bm4\b",
name: "Apple M4",
workgroup_divisor: 4,
min_workgroups: 200,
},
// M3 series
GpuTier {
pattern: r"m3 ultra",
name: "Apple M3 Ultra",
workgroup_divisor: 4,
min_workgroups: 1520,
},
GpuTier {
pattern: r"m3 max",
name: "Apple M3 Max",
workgroup_divisor: 4,
min_workgroups: 800,
},
GpuTier {
pattern: r"m3 pro",
name: "Apple M3 Pro",
workgroup_divisor: 4,
min_workgroups: 360,
},
GpuTier {
pattern: r"\bm3\b",
name: "Apple M3",
workgroup_divisor: 4,
min_workgroups: 200,
},
// M2 series
GpuTier {
pattern: r"m2 ultra",
name: "Apple M2 Ultra",
workgroup_divisor: 4,
min_workgroups: 1520,
},
GpuTier {
pattern: r"m2 max",
name: "Apple M2 Max",
workgroup_divisor: 4,
min_workgroups: 760,
},
GpuTier {
pattern: r"m2 pro",
name: "Apple M2 Pro",
workgroup_divisor: 4,
min_workgroups: 380,
},
GpuTier {
pattern: r"\bm2\b",
name: "Apple M2",
workgroup_divisor: 4,
min_workgroups: 200,
},
// M1 series
GpuTier {
pattern: r"m1 ultra",
name: "Apple M1 Ultra",
workgroup_divisor: 4,
min_workgroups: 1280,
},
GpuTier {
pattern: r"m1 max",
name: "Apple M1 Max",
workgroup_divisor: 4,
min_workgroups: 640,
},
GpuTier {
pattern: r"m1 pro",
name: "Apple M1 Pro",
workgroup_divisor: 4,
min_workgroups: 320,
},
GpuTier {
pattern: r"\bm1\b",
name: "Apple M1",
workgroup_divisor: 4,
min_workgroups: 160,
},
];
/// Compiled GPU tier tables (lazily initialized)
struct GpuTierTables {
nvidia: Vec<CompiledGpuTier>,
amd: Vec<CompiledGpuTier>,
intel: Vec<CompiledGpuTier>,
qualcomm: Vec<CompiledGpuTier>,
apple: Vec<CompiledGpuTier>,
}
static GPU_TIERS: LazyLock<GpuTierTables> = LazyLock::new(|| GpuTierTables {
nvidia: NVIDIA_TIERS
.iter()
.map(CompiledGpuTier::from_tier)
.collect(),
amd: AMD_TIERS.iter().map(CompiledGpuTier::from_tier).collect(),
intel: INTEL_TIERS.iter().map(CompiledGpuTier::from_tier).collect(),
qualcomm: QUALCOMM_TIERS
.iter()
.map(CompiledGpuTier::from_tier)
.collect(),
apple: APPLE_TIERS.iter().map(CompiledGpuTier::from_tier).collect(),
});
/// Result of GPU tier matching
pub struct GpuTierMatch {
pub name: &'static str,
pub workgroup_divisor: u32,
pub min_workgroups: u32,
pub is_fallback: bool,
}
/// Find matching tier from a list of compiled tiers
fn find_matching_tier(name: &str, tiers: &[CompiledGpuTier]) -> Option<GpuTierMatch> {
tiers
.iter()
.find(|tier| tier.regex.is_match(name))
.map(|tier| GpuTierMatch {
name: tier.name,
workgroup_divisor: tier.workgroup_divisor,
min_workgroups: tier.min_workgroups,
is_fallback: false,
})
}
/// Detect GPU tier based on adapter info
///
/// Returns (tier_name, workgroup_divisor, min_workgroups, is_fallback)
pub fn detect_gpu_tier(vendor_name: &str, vendor_id: u32, is_metal_backend: bool) -> GpuTierMatch {
let name_lower = vendor_name.to_lowercase();
// Determine vendor and find matching tier
if name_lower.contains("nvidia") || vendor_id == 0x10DE {
find_matching_tier(&name_lower, &GPU_TIERS.nvidia).unwrap_or(GpuTierMatch {
name: "NVIDIA Unknown",
workgroup_divisor: 20,
min_workgroups: 512,
is_fallback: true,
})
} else if name_lower.contains("amd") || name_lower.contains("radeon") || vendor_id == 0x1002 {
find_matching_tier(&name_lower, &GPU_TIERS.amd).unwrap_or(GpuTierMatch {
name: "AMD Unknown",
workgroup_divisor: 24,
min_workgroups: 512,
is_fallback: true,
})
} else if name_lower.contains("intel") || vendor_id == 0x8086 {
find_matching_tier(&name_lower, &GPU_TIERS.intel).unwrap_or(GpuTierMatch {
name: "Intel Unknown",
workgroup_divisor: 24,
min_workgroups: 256,
is_fallback: true,
})
} else if name_lower.contains("qualcomm")
|| name_lower.contains("adreno")
|| vendor_id == 0x5143
{
find_matching_tier(&name_lower, &GPU_TIERS.qualcomm).unwrap_or(GpuTierMatch {
name: "Qualcomm Adreno (Unknown)",
workgroup_divisor: 24,
min_workgroups: 384,
is_fallback: true,
})
} else if is_metal_backend {
// Apple Silicon - detected by Metal backend
find_matching_tier(&name_lower, &GPU_TIERS.apple).unwrap_or(GpuTierMatch {
name: "Apple Silicon Unknown",
workgroup_divisor: 4,
min_workgroups: 160,
is_fallback: true,
})
} else {
GpuTierMatch {
name: "Unknown GPU",
workgroup_divisor: 16,
min_workgroups: 512,
is_fallback: true,
}
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_nvidia_detection() {
// RTX 40 series
let tier = detect_gpu_tier("NVIDIA GeForce RTX 4090", 0x10DE, false);
assert_eq!(tier.name, "NVIDIA RTX 40 Flagship (Ada)");
assert!(!tier.is_fallback);
let tier = detect_gpu_tier("NVIDIA GeForce RTX 4070 Ti", 0x10DE, false);
assert_eq!(tier.name, "NVIDIA RTX 40 (Ada)");
// RTX 30 series
let tier = detect_gpu_tier("NVIDIA GeForce RTX 3080", 0x10DE, false);
assert_eq!(tier.name, "NVIDIA RTX 30/20 (Ampere/Turing)");
// GTX 10 series
let tier = detect_gpu_tier("NVIDIA GeForce GTX 1080 Ti", 0x10DE, false);
assert_eq!(tier.name, "NVIDIA GTX 16/10 (Turing/Pascal)");
}
#[test]
fn test_amd_rdna_vs_polaris() {
// RDNA 1 - should NOT match Polaris
let tier = detect_gpu_tier("AMD Radeon RX 5500 XT", 0x1002, false);
assert_eq!(tier.name, "AMD RX 5000 (RDNA 1)");
assert!(!tier.is_fallback);
let tier = detect_gpu_tier("AMD Radeon RX 5600 XT", 0x1002, false);
assert_eq!(tier.name, "AMD RX 5000 (RDNA 1)");
let tier = detect_gpu_tier("AMD Radeon RX 5700 XT", 0x1002, false);
assert_eq!(tier.name, "AMD RX 5700 (RDNA 1)");
// Polaris - should match Polaris
let tier = detect_gpu_tier("AMD Radeon RX 580", 0x1002, false);
assert_eq!(tier.name, "AMD RX 500/400 (Polaris)");
let tier = detect_gpu_tier("AMD Radeon RX 560X", 0x1002, false);
assert_eq!(tier.name, "AMD RX 500/400 (Polaris)");
let tier = detect_gpu_tier("AMD Radeon RX 550", 0x1002, false);
assert_eq!(tier.name, "AMD RX 500/400 (Polaris)");
}
#[test]
fn test_amd_vega_apu() {
let tier = detect_gpu_tier("AMD Radeon(TM) Vega 8 Graphics", 0x1002, false);
assert_eq!(tier.name, "AMD Vega (APU)");
assert!(!tier.is_fallback);
}
#[test]
fn test_intel_arc_mobile_vs_desktop() {
// Mobile should match mobile tier
let tier = detect_gpu_tier("Intel Arc A770M", 0x8086, false);
assert_eq!(tier.name, "Intel Arc A7 Mobile (Alchemist)");
assert!(!tier.is_fallback);
// Desktop should match desktop tier
let tier = detect_gpu_tier("Intel Arc A770", 0x8086, false);
assert_eq!(tier.name, "Intel Arc A7 (Alchemist)");
assert!(!tier.is_fallback);
}
#[test]
fn test_apple_silicon() {
let tier = detect_gpu_tier("Apple M1 Pro", 0, true);
assert_eq!(tier.name, "Apple M1 Pro");
assert!(!tier.is_fallback);
let tier = detect_gpu_tier("Apple M3 Max", 0, true);
assert_eq!(tier.name, "Apple M3 Max");
assert!(!tier.is_fallback);
}
#[test]
fn test_qualcomm_adreno_series() {
// Adreno 627 should match 600 series, NOT 700 series
let tier = detect_gpu_tier("Qualcomm Adreno 627", 0x5143, false);
assert_eq!(tier.name, "Qualcomm Adreno 600 Series");
assert!(!tier.is_fallback);
// Adreno 730 should match 700 series
let tier = detect_gpu_tier("Qualcomm Adreno 730", 0x5143, false);
assert_eq!(tier.name, "Qualcomm Adreno 700 Series");
assert!(!tier.is_fallback);
// Adreno 540 should match 500 series
let tier = detect_gpu_tier("Qualcomm Adreno 540", 0x5143, false);
assert_eq!(tier.name, "Qualcomm Adreno 500 Series");
assert!(!tier.is_fallback);
}
}
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// Quantus Mining Shader - WGSL Compute Shader for GPU Mining
// Implements Poseidon2 hash function over Goldilocks field
// Goldilocks field constants: p = 2^64 - 2^32 + 1 = 18446744069414584321
// Since WGSL doesn't support 64-bit literals, we work with 32-bit chunks
// p = 0xFFFFFFFF00000001 = [0x00000001, 0xFFFFFFFF] in little-endian u32 pairs
const GOLDILOCKS_PRIME_LOW: u32 = 1u; // Low 32 bits
const GOLDILOCKS_PRIME_HIGH: u32 = 4294967295u; // High 32 bits (2^32 - 1)
// Poseidon2 constants
const WIDTH: u32 = 12u;
const RATE: u32 = 8u;
const EXTERNAL_ROUNDS: u32 = 4u;
const INTERNAL_ROUNDS: u32 = 22u;
// Individual constants for testing
const INTERNAL_CONST_0_LOW: u32 = 2018170979u;
const INTERNAL_CONST_0_HIGH: u32 = 2549578122u;
const INTERNAL_CONST_1_LOW: u32 = 794875120u;
const INTERNAL_CONST_1_HIGH: u32 = 3520249608u;
// Real Poseidon2 constants extracted from qp-poseidon-constants
// Internal round constants (22 values)
const INTERNAL_CONSTANTS: array<array<u32, 2>, 22> = array<array<u32, 2>, 22>(
array<u32, 2>(2018170979u, 2549578122u),
array<u32, 2>(794875120u, 3520249608u),
array<u32, 2>(2677723654u, 1772320679u),
array<u32, 2>(2743438884u, 2849007878u),
array<u32, 2>(518907317u, 693269760u),
array<u32, 2>(293328710u, 1484055617u),
array<u32, 2>(2834138828u, 2315799483u),
array<u32, 2>(1558078501u, 1039128420u),
array<u32, 2>(2266808631u, 966316006u),
array<u32, 2>(3393728842u, 1045622667u),
array<u32, 2>(2245828300u, 2521440415u),
array<u32, 2>(751064958u, 1070374632u),
array<u32, 2>(3490278765u, 2390340773u),
array<u32, 2>(3526960470u, 2224174634u),
array<u32, 2>(639988950u, 4000511088u),
array<u32, 2>(1839350858u, 504240201u),
array<u32, 2>(559852230u, 255489215u),
array<u32, 2>(2713771731u, 453385078u),
array<u32, 2>(1745082278u, 422331096u),
array<u32, 2>(2544763488u, 4141129721u),
array<u32, 2>(2700752774u, 1052996327u),
array<u32, 2>(4063512019u, 1429786100u)
);
// Initial external round constants (4 rounds x 12 elements)
const INITIAL_EXTERNAL_CONSTANTS: array<array<array<u32, 2>, 12>, 4> = array<array<array<u32, 2>, 12>, 4>(
array<array<u32, 2>, 12>(
array<u32, 2>(2539329031u, 3221415792u),
array<u32, 2>(4262746426u, 3164936845u),
array<u32, 2>(3883202553u, 1922272763u),
array<u32, 2>(3761386668u, 3841130025u),
array<u32, 2>(1411081289u, 3588274735u),
array<u32, 2>(4090250945u, 3962812520u),
array<u32, 2>(1100826458u, 1215155029u),
array<u32, 2>(1489773809u, 1813820067u),
array<u32, 2>(2585015995u, 3824356688u),
array<u32, 2>(2378857513u, 3651555078u),
array<u32, 2>(2864423342u, 3852156759u),
array<u32, 2>(1531416540u, 708695120u)
),
array<array<u32, 2>, 12>(
array<u32, 2>(1987505445u, 2913073372u),
array<u32, 2>(1426707734u, 655469195u),
array<u32, 2>(3385403543u, 1256631504u),
array<u32, 2>(1381422714u, 1458257259u),
array<u32, 2>(2453402910u, 528129365u),
array<u32, 2>(964329320u, 905986685u),
array<u32, 2>(1534247888u, 3842469367u),
array<u32, 2>(744525997u, 4241857185u),
array<u32, 2>(1756723870u, 3448331916u),
array<u32, 2>(3610291774u, 1105166073u),
array<u32, 2>(2596181885u, 3997051784u),
array<u32, 2>(3199845381u, 3533420525u)
),
array<array<u32, 2>, 12>(
array<u32, 2>(4127777666u, 2103183598u),
array<u32, 2>(2867888172u, 2309916828u),
array<u32, 2>(1831532055u, 3009056407u),
array<u32, 2>(2947502451u, 3675530062u),
array<u32, 2>(3565886616u, 2029012066u),
array<u32, 2>(3833391242u, 642945968u),
array<u32, 2>(1773785903u, 2577032347u),
array<u32, 2>(1770914259u, 1689297286u),
array<u32, 2>(3752758200u, 3993707216u),
array<u32, 2>(3389302766u, 1339375184u),
array<u32, 2>(2180141127u, 1466089441u),
array<u32, 2>(3199591357u, 4111832034u)
),
array<array<u32, 2>, 12>(
array<u32, 2>(1625498743u, 509487959u),
array<u32, 2>(4188712685u, 1646551713u),
array<u32, 2>(3451003566u, 2854767422u),
array<u32, 2>(1412166652u, 1674110767u),
array<u32, 2>(3410212320u, 1000704202u),
array<u32, 2>(3381743837u, 602777331u),
array<u32, 2>(3131873882u, 2866003620u),
array<u32, 2>(2610174026u, 3923414377u),
array<u32, 2>(3644719692u, 3450945356u),
array<u32, 2>(1458984419u, 2418851081u),
array<u32, 2>(3344519983u, 1531855103u),
array<u32, 2>(2721413879u, 3732495392u)
)
);
// Terminal external round constants (4 rounds x 12 elements)
const TERMINAL_EXTERNAL_CONSTANTS: array<array<array<u32, 2>, 12>, 4> = array<array<array<u32, 2>, 12>, 4>(
array<array<u32, 2>, 12>(
array<u32, 2>(3773451374u, 2071119161u),
array<u32, 2>(3805190518u, 340095962u),
array<u32, 2>(2402679944u, 2149591222u),
array<u32, 2>(743434178u, 1832305922u),
array<u32, 2>(2847530739u, 2718290175u),
array<u32, 2>(514243119u, 4142392203u),
array<u32, 2>(3844443492u, 888639642u),
array<u32, 2>(2008645578u, 2957397405u),
array<u32, 2>(3732799654u, 1692252629u),
array<u32, 2>(664231319u, 248567644u),
array<u32, 2>(287781771u, 482031345u),
array<u32, 2>(3486561978u, 1718871301u)
),
array<array<u32, 2>, 12>(
array<u32, 2>(814165505u, 1616875560u),
array<u32, 2>(2123759183u, 1070984082u),
array<u32, 2>(2722916813u, 3893372341u),
array<u32, 2>(3726899022u, 4157656693u),
array<u32, 2>(2824360073u, 4086907574u),
array<u32, 2>(4155973110u, 1837140488u),
array<u32, 2>(2297731723u, 4169165669u),
array<u32, 2>(707924090u, 1474243980u),
array<u32, 2>(1298483757u, 384287239u),
array<u32, 2>(4243798069u, 557703745u),
array<u32, 2>(1510569718u, 2968696976u),
array<u32, 2>(3174388759u, 3638808363u)
),
array<array<u32, 2>, 12>(
array<u32, 2>(2044277519u, 3835193622u),
array<u32, 2>(2743212840u, 1983595986u),
array<u32, 2>(3943309069u, 151568229u),
array<u32, 2>(424355060u, 1989274413u),
array<u32, 2>(867046322u, 239293714u),
array<u32, 2>(4230997871u, 2479068123u),
array<u32, 2>(1565052394u, 2566260552u),
array<u32, 2>(815274432u, 3822673712u),
array<u32, 2>(1051683535u, 519405993u),
array<u32, 2>(2687564964u, 186958263u),
array<u32, 2>(1450226471u, 1648586942u),
array<u32, 2>(1511122054u, 1595811937u)
),
array<array<u32, 2>, 12>(
array<u32, 2>(2426274859u, 4261676319u),
array<u32, 2>(1207777283u, 1918363057u),
array<u32, 2>(3090099832u, 3870167883u),
array<u32, 2>(4101522705u, 1460796764u),
array<u32, 2>(201900220u, 4164567654u),
array<u32, 2>(2587682901u, 752404845u),
array<u32, 2>(2967564913u, 2100296475u),
array<u32, 2>(3404347409u, 2242778408u),
array<u32, 2>(3350048952u, 1386431957u),
array<u32, 2>(4093308564u, 1347177553u),
array<u32, 2>(2633812729u, 3169012324u),
array<u32, 2>(1727753673u, 3768793234u)
)
);
// Helper function to create GoldilocksField from constant array
fn gf_from_const(val: array<u32, 2>) -> GoldilocksField {
return gf_from_u64_parts(val[0], val[1]);
}
// MDS matrix constants for width 12 - circulant matrix first row
// MDS matrix diagonal for width 12 Goldilocks (from p3_goldilocks constants)
// Each element is stored as [low32, high32] pairs
const MDS_MATRIX_DIAG_12: array<array<u32, 2>, 12> = array<array<u32, 2>, 12>(
array<u32, 2>(0x23ba9300u, 0xc3b6c08eu), // 0xc3b6c08e23ba9300u
array<u32, 2>(0x4a324fb6u, 0xd84b5de9u), // 0xd84b5de94a324fb6u
array<u32, 2>(0x5b35b84fu, 0x0d0c371cu), // 0x0d0c371c5b35b84fu
array<u32, 2>(0xe7188037u, 0x7964f570u), // 0x7964f570e7188037u
array<u32, 2>(0xd996604bu, 0x5daf18bbu), // 0x5daf18bbd996604bu
array<u32, 2>(0xb9595257u, 0x6743bc47u), // 0x6743bc47b9595257u
array<u32, 2>(0x2c59bb70u, 0x5528b936u), // 0x5528b9362c59bb70u
array<u32, 2>(0x7127b68bu, 0xac45e25bu), // 0xac45e25b7127b68bu
array<u32, 2>(0xfbb606b5u, 0xa2077d7du), // 0xa2077d7dfbb606b5u
array<u32, 2>(0xaee378aeu, 0xf3faac6fu), // 0xf3faac6faee378aeu
array<u32, 2>(0x1545e883u, 0x0c6388b5u), // 0x0c6388b51545e883u
array<u32, 2>(0x44917b60u, 0xd27dbb69u) // 0xd27dbb6944917b60u
);
// Storage buffers
@group(0) @binding(0) var<storage, read_write> results: array<atomic<u32>>;
// Sponge state after absorbing header + high nonce half (12 felts as LE u32 pairs),
// precomputed on the host per batch. See pow_core::mining_midstate.
@group(0) @binding(1) var<storage, read> midstate: array<u32, 24>;
@group(0) @binding(2) var<storage, read> start_nonce: array<u32, 16>; // 64 bytes
@group(0) @binding(3) var<storage, read> difficulty_target: array<u32, 16>; // 64 bytes (U512 target)
@group(0) @binding(4) var<storage, read> dispatch_config: array<u32, 3>; // [total_threads, nonces_per_thread, total_nonces]
// Goldilocks field element represented as [limb0, limb1]
// where the value is limb0 + limb1*2^32
struct GoldilocksField {
limb0: u32,
limb1: u32,
}
// Field modulus P = 2^64 - 2^32 + 1 = 0xFFFFFFFF00000001
// In u32 limbs: P = [1, 0xFFFFFFFF]
const P_LIMB0: u32 = 1u;
const P_LIMB1: u32 = 0xFFFFFFFFu;
// EPSILON = 2^32 - 1 = 0x00000000FFFFFFFF
// In u32 limbs: EPSILON = [0xFFFFFFFF, 0]
const EPSILON_LIMB0: u32 = 0xFFFFFFFFu;
const EPSILON_LIMB1: u32 = 0u;
// Helper to create field elements
fn gf_from_limbs(l0: u32, l1: u32) -> GoldilocksField {
return GoldilocksField(l0, l1);
}
fn gf_zero() -> GoldilocksField {
return gf_from_limbs(0u, 0u);
}
fn gf_one() -> GoldilocksField {
return gf_from_limbs(1u, 0u);
}
fn gf_from_u32(val: u32) -> GoldilocksField {
return GoldilocksField(val, 0u);
}
// Convert a 64-bit value (as two u32s) to GoldilocksField
fn gf_from_u64_parts(low: u32, high: u32) -> GoldilocksField {
var result = GoldilocksField(low, high);
// Reduce if >= P
if (gf_compare(result, gf_from_limbs(P_LIMB0, P_LIMB1)) != 2u) {
result = gf_sub(result, gf_from_limbs(P_LIMB0, P_LIMB1));
}
return result;
}
// Addition with carry for u32 values
// Returns vec2<u32>(sum, carry)
fn u32_add_with_carry(a: u32, b: u32, carry_in: u32) -> vec2<u32> {
let sum1 = a + b;
let c1 = select(0u, 1u, sum1 < a);
let sum2 = sum1 + carry_in;
let c2 = select(0u, 1u, sum2 < sum1);
return vec2<u32>(sum2, c1 + c2);
}
// Subtraction with borrow for u32 values
// Returns vec2<u32>(diff, borrow)
fn u32_sub_with_borrow(a: u32, b: u32, borrow_in: u32) -> vec2<u32> {
let diff1 = a - b;
let b1 = select(0u, 1u, diff1 > a); // if a - b > a, then underflow happened (since b > 0)
// Wait, if a < b, a - b wraps around to a large number.
// e.g. 2 - 3 = 0xFFFFFFFF. 0xFFFFFFFF > 2. Correct.
let diff2 = diff1 - borrow_in;
let b2 = select(0u, 1u, diff2 > diff1);
return vec2<u32>(diff2, b1 + b2);
}
// Multiply two u32 values to get a u64 result (as vec2<u32>)
fn u32_mul_to_u64(a: u32, b: u32) -> vec2<u32> {
let a_lo = a & 0xFFFFu;
let a_hi = a >> 16u;
let b_lo = b & 0xFFFFu;
let b_hi = b >> 16u;
let p0 = a_lo * b_lo;
let p1 = a_hi * b_lo;
let p2 = a_lo * b_hi;
let p3 = a_hi * b_hi;
let sum_mid_part = p1 + p2;
let carry_mid = select(0u, 1u, sum_mid_part < p1);
let term_mid_lo = sum_mid_part << 16u;
let term_mid_hi = (sum_mid_part >> 16u) | (carry_mid << 16u);
let res_lo = p0 + term_mid_lo;
let carry_lo = select(0u, 1u, res_lo < p0);
let res_hi = p3 + term_mid_hi + carry_lo;
return vec2<u32>(res_lo, res_hi);
}
// Compare two GoldilocksField values
// Returns: 0 if a == b, 1 if a > b, 2 if a < b
fn gf_compare(a: GoldilocksField, b: GoldilocksField) -> u32 {
// Compare from most significant limb to least
if (a.limb1 != b.limb1) {
return select(2u, 1u, a.limb1 > b.limb1);
}
if (a.limb0 != b.limb0) {
return select(2u, 1u, a.limb0 > b.limb0);
}
return 0u; // Equal
}
// Goldilocks field addition
fn gf_add(a: GoldilocksField, b: GoldilocksField) -> GoldilocksField {
// Add limb by limb with carry propagation
let add0 = u32_add_with_carry(a.limb0, b.limb0, 0u);
let add1 = u32_add_with_carry(a.limb1, b.limb1, add0.y);
var result = GoldilocksField(add0.x, add1.x);
// Handle overflow: if carry out, we've computed a + b = result + 2^64
// In Goldilocks: 2^64 ≡ 2^32 - 1 (mod P)
if (add1.y != 0u) {
// Add EPSILON = 0xFFFFFFFF00000000 (Wait, EPSILON is 2^32 - 1)
// EPSILON = 0x00000000FFFFFFFF
// EPSILON_LIMB0 = 0xFFFFFFFF, EPSILON_LIMB1 = 0
let eps_add0 = u32_add_with_carry(result.limb0, EPSILON_LIMB0, 0u);
let eps_add1 = u32_add_with_carry(result.limb1, EPSILON_LIMB1, eps_add0.y);
result = GoldilocksField(eps_add0.x, eps_add1.x);
// If adding EPSILON caused another overflow, add EPSILON again
if (eps_add1.y != 0u) {
let eps2_add0 = u32_add_with_carry(result.limb0, EPSILON_LIMB0, 0u);
let eps2_add1 = u32_add_with_carry(result.limb1, EPSILON_LIMB1, eps2_add0.y);
result = GoldilocksField(eps2_add0.x, eps2_add1.x);
}
}
// Final reduction if result >= P
let p = gf_from_limbs(P_LIMB0, P_LIMB1);
if (gf_compare(result, p) != 2u) { // if result >= P
result = gf_sub_no_underflow(result, p);
}
return result;
}
// Helper for subtraction without underflow (assumes a >= b)
fn gf_sub_no_underflow(a: GoldilocksField, b: GoldilocksField) -> GoldilocksField {
let sub0 = u32_sub_with_borrow(a.limb0, b.limb0, 0u);
let sub1 = u32_sub_with_borrow(a.limb1, b.limb1, sub0.y);
return GoldilocksField(sub0.x, sub1.x);
}
// Goldilocks field subtraction
fn gf_sub(a: GoldilocksField, b: GoldilocksField) -> GoldilocksField {
// If a >= b, do direct subtraction
if (gf_compare(a, b) != 2u) {
return gf_sub_no_underflow(a, b);
}
// Otherwise: a < b, so compute a - b + P
let p = gf_from_limbs(P_LIMB0, P_LIMB1);
let a_plus_p = gf_add_no_reduction(a, p);
return gf_sub_no_underflow(a_plus_p, b);
}
// Addition without final modular reduction (used internally)
fn gf_add_no_reduction(a: GoldilocksField, b: GoldilocksField) -> GoldilocksField {
let add0 = u32_add_with_carry(a.limb0, b.limb0, 0u);
let add1 = u32_add_with_carry(a.limb1, b.limb1, add0.y);
return GoldilocksField(add0.x, add1.x);
}
// Simplified multiplication that handles carries more carefully
fn gf_mul_unreduced(a: GoldilocksField, b: GoldilocksField) -> array<u32, 4> {
// p0 = a0 * b0 (64 bits)
let p0 = u32_mul_to_u64(a.limb0, b.limb0);
// p1 = a0 * b1 (64 bits)
let p1 = u32_mul_to_u64(a.limb0, b.limb1);
// p2 = a1 * b0 (64 bits)
let p2 = u32_mul_to_u64(a.limb1, b.limb0);
// p3 = a1 * b1 (64 bits)
let p3 = u32_mul_to_u64(a.limb1, b.limb1);
// result[0] = p0.x
// result[1] = p0.y + p1.x + p2.x + carry
// result[2] = p1.y + p2.y + p3.x + carry
// result[3] = p3.y + carry
var r0 = p0.x;
let sum1 = u32_add_with_carry(p0.y, p1.x, 0u);
let sum2 = u32_add_with_carry(sum1.x, p2.x, 0u);
var r1 = sum2.x;
var c1 = sum1.y + sum2.y; // carry to next limb
let sum3 = u32_add_with_carry(p1.y, p2.y, c1);
let sum4 = u32_add_with_carry(sum3.x, p3.x, 0u);
var r2 = sum4.x;
var c2 = sum3.y + sum4.y;
let sum5 = u32_add_with_carry(p3.y, 0u, c2);
var r3 = sum5.x;
return array<u32, 4>(r0, r1, r2, r3);
}
// Reduce a 4-limb number modulo the Goldilocks prime
fn gf_reduce_4limb(limbs: array<u32, 4>) -> GoldilocksField {
// x_lo = limbs[0], limbs[1]
let x_lo = gf_from_limbs(limbs[0], limbs[1]);
// x_hi = limbs[2], limbs[3]
// x_hi_hi = limbs[3] (upper 32 bits of x_hi)
let x_hi_hi = gf_from_limbs(limbs[3], 0u);
// x_hi_lo = limbs[2] (lower 32 bits of x_hi)
let x_hi_lo = gf_from_limbs(limbs[2], 0u);
// Step 1: t0 = x_lo - x_hi_hi (with underflow detection)
var t0: GoldilocksField;
var underflow = false;
let sub0 = u32_sub_with_borrow(x_lo.limb0, x_hi_hi.limb0, 0u);
let sub1 = u32_sub_with_borrow(x_lo.limb1, x_hi_hi.limb1, sub0.y);
t0 = GoldilocksField(sub0.x, sub1.x);
if (sub1.y != 0u) {
underflow = true;
}
// Step 2: if underflow { t0 -= NEG_ORDER; }
if (underflow) {
let eps_sub0 = u32_sub_with_borrow(t0.limb0, EPSILON_LIMB0, 0u);
let eps_sub1 = u32_sub_with_borrow(t0.limb1, EPSILON_LIMB1, eps_sub0.y);
t0 = GoldilocksField(eps_sub0.x, eps_sub1.x);
}
// Step 3: t1 = x_hi_lo * NEG_ORDER
// NEG_ORDER = 2^32 - 1
// x_hi_lo * (2^32 - 1) = (x_hi_lo << 32) - x_hi_lo
// x_hi_lo is [limbs[2], 0]
// x_hi_lo << 32 is [0, limbs[2]]
let shifted = GoldilocksField(0u, x_hi_lo.limb0);
let t1_sub0 = u32_sub_with_borrow(shifted.limb0, x_hi_lo.limb0, 0u);
let t1_sub1 = u32_sub_with_borrow(shifted.limb1, x_hi_lo.limb1, t1_sub0.y);
let t1 = GoldilocksField(t1_sub0.x, t1_sub1.x);
// Step 4: result = t0 + t1 (with overflow handling like CPU)
let add0 = u32_add_with_carry(t0.limb0, t1.limb0, 0u);
let add1 = u32_add_with_carry(t0.limb1, t1.limb1, add0.y);
var result = GoldilocksField(add0.x, add1.x);
// If overflow, add NEG_ORDER
if (add1.y != 0u) {
let eps_add0 = u32_add_with_carry(result.limb0, EPSILON_LIMB0, 0u);
let eps_add1 = u32_add_with_carry(result.limb1, EPSILON_LIMB1, eps_add0.y);
result = GoldilocksField(eps_add0.x, eps_add1.x);
}
return result;
}
// Main Goldilocks field multiplication
fn gf_mul(a: GoldilocksField, b: GoldilocksField) -> GoldilocksField {
// Handle special cases
if (a.limb0 == 0u && a.limb1 == 0u) { return gf_zero(); }
if (b.limb0 == 0u && b.limb1 == 0u) { return gf_zero(); }
if (a.limb0 == 1u && a.limb1 == 0u) { return b; }
if (b.limb0 == 1u && b.limb1 == 0u) { return a; }
// General case: multiply and reduce
let unreduced = gf_mul_unreduced(a, b);
return gf_reduce_4limb(unreduced);
}
// S-box: x^7 in Goldilocks field (efficient approach)
fn sbox(x: GoldilocksField) -> GoldilocksField {
let x2 = gf_mul(x, x);
let x4 = gf_mul(x2, x2);
let x6 = gf_mul(x4, x2);
return gf_mul(x6, x);
}
// External linear layer for width 12 using correct 4x4 MDS matrix
// Standard MDSMat4: [[2, 3, 1, 1], [1, 2, 3, 1], [1, 1, 2, 3], [3, 1, 1, 2]]
fn external_linear_layer(state: ptr<function, array<GoldilocksField, 12>>) {
// First apply the 4x4 MDS matrix to each consecutive 4 elements
for (var chunk = 0u; chunk < 3u; chunk++) {
let offset = chunk * 4u;
var x: array<GoldilocksField, 4>;
// Copy chunk
for (var i = 0u; i < 4u; i++) {
x[i] = (*state)[offset + i];
}
// Optimized 4x4 MDS application using only additions and doubles,
// matching apply_external_linear_layer_to_chunk in the CPU implementation.
let t01 = gf_add(x[0], x[1]);
let t23 = gf_add(x[2], x[3]);
let t0123 = gf_add(t01, t23);
let t01123 = gf_add(t0123, x[1]);
let t01233 = gf_add(t0123, x[3]);
let two_x0 = gf_add(x[0], x[0]);
let two_x2 = gf_add(x[2], x[2]);
// The order of updates matches the reference algorithm:
// x[3] = t01233 + 2*x[0]
// x[1] = t01123 + 2*x[2]
// x[0] = t01123 + t01
// x[2] = t01233 + t23
let new_3 = gf_add(t01233, two_x0);
let new_1 = gf_add(t01123, two_x2);
let new_0 = gf_add(t01123, t01);
let new_2 = gf_add(t01233, t23);
// Copy back
(*state)[offset + 0u] = new_0;
(*state)[offset + 1u] = new_1;
(*state)[offset + 2u] = new_2;
(*state)[offset + 3u] = new_3;
}
// Now apply the circulant matrix part
// Precompute the four sums of every four elements
var sums: array<GoldilocksField, 4>;
for (var k = 0u; k < 4u; k++) {
sums[k] = gf_zero();
for (var j = k; j < 12u; j += 4u) {
sums[k] = gf_add(sums[k], (*state)[j]);
}
}
// Add the appropriate sum to each element
for (var i = 0u; i < 12u; i++) {
(*state)[i] = gf_add((*state)[i], sums[i % 4u]);
}
}
// Internal linear layer using diagonal matrix for width 12
fn internal_linear_layer(state: ptr<function, array<GoldilocksField, 12>>) {
var result: array<GoldilocksField, 12>;
// Sum all elements
var sum = gf_zero();
for (var i = 0u; i < 12u; i++) {
sum = gf_add(sum, (*state)[i]);
}
// Apply diagonal matrix: result[i] = state[i] * diag[i] + sum
for (var i = 0u; i < 12u; i++) {
let diag_val = gf_from_u64_parts(
MDS_MATRIX_DIAG_12[i][0], // low 32 bits
MDS_MATRIX_DIAG_12[i][1] // high 32 bits
);
let scaled = gf_mul((*state)[i], diag_val);
result[i] = gf_add(scaled, sum);
}
// Copy result back to state
for (var i = 0u; i < 12u; i++) {
(*state)[i] = result[i];
}
}
// Fixed Poseidon2 permutation with proper structure
fn poseidon2_permute(state: ptr<function, array<GoldilocksField, 12>>) {
// Initial MDS permutation (required by p3-poseidon2 spec)
external_linear_layer(state);
// Initial external rounds (4 rounds)
for (var round = 0u; round < 4u; round++) {
// Add round constants
for (var i = 0u; i < 12u; i++) {
(*state)[i] = gf_add((*state)[i], gf_from_const(INITIAL_EXTERNAL_CONSTANTS[round][i]));
}
// S-box on all elements
for (var i = 0u; i < 12u; i++) {
(*state)[i] = sbox((*state)[i]);
}
// External linear layer (4x4 MDS matrix)
external_linear_layer(state);
}
// Internal rounds (22 rounds)
for (var round = 0u; round < 22u; round++) {
// Add round constant to first element only
(*state)[0] = gf_add((*state)[0], gf_from_const(INTERNAL_CONSTANTS[round]));
// S-box on first element only
(*state)[0] = sbox((*state)[0]);
// Internal linear layer (diagonal matrix)
internal_linear_layer(state);
}
// Terminal external rounds (4 rounds)
for (var round = 0u; round < 4u; round++) {
// Add round constants
for (var i = 0u; i < 12u; i++) {
(*state)[i] = gf_add((*state)[i], gf_from_const(TERMINAL_EXTERNAL_CONSTANTS[round][i]));
}
// S-box on all elements
for (var i = 0u; i < 12u; i++) {
(*state)[i] = sbox((*state)[i]);
}
// External linear layer (4x4 MDS matrix)
external_linear_layer(state);
}
}
// Convert bytes to Goldilocks field elements matching reference implementation
// Reference uses 4 bytes per field element with injective padding, creating 25 field elements from 96 bytes
fn bytes_to_field_elements(input: array<u32, 24>) -> array<GoldilocksField, 25> {
var felts: array<GoldilocksField, 25>;
// Convert u32 array to bytes (96 bytes total)
var bytes: array<u32, 96>; // Using u32s to store bytes for easier processing
for (var i = 0u; i < 24u; i++) {
let val = input[i];
bytes[i * 4u + 0u] = val & 0xFFu; // byte 0
bytes[i * 4u + 1u] = (val >> 8u) & 0xFFu; // byte 1
bytes[i * 4u + 2u] = (val >> 16u) & 0xFFu; // byte 2
bytes[i * 4u + 3u] = (val >> 24u) & 0xFFu; // byte 3
}
// Apply injective padding: add 1 byte, then pad with zeros to 4-byte alignment
var padded_len = 96u + 1u; // 96 bytes + 1 marker byte = 97
let padding_needed = (4u - (padded_len % 4u)) % 4u;
padded_len = padded_len + padding_needed; // Should be 100 bytes (25 u32s worth)
// Create padded byte array
var padded_bytes: array<u32, 100>;
for (var i = 0u; i < 96u; i++) {
padded_bytes[i] = bytes[i];
}
padded_bytes[96] = 1u; // End marker
for (var i = 97u; i < 100u; i++) {
padded_bytes[i] = 0u; // Padding zeros
}
// Convert every 4 bytes to one field element (25 field elements total)
for (var i = 0u; i < 25u; i++) {
let byte_idx = i * 4u;
// Create u32 from 4 bytes in little-endian order
let val = padded_bytes[byte_idx] |
(padded_bytes[byte_idx + 1u] << 8u) |
(padded_bytes[byte_idx + 2u] << 16u) |
(padded_bytes[byte_idx + 3u] << 24u);
felts[i] = gf_from_u32(val);
}
return felts;
}
// Convert field elements back to bytes
fn field_elements_to_bytes(felts: array<GoldilocksField, 4>) -> array<u32, 8> {
var result: array<u32, 8>;
for (var i = 0u; i < 4u; i++) {
result[i * 2u] = felts[i].limb0;
result[i * 2u + 1u] = felts[i].limb1;
}
return result;
}
// Fixed Poseidon2 hash function with proper sponge construction
fn poseidon2_hash_squeeze_twice(input: array<u32, 24>) -> array<u32, 16> {
var state: array<GoldilocksField, 12>;
// Initialize state to zero
for (var i = 0u; i < 12u; i++) {
state[i] = gf_zero();
}
// Convert input to field elements (25 total: 24 from input + 1 terminator)
let input_felts = bytes_to_field_elements(input);
// Sponge construction matching CPU reference exactly:
// CPU processes field elements using push_to_buf() which absorbs in chunks of RATE=8
// Process first 24 elements (3 complete chunks of 8)
for (var chunk = 0u; chunk < 3u; chunk++) {
// Absorb 8 elements for this chunk
for (var i = 0u; i < 8u; i++) {
let felt_idx = chunk * 8u + i;
state[i] = gf_add(state[i], input_felts[felt_idx]);
}
// Permute after each complete chunk
poseidon2_permute(&state);
}
// Process remaining 1 element (partial chunk)
// Now we have element 24 (the terminator = 1) remaining
state[0] = gf_add(state[0], input_felts[24u]); // Add the terminator (value 1)
// Add sponge padding marker (ONE) to the next position
state[1] = gf_add(state[1], gf_one());
// Final permutation
poseidon2_permute(&state);
// First squeeze - get first 4 field elements (POSEIDON2_OUTPUT=4 -> 32 bytes)
let first_output = field_elements_to_bytes(array<GoldilocksField, 4>(
state[0], state[1], state[2], state[3]
));
// Second squeeze
poseidon2_permute(&state);
let second_output = field_elements_to_bytes(array<GoldilocksField, 4>(
state[0], state[1], state[2], state[3]
));
// Combine both squeezes into 64-byte output
var result: array<u32, 16>;
for (var i = 0u; i < 8u; i++) {
result[i] = first_output[i];
result[i + 8u] = second_output[i];
}
return result;
}
// Poseidon2 hash function for 64-byte input (used in double hash)
fn poseidon2_hash_squeeze_twice_64(input: array<u32, 16>) -> array<u32, 16> {
var state: array<GoldilocksField, 12>;
// Initialize state to zero
for (var i = 0u; i < 12u; i++) {
state[i] = gf_zero();
}
// Convert input to field elements
// 64 bytes = 16 u32s = 16 felts
// Padding adds 1 byte + 3 zeros = 4 bytes = 1 felt (value 1)
// Total 17 felts
// Process first 16 elements (4 complete chunks of 4)
for (var chunk = 0u; chunk < 4u; chunk++) {
// Absorb 4 elements for this chunk
for (var i = 0u; i < 4u; i++) {
let felt_idx = chunk * 4u + i;
state[i] = gf_add(state[i], gf_from_u32(input[felt_idx]));
}
// Permute after each complete chunk
poseidon2_permute(&state);
}
// Handle the last felt (padding marker = 1) and sponge padding
// The last felt is 1 (from bytes 1, 0, 0, 0)
state[0] = gf_add(state[0], gf_one());
// Add sponge padding marker (ONE) to the next position
state[1] = gf_add(state[1], gf_one());
// Final permutation
poseidon2_permute(&state);
// First squeeze
let first_output = field_elements_to_bytes(array<GoldilocksField, 4>(
state[0], state[1], state[2], state[3]
));
// Second squeeze
poseidon2_permute(&state);
let second_output = field_elements_to_bytes(array<GoldilocksField, 4>(
state[0], state[1], state[2], state[3]
));
// Combine both squeezes into 64-byte output
var result: array<u32, 16>;
for (var i = 0u; i < 8u; i++) {
result[i] = first_output[i];
result[i + 8u] = second_output[i];
}
return result;
}
// Single Poseidon2 hash with double squeeze (512-bit output)
fn hash_squeeze_twice(input: array<u32, 24>) -> array<u32, 16> {
return poseidon2_hash_squeeze_twice(input);
}
fn bswap32(v: u32) -> u32 {
return ((v & 0xFFu) << 24u) | ((v & 0xFF00u) << 8u) | ((v >> 8u) & 0xFF00u) | (v >> 24u);
}
// Main mining kernel
@compute @workgroup_size(256)
fn mining_main(@builtin(global_invocation_id) global_id: vec3<u32>) {
// If solution already found, exit early
if (atomicLoad(&results[0]) != 0u) {
return;
}
let thread_id = global_id.x;
// Read dispatch configuration from buffer
let total_threads = dispatch_config[0]; // Total logical threads in this dispatch
let nonces_per_thread = dispatch_config[1]; // Nonces processed by each thread
let total_nonces = dispatch_config[2]; // Total logical nonces this dispatch should cover
// Guard against threads beyond configured total_threads
if (thread_id >= total_threads) {
return;
}
// Base logical index for this thread
let base_index = thread_id * nonces_per_thread;
// Work coarsening: each thread processes a contiguous block of nonces
for (var j = 0u; j < nonces_per_thread; j = j + 1u) {
let logical_index = base_index + j;
if (logical_index >= total_nonces) {
break;
}
// Check if solution already found (early exit for entire dispatch)
if (atomicLoad(&results[0]) != 0u) {
return;
}
// current_nonce = start_nonce + logical_index. The host guarantees a batch
// never carries into the high nonce half (limbs 8..15).
var current_nonce: array<u32, 16>;
var carry: u32 = 0u;
let val0 = start_nonce[0];
let sum0 = val0 + logical_index;
current_nonce[0] = sum0;
carry = select(0u, 1u, sum0 < val0);
for (var i = 1u; i < 8u; i++) {
let val = start_nonce[i];
let sum = val + carry;
current_nonce[i] = sum;
carry = select(0u, 1u, sum < val);
}
for (var i = 8u; i < 16u; i++) {
current_nonce[i] = start_nonce[i];
}
// Resume the sponge from the precomputed midstate: absorb the low nonce
// half (as Big Endian words), pad, squeeze twice (3 permutations instead of 5).
var state: array<GoldilocksField, 12>;
for (var i = 0u; i < 12u; i++) {
state[i] = gf_from_limbs(midstate[2u * i], midstate[2u * i + 1u]);
}
for (var i = 0u; i < 8u; i++) {
let val = current_nonce[7u - i];
let rev = ((val & 0xFFu) << 24u) |
((val & 0xFF00u) << 8u) |
((val & 0xFF0000u) >> 8u) |
((val & 0xFF000000u) >> 24u);
state[i] = gf_add(state[i], gf_from_u32(rev));
}
poseidon2_permute(&state);
state[0] = gf_add(state[0], gf_one());
state[1] = gf_add(state[1], gf_one());
poseidon2_permute(&state);
// First squeeze yields the most significant 256 bits of the hash, which
// decide hash-vs-target on their own unless they exactly equal the
// target's high half. Only candidates pay for the second squeeze.
let first_output = field_elements_to_bytes(array<GoldilocksField, 4>(
state[0], state[1], state[2], state[3]
));
var hash_le: array<u32, 16>;
for (var i = 0u; i < 8u; i++) {
hash_le[15u - i] = bswap32(first_output[i]);
}
var cmp = 0u;
for (var i = 0u; i < 8u; i++) {
let h = hash_le[15u - i];
let t = difficulty_target[15u - i];
if (h != t) {
cmp = select(2u, 1u, h > t);
break;
}
}
if (cmp == 1u) {
continue;
}
poseidon2_permute(&state);
let second_output = field_elements_to_bytes(array<GoldilocksField, 4>(
state[0], state[1], state[2], state[3]
));
for (var i = 0u; i < 8u; i++) {
hash_le[i] = bswap32(second_output[7u - i]);
}
var below = cmp == 2u;
if (!below) {
for (var i = 0u; i < 8u; i++) {
let h = hash_le[7u - i];
let t = difficulty_target[7u - i];
if (h != t) {
below = h < t;
break;
}
}
}
if (below) {
// Try to claim the solution
if (atomicExchange(&results[0], 1u) == 0u) {
// results layout: [0]=found, [1..16]=nonce, [17..32]=hash
for (var i = 0u; i < 16u; i++) {
atomicStore(&results[1u + i], current_nonce[i]);
atomicStore(&results[17u + i], hash_le[i]);
}
}
return; // Exit loop after finding solution
}
}
}
@@ -0,0 +1,573 @@
// Native-u64 Poseidon2 mining kernel. Default path for non-Apple GPUs.
// Requires wgpu Features::SHADER_INT64. Bit-exact with mining.wgsl / pow_core.
@group(0) @binding(0) var<storage, read_write> results: array<atomic<u32>>;
// Sponge state after absorbing header + high nonce half (12 felts as LE u32 pairs),
// precomputed on the host per batch. See pow_core::mining_midstate.
@group(0) @binding(1) var<storage, read> midstate: array<u32, 24>;
@group(0) @binding(2) var<storage, read> start_nonce: array<u32, 16>;
@group(0) @binding(3) var<storage, read> difficulty_target: array<u32, 16>;
@group(0) @binding(4) var<storage, read> dispatch_config: array<u32, 3>;
const P64: u64 = 0xFFFFFFFF00000001lu;
// EPS64 = 2^32 - 1 = 2^64 mod P
const EPS64: u64 = 0xFFFFFFFFlu;
const RC_INTERNAL: array<u64, 22> = array<u64, 22>(
0x97f7798a784ad863lu, 0xd1d2bf082f60d4f0lu, 0x69a377a79f9ad206lu, 0xa9d06906a3858e24lu, 0x295275001eede5b5lu, 0x5874e441117bd746lu, 0x8a084bbba8ed86cclu, 0x3defd7645cde6425lu, 0x3998cfe6871cc137lu, 0x3e52ef8bca48314alu, 0x964a209f85dc9ecclu, 0x3fcc9ee82cc4577elu, 0x8e79b4a5d0096d6dlu, 0x8492362ad2392556lu, 0xee72f470262574d6lu, 0x1e0e18496da2444alu, 0x0f3a74bf215eaac6lu, 0x1b061b76a1c0ded3lu, 0x192c42d86803d7a6lu, 0xf6d49ff997ae0260lu, 0x3ec372e7a0fa3786lu, 0x5538cdf4f23445d3lu
);
const RC_INITIAL: array<array<u64, 12>, 4> = array<array<u64, 12>, 4>(
array<u64, 12>(0xc002e770975b1607lu, 0xbca51a8dfe14593alu, 0x72938dfbe774f7f9lu, 0xe4f2fe29e03234aclu, 0xd5e0ba2f541b6449lu, 0xec33b868f3cc46c1lu, 0x486dcb55419d475alu, 0x6c1cb2a358cc24f1lu, 0xe3f30d509a1436bblu, 0xd9a64f068dca7c29lu, 0xe59b3f57aabba1aelu, 0x2a3dd4505b478fdclu),
array<u64, 12>(0xada1f8dc7676ed25lu, 0x2711aa8b5509d516lu, 0x4ae6acd0c9c92897lu, 0x56eb3d6b5256d67alu, 0x1f7a9d55923bf51elu, 0x3600427d397a7f68lu, 0xe5076df75b72c3d0lu, 0xfcd59aa12c6090adlu, 0xcd895e8c68b57a9elu, 0x41df7ef9d730ae3elu, 0xee3e2b889abe977dlu, 0xd29bb7edbeb9c405lu),
array<u64, 12>(0x7d5c08eef608e382lu, 0x89ae889caaf0802clu, 0xb35a8e976d2af617lu, 0xdb14234eafaf5173lu, 0x78f04462d48b1c98lu, 0x265293b0e47ce88alu, 0x999a649b69b9d32flu, 0x64b0a186698e01d3lu, 0xee0b22d0dfae8bb8lu, 0x4fd53e50ca04a7eelu, 0x5762bfe181f25047lu, 0xf51593e2beb5e3bdlu),
array<u64, 12>(0x1e5e2b5760e32477lu, 0x622462a1f9aaaeedlu, 0xaa284b3ecdb222aelu, 0x63c8e72f542bf3fclu, 0x3ba588cacb43b5e0lu, 0x23eda6f3c99150ddlu, 0xaad3bea4baac9a5alu, 0xe9da8d699b94184alu, 0xcdb13f4cd93e024clu, 0x902cbd0956f655e3lu, 0x5b4e40ffc759532flu, 0xde795c20a2357af7lu)
);
const RC_TERMINAL: array<array<u64, 12>, 4> = array<array<u64, 12>, 4>(
array<u64, 12>(0x7b72c539e0ea4c6elu, 0x144573dae2ce9976lu, 0x802028b68f35fc88lu, 0x6d36c5022c4fe7c2lu, 0xa205d0ffa9b9def3lu, 0xf6e7e38b1ea6ba2flu, 0x34f7909ae5258d64lu, 0xb0464d9d77b97fcalu, 0x64ddb9d5de7e00a6lu, 0x0ed0d75c27975d97lu, 0x1cbb36f11127338blu, 0x6673e505cfd0b6balu),
array<u64, 12>(0x605f902830872e01lu, 0x3fd5eb927e95fe4flu, 0xe81025b5a24c69cdlu, 0xf7d0ce75de23f74elu, 0xf39942b6a8585089lu, 0x6d808a08f7b71df6lu, 0xf8806b6588f49a8blu, 0x57df2d8c2a32107alu, 0x16e7c2074d654a2dlu, 0x213de241fcf33835lu, 0xb0f2b8905a0976f6lu, 0xd8e3cf2bbd355417lu),
array<u64, 12>(0xe498691679d9330flu, 0x763b45d2a3821b28lu, 0x0908bf65eb0a1f0dlu, 0x7691eb2d194b24f4lu, 0x0e43551233ae13b2lu, 0x93c393dbfc2fe76flu, 0x98f607485d48cdealu, 0xe3d95f30309819c0lu, 0x1ef581a93eaf6acflu, 0x0b24c1b7a030fca4lu, 0x624370be5670b327lu, 0x5f1e28615a11e486lu),
array<u64, 12>(0xfe04051f909e042blu, 0x7257e5b147fd3803lu, 0xe6ae134bb82f2e78lu, 0x5711fd5cf4784511lu, 0xf83a42660c08c0bclu, 0x2cd8c96d9a3ce855lu, 0x7d2ffb1bb0e17271lu, 0x85ae1528caea3811lu, 0x52a345d5c7adb0b8lu, 0x504c4c51f3faee94lu, 0xbce34a649cfccaf9lu, 0xe0a3389266fb6dc9lu)
);
const MDS_DIAG: array<u64, 12> = array<u64, 12>(
0xc3b6c08e23ba9300lu, 0xd84b5de94a324fb6lu, 0x0d0c371c5b35b84flu, 0x7964f570e7188037lu, 0x5daf18bbd996604blu, 0x6743bc47b9595257lu, 0x5528b9362c59bb70lu, 0xac45e25b7127b68blu, 0xa2077d7dfbb606b5lu, 0xf3faac6faee378aelu, 0x0c6388b51545e883lu, 0xd27dbb6944917b60lu
);
// a + b mod P in lazy form. Wrapping carries fold back via 2^64 ≡ EPS64 (mod P).
fn gf64_add(a: u64, b: u64) -> u64 {
let s0 = a + b;
let c1 = s0 < a;
let s1 = s0 + select(0lu, EPS64, c1);
let c2 = c1 && (s1 < s0);
return s1 + select(0lu, EPS64, c2);
}
// Reduce a 128-bit value (lo + hi*2^64) mod P using
// 2^64 ≡ EPS64 and 2^96 ≡ -1 (mod P).
fn gf64_reduce(lo: u64, hi: u64) -> u64 {
let hi_hi = hi >> 32u;
let hi_lo = hi & EPS64;
var t0 = lo - hi_hi;
t0 = t0 - select(0lu, EPS64, lo < hi_hi);
let t1 = hi_lo * EPS64;
let t2 = t0 + t1;
return t2 + select(0lu, EPS64, t2 < t0);
}
fn gf64_mul(a: u64, b: u64) -> u64 {
let a_lo = a & EPS64;
let a_hi = a >> 32u;
let b_lo = b & EPS64;
let b_hi = b >> 32u;
let ll = a_lo * b_lo;
let lh = a_lo * b_hi;
let hl = a_hi * b_lo;
let hh = a_hi * b_hi;
let mid = lh + hl;
let mid_c = select(0lu, 1lu, mid < lh);
let lo = ll + (mid << 32u);
let lo_c = select(0lu, 1lu, lo < ll);
let hi = hh + (mid >> 32u) + (mid_c << 32u) + lo_c;
return gf64_reduce(lo, hi);
}
fn gf64_sqr(a: u64) -> u64 {
let a_lo = a & EPS64;
let a_hi = a >> 32u;
let ll = a_lo * a_lo;
let lh = a_lo * a_hi;
let hh = a_hi * a_hi;
let mid = lh << 1u;
let mid_c = lh >> 63u;
let lo = ll + (mid << 32u);
let lo_c = select(0lu, 1lu, lo < ll);
let hi = hh + (mid >> 32u) + (mid_c << 32u) + lo_c;
return gf64_reduce(lo, hi);
}
fn gf64_sbox(x: u64) -> u64 {
let x2 = gf64_sqr(x);
let x4 = gf64_sqr(x2);
let x6 = gf64_mul(x4, x2);
return gf64_mul(x6, x);
}
fn gf64_canon(a: u64) -> u64 {
return a - select(0lu, P64, a >= P64);
}
// External linear layer: 4x4 MDS on each chunk, then circulant sums.
fn ext_layer64(state: ptr<function, array<u64, 12>>) {
for (var chunk = 0u; chunk < 3u; chunk++) {
let o = chunk * 4u;
let x0 = (*state)[o];
let x1 = (*state)[o + 1u];
let x2 = (*state)[o + 2u];
let x3 = (*state)[o + 3u];
let t01 = gf64_add(x0, x1);
let t23 = gf64_add(x2, x3);
let t0123 = gf64_add(t01, t23);
let t01123 = gf64_add(t0123, x1);
let t01233 = gf64_add(t0123, x3);
(*state)[o + 3u] = gf64_add(t01233, gf64_add(x0, x0));
(*state)[o + 1u] = gf64_add(t01123, gf64_add(x2, x2));
(*state)[o] = gf64_add(t01123, t01);
(*state)[o + 2u] = gf64_add(t01233, t23);
}
var sums: array<u64, 4>;
for (var k = 0u; k < 4u; k++) {
sums[k] = gf64_add(gf64_add((*state)[k], (*state)[k + 4u]), (*state)[k + 8u]);
}
for (var i = 0u; i < 12u; i++) {
(*state)[i] = gf64_add((*state)[i], sums[i % 4u]);
}
}
// Internal linear layer: diagonal matrix plus full sum.
fn int_layer64(state: ptr<function, array<u64, 12>>) {
var sum = (*state)[0];
for (var i = 1u; i < 12u; i++) {
sum = gf64_add(sum, (*state)[i]);
}
for (var i = 0u; i < 12u; i++) {
(*state)[i] = gf64_add(gf64_mul((*state)[i], MDS_DIAG[i]), sum);
}
}
fn permute64(state: ptr<function, array<u64, 12>>) {
ext_layer64(state);
for (var r = 0u; r < 4u; r++) {
for (var i = 0u; i < 12u; i++) {
(*state)[i] = gf64_add((*state)[i], RC_INITIAL[r][i]);
}
for (var i = 0u; i < 12u; i++) {
(*state)[i] = gf64_sbox((*state)[i]);
}
ext_layer64(state);
}
for (var r = 0u; r < 22u; r++) {
(*state)[0] = gf64_sbox(gf64_add((*state)[0], RC_INTERNAL[r]));
int_layer64(state);
}
for (var r = 0u; r < 4u; r++) {
for (var i = 0u; i < 12u; i++) {
(*state)[i] = gf64_add((*state)[i], RC_TERMINAL[r][i]);
}
for (var i = 0u; i < 12u; i++) {
(*state)[i] = gf64_sbox((*state)[i]);
}
ext_layer64(state);
}
}
fn bswap32(v: u32) -> u32 {
return ((v & 0xFFu) << 24u) | ((v & 0xFF00u) << 8u) | ((v >> 8u) & 0xFF00u) | (v >> 24u);
}
@compute @workgroup_size(256)
fn mining_main(@builtin(global_invocation_id) global_id: vec3<u32>) {
if (atomicLoad(&results[0]) != 0u) {
return;
}
let thread_id = global_id.x;
let total_threads = dispatch_config[0];
let nonces_per_thread = dispatch_config[1];
let total_nonces = dispatch_config[2];
if (thread_id >= total_threads) {
return;
}
let base_index = thread_id * nonces_per_thread;
// Hoist uniform storage reads out of the nonce loop
var mid: array<u64, 12>;
for (var i = 0u; i < 12u; i++) {
mid[i] = (u64(midstate[2u * i + 1u]) << 32u) | u64(midstate[2u * i]);
}
var tgt: array<u32, 16>;
for (var i = 0u; i < 16u; i++) {
tgt[i] = difficulty_target[i];
}
var nonce_base: array<u32, 16>;
for (var i = 0u; i < 16u; i++) {
nonce_base[i] = start_nonce[i];
}
for (var j = 0u; j < nonces_per_thread; j = j + 1u) {
let logical_index = base_index + j;
if (logical_index >= total_nonces) {
break;
}
if (j > 0u && atomicLoad(&results[0]) != 0u) {
return;
}
// The host guarantees a batch never carries into the high nonce half
// (limbs 8..15), so only the low 256 bits are incremented here.
var current_nonce: array<u32, 16>;
let val0 = nonce_base[0];
let sum0 = val0 + logical_index;
current_nonce[0] = sum0;
var carry = select(0u, 1u, sum0 < val0);
for (var i = 1u; i < 8u; i++) {
let val = nonce_base[i];
let sum = val + carry;
current_nonce[i] = sum;
carry = select(0u, 1u, sum < val);
}
for (var i = 8u; i < 16u; i++) {
current_nonce[i] = nonce_base[i];
}
// Resume the sponge from the precomputed midstate: absorb the low
// nonce half, pad, squeeze twice (3 permutations instead of 5).
var st: array<u64, 12>;
for (var i = 0u; i < 12u; i++) {
st[i] = mid[i];
}
for (var i = 0u; i < 8u; i++) {
st[i] = gf64_add(st[i], u64(bswap32(current_nonce[7u - i])));
}
permute64(&st);
st[0] = gf64_add(st[0], 1lu);
st[1] = gf64_add(st[1], 1lu);
permute64(&st);
// First squeeze yields the most significant 256 bits of the hash, which
// decide hash-vs-target on their own unless they exactly equal the
// target's high half. Only candidates pay for the second squeeze, and
// byte-swapped hash words are produced on demand during the compare.
var first: array<u32, 8>;
for (var i = 0u; i < 4u; i++) {
let c = gf64_canon(st[i]);
first[2u * i] = u32(c & EPS64);
first[2u * i + 1u] = u32(c >> 32u);
}
var cmp = 0u;
for (var i = 0u; i < 8u; i++) {
let h = bswap32(first[i]);
let t = tgt[15u - i];
if (h != t) {
cmp = select(2u, 1u, h > t);
break;
}
}
if (cmp == 1u) {
continue;
}
var hash_le: array<u32, 16>;
for (var i = 0u; i < 8u; i++) {
hash_le[15u - i] = bswap32(first[i]);
}
permute64(&st);
for (var i = 0u; i < 4u; i++) {
let c = gf64_canon(st[i]);
hash_le[7u - 2u * i] = bswap32(u32(c & EPS64));
hash_le[6u - 2u * i] = bswap32(u32(c >> 32u));
}
var below = cmp == 2u;
if (!below) {
for (var i = 0u; i < 8u; i++) {
let h = hash_le[7u - i];
let t = tgt[7u - i];
if (h != t) {
below = h < t;
break;
}
}
}
if (below) {
if (atomicExchange(&results[0], 1u) == 0u) {
for (var i = 0u; i < 16u; i++) {
atomicStore(&results[1u + i], current_nonce[i]);
atomicStore(&results[17u + i], hash_le[i]);
}
}
return;
}
}
}
// ---------------------------------------------------------------------------
// Compatibility layer: same API as mining.wgsl, backed by the u64 core above.
// Only used by the component test harness; the mining kernel never calls it.
// All outputs are canonical, matching the reference implementation.
// ---------------------------------------------------------------------------
struct GoldilocksField {
limb0: u32,
limb1: u32,
}
const INTERNAL_CONSTANTS: array<array<u32, 2>, 22> = array<array<u32, 2>, 22>(
array<u32, 2>(2018170979u, 2549578122u),
array<u32, 2>(794875120u, 3520249608u),
array<u32, 2>(2677723654u, 1772320679u),
array<u32, 2>(2743438884u, 2849007878u),
array<u32, 2>(518907317u, 693269760u),
array<u32, 2>(293328710u, 1484055617u),
array<u32, 2>(2834138828u, 2315799483u),
array<u32, 2>(1558078501u, 1039128420u),
array<u32, 2>(2266808631u, 966316006u),
array<u32, 2>(3393728842u, 1045622667u),
array<u32, 2>(2245828300u, 2521440415u),
array<u32, 2>(751064958u, 1070374632u),
array<u32, 2>(3490278765u, 2390340773u),
array<u32, 2>(3526960470u, 2224174634u),
array<u32, 2>(639988950u, 4000511088u),
array<u32, 2>(1839350858u, 504240201u),
array<u32, 2>(559852230u, 255489215u),
array<u32, 2>(2713771731u, 453385078u),
array<u32, 2>(1745082278u, 422331096u),
array<u32, 2>(2544763488u, 4141129721u),
array<u32, 2>(2700752774u, 1052996327u),
array<u32, 2>(4063512019u, 1429786100u)
);
const INITIAL_EXTERNAL_CONSTANTS: array<array<array<u32, 2>, 12>, 4> = array<array<array<u32, 2>, 12>, 4>(
array<array<u32, 2>, 12>(
array<u32, 2>(2539329031u, 3221415792u),
array<u32, 2>(4262746426u, 3164936845u),
array<u32, 2>(3883202553u, 1922272763u),
array<u32, 2>(3761386668u, 3841130025u),
array<u32, 2>(1411081289u, 3588274735u),
array<u32, 2>(4090250945u, 3962812520u),
array<u32, 2>(1100826458u, 1215155029u),
array<u32, 2>(1489773809u, 1813820067u),
array<u32, 2>(2585015995u, 3824356688u),
array<u32, 2>(2378857513u, 3651555078u),
array<u32, 2>(2864423342u, 3852156759u),
array<u32, 2>(1531416540u, 708695120u)
),
array<array<u32, 2>, 12>(
array<u32, 2>(1987505445u, 2913073372u),
array<u32, 2>(1426707734u, 655469195u),
array<u32, 2>(3385403543u, 1256631504u),
array<u32, 2>(1381422714u, 1458257259u),
array<u32, 2>(2453402910u, 528129365u),
array<u32, 2>(964329320u, 905986685u),
array<u32, 2>(1534247888u, 3842469367u),
array<u32, 2>(744525997u, 4241857185u),
array<u32, 2>(1756723870u, 3448331916u),
array<u32, 2>(3610291774u, 1105166073u),
array<u32, 2>(2596181885u, 3997051784u),
array<u32, 2>(3199845381u, 3533420525u)
),
array<array<u32, 2>, 12>(
array<u32, 2>(4127777666u, 2103183598u),
array<u32, 2>(2867888172u, 2309916828u),
array<u32, 2>(1831532055u, 3009056407u),
array<u32, 2>(2947502451u, 3675530062u),
array<u32, 2>(3565886616u, 2029012066u),
array<u32, 2>(3833391242u, 642945968u),
array<u32, 2>(1773785903u, 2577032347u),
array<u32, 2>(1770914259u, 1689297286u),
array<u32, 2>(3752758200u, 3993707216u),
array<u32, 2>(3389302766u, 1339375184u),
array<u32, 2>(2180141127u, 1466089441u),
array<u32, 2>(3199591357u, 4111832034u)
),
array<array<u32, 2>, 12>(
array<u32, 2>(1625498743u, 509487959u),
array<u32, 2>(4188712685u, 1646551713u),
array<u32, 2>(3451003566u, 2854767422u),
array<u32, 2>(1412166652u, 1674110767u),
array<u32, 2>(3410212320u, 1000704202u),
array<u32, 2>(3381743837u, 602777331u),
array<u32, 2>(3131873882u, 2866003620u),
array<u32, 2>(2610174026u, 3923414377u),
array<u32, 2>(3644719692u, 3450945356u),
array<u32, 2>(1458984419u, 2418851081u),
array<u32, 2>(3344519983u, 1531855103u),
array<u32, 2>(2721413879u, 3732495392u)
)
);
const TERMINAL_EXTERNAL_CONSTANTS: array<array<array<u32, 2>, 12>, 4> = array<array<array<u32, 2>, 12>, 4>(
array<array<u32, 2>, 12>(
array<u32, 2>(3773451374u, 2071119161u),
array<u32, 2>(3805190518u, 340095962u),
array<u32, 2>(2402679944u, 2149591222u),
array<u32, 2>(743434178u, 1832305922u),
array<u32, 2>(2847530739u, 2718290175u),
array<u32, 2>(514243119u, 4142392203u),
array<u32, 2>(3844443492u, 888639642u),
array<u32, 2>(2008645578u, 2957397405u),
array<u32, 2>(3732799654u, 1692252629u),
array<u32, 2>(664231319u, 248567644u),
array<u32, 2>(287781771u, 482031345u),
array<u32, 2>(3486561978u, 1718871301u)
),
array<array<u32, 2>, 12>(
array<u32, 2>(814165505u, 1616875560u),
array<u32, 2>(2123759183u, 1070984082u),
array<u32, 2>(2722916813u, 3893372341u),
array<u32, 2>(3726899022u, 4157656693u),
array<u32, 2>(2824360073u, 4086907574u),
array<u32, 2>(4155973110u, 1837140488u),
array<u32, 2>(2297731723u, 4169165669u),
array<u32, 2>(707924090u, 1474243980u),
array<u32, 2>(1298483757u, 384287239u),
array<u32, 2>(4243798069u, 557703745u),
array<u32, 2>(1510569718u, 2968696976u),
array<u32, 2>(3174388759u, 3638808363u)
),
array<array<u32, 2>, 12>(
array<u32, 2>(2044277519u, 3835193622u),
array<u32, 2>(2743212840u, 1983595986u),
array<u32, 2>(3943309069u, 151568229u),
array<u32, 2>(424355060u, 1989274413u),
array<u32, 2>(867046322u, 239293714u),
array<u32, 2>(4230997871u, 2479068123u),
array<u32, 2>(1565052394u, 2566260552u),
array<u32, 2>(815274432u, 3822673712u),
array<u32, 2>(1051683535u, 519405993u),
array<u32, 2>(2687564964u, 186958263u),
array<u32, 2>(1450226471u, 1648586942u),
array<u32, 2>(1511122054u, 1595811937u)
),
array<array<u32, 2>, 12>(
array<u32, 2>(2426274859u, 4261676319u),
array<u32, 2>(1207777283u, 1918363057u),
array<u32, 2>(3090099832u, 3870167883u),
array<u32, 2>(4101522705u, 1460796764u),
array<u32, 2>(201900220u, 4164567654u),
array<u32, 2>(2587682901u, 752404845u),
array<u32, 2>(2967564913u, 2100296475u),
array<u32, 2>(3404347409u, 2242778408u),
array<u32, 2>(3350048952u, 1386431957u),
array<u32, 2>(4093308564u, 1347177553u),
array<u32, 2>(2633812729u, 3169012324u),
array<u32, 2>(1727753673u, 3768793234u)
)
);
fn gf_pack(g: GoldilocksField) -> u64 {
return (u64(g.limb1) << 32u) | u64(g.limb0);
}
fn gf_unpack(v: u64) -> GoldilocksField {
let c = gf64_canon(v);
return GoldilocksField(u32(c & EPS64), u32(c >> 32u));
}
fn gf_from_limbs(l0: u32, l1: u32) -> GoldilocksField {
return GoldilocksField(l0, l1);
}
fn gf_zero() -> GoldilocksField {
return GoldilocksField(0u, 0u);
}
fn gf_one() -> GoldilocksField {
return GoldilocksField(1u, 0u);
}
fn gf_from_u32(val: u32) -> GoldilocksField {
return GoldilocksField(val, 0u);
}
fn gf_from_u64_parts(low: u32, high: u32) -> GoldilocksField {
return gf_unpack((u64(high) << 32u) | u64(low));
}
fn gf_from_const(val: array<u32, 2>) -> GoldilocksField {
return gf_from_u64_parts(val[0], val[1]);
}
fn gf_add(a: GoldilocksField, b: GoldilocksField) -> GoldilocksField {
return gf_unpack(gf64_add(gf_pack(a), gf_pack(b)));
}
fn gf_mul(a: GoldilocksField, b: GoldilocksField) -> GoldilocksField {
return gf_unpack(gf64_mul(gf_pack(a), gf_pack(b)));
}
fn sbox(x: GoldilocksField) -> GoldilocksField {
return gf_unpack(gf64_sbox(gf_pack(x)));
}
fn state_pack(state: ptr<function, array<GoldilocksField, 12>>, out: ptr<function, array<u64, 12>>) {
for (var i = 0u; i < 12u; i++) {
(*out)[i] = gf_pack((*state)[i]);
}
}
fn state_unpack(v: ptr<function, array<u64, 12>>, state: ptr<function, array<GoldilocksField, 12>>) {
for (var i = 0u; i < 12u; i++) {
(*state)[i] = gf_unpack((*v)[i]);
}
}
fn external_linear_layer(state: ptr<function, array<GoldilocksField, 12>>) {
var st: array<u64, 12>;
state_pack(state, &st);
ext_layer64(&st);
state_unpack(&st, state);
}
fn internal_linear_layer(state: ptr<function, array<GoldilocksField, 12>>) {
var st: array<u64, 12>;
state_pack(state, &st);
int_layer64(&st);
state_unpack(&st, state);
}
fn poseidon2_permute(state: ptr<function, array<GoldilocksField, 12>>) {
var st: array<u64, 12>;
state_pack(state, &st);
permute64(&st);
state_unpack(&st, state);
}
fn bytes_to_field_elements(input: array<u32, 24>) -> array<GoldilocksField, 25> {
var felts: array<GoldilocksField, 25>;
for (var i = 0u; i < 24u; i++) {
felts[i] = gf_from_u32(input[i]);
}
felts[24] = gf_one();
return felts;
}
fn field_elements_to_bytes(felts: array<GoldilocksField, 4>) -> array<u32, 8> {
var result: array<u32, 8>;
for (var i = 0u; i < 4u; i++) {
result[i * 2u] = felts[i].limb0;
result[i * 2u + 1u] = felts[i].limb1;
}
return result;
}
fn poseidon2_hash_squeeze_twice(input: array<u32, 24>) -> array<u32, 16> {
var st: array<u64, 12>;
for (var i = 0u; i < 12u; i++) {
st[i] = 0lu;
}
for (var chunk = 0u; chunk < 3u; chunk++) {
for (var i = 0u; i < 8u; i++) {
st[i] = gf64_add(st[i], u64(input[chunk * 8u + i]));
}
permute64(&st);
}
st[0] = gf64_add(st[0], 1lu);
st[1] = gf64_add(st[1], 1lu);
permute64(&st);
var result: array<u32, 16>;
for (var i = 0u; i < 4u; i++) {
let c = gf64_canon(st[i]);
result[2u * i] = u32(c & EPS64);
result[2u * i + 1u] = u32(c >> 32u);
}
permute64(&st);
for (var i = 0u; i < 4u; i++) {
let c = gf64_canon(st[i]);
result[8u + 2u * i] = u32(c & EPS64);
result[8u + 2u * i + 1u] = u32(c >> 32u);
}
return result;
}
fn hash_squeeze_twice(input: array<u32, 24>) -> array<u32, 16> {
return poseidon2_hash_squeeze_twice(input);
}
@@ -0,0 +1,650 @@
// Native-u64 Poseidon2 mining kernel. Apple Metal path only.
// Requires wgpu Features::SHADER_INT64. Bit-exact with mining.wgsl / pow_core.
@group(0) @binding(0) var<storage, read_write> results: array<atomic<u32>>;
// Sponge state after absorbing header + high nonce half (12 felts as LE u32 pairs),
// precomputed on the host per batch. See pow_core::mining_midstate.
@group(0) @binding(1) var<storage, read> midstate: array<u32, 24>;
@group(0) @binding(2) var<storage, read> start_nonce: array<u32, 16>;
@group(0) @binding(3) var<storage, read> difficulty_target: array<u32, 16>;
@group(0) @binding(4) var<storage, read> dispatch_config: array<u32, 3>;
const P64: u64 = 0xFFFFFFFF00000001lu;
// EPS64 = 2^32 - 1 = 2^64 mod P
const EPS64: u64 = 0xFFFFFFFFlu;
// Padded with a trailing zero so the internal layer can add the next round's
// constant unconditionally.
const RC_INTERNAL: array<u64, 23> = array<u64, 23>(
0x97f7798a784ad863lu, 0xd1d2bf082f60d4f0lu, 0x69a377a79f9ad206lu, 0xa9d06906a3858e24lu, 0x295275001eede5b5lu, 0x5874e441117bd746lu, 0x8a084bbba8ed86cclu, 0x3defd7645cde6425lu, 0x3998cfe6871cc137lu, 0x3e52ef8bca48314alu, 0x964a209f85dc9ecclu, 0x3fcc9ee82cc4577elu, 0x8e79b4a5d0096d6dlu, 0x8492362ad2392556lu, 0xee72f470262574d6lu, 0x1e0e18496da2444alu, 0x0f3a74bf215eaac6lu, 0x1b061b76a1c0ded3lu, 0x192c42d86803d7a6lu, 0xf6d49ff997ae0260lu, 0x3ec372e7a0fa3786lu, 0x5538cdf4f23445d3lu, 0lu
);
const RC_INITIAL: array<array<u64, 12>, 4> = array<array<u64, 12>, 4>(
array<u64, 12>(0xc002e770975b1607lu, 0xbca51a8dfe14593alu, 0x72938dfbe774f7f9lu, 0xe4f2fe29e03234aclu, 0xd5e0ba2f541b6449lu, 0xec33b868f3cc46c1lu, 0x486dcb55419d475alu, 0x6c1cb2a358cc24f1lu, 0xe3f30d509a1436bblu, 0xd9a64f068dca7c29lu, 0xe59b3f57aabba1aelu, 0x2a3dd4505b478fdclu),
array<u64, 12>(0xada1f8dc7676ed25lu, 0x2711aa8b5509d516lu, 0x4ae6acd0c9c92897lu, 0x56eb3d6b5256d67alu, 0x1f7a9d55923bf51elu, 0x3600427d397a7f68lu, 0xe5076df75b72c3d0lu, 0xfcd59aa12c6090adlu, 0xcd895e8c68b57a9elu, 0x41df7ef9d730ae3elu, 0xee3e2b889abe977dlu, 0xd29bb7edbeb9c405lu),
array<u64, 12>(0x7d5c08eef608e382lu, 0x89ae889caaf0802clu, 0xb35a8e976d2af617lu, 0xdb14234eafaf5173lu, 0x78f04462d48b1c98lu, 0x265293b0e47ce88alu, 0x999a649b69b9d32flu, 0x64b0a186698e01d3lu, 0xee0b22d0dfae8bb8lu, 0x4fd53e50ca04a7eelu, 0x5762bfe181f25047lu, 0xf51593e2beb5e3bdlu),
array<u64, 12>(0x1e5e2b5760e32477lu, 0x622462a1f9aaaeedlu, 0xaa284b3ecdb222aelu, 0x63c8e72f542bf3fclu, 0x3ba588cacb43b5e0lu, 0x23eda6f3c99150ddlu, 0xaad3bea4baac9a5alu, 0xe9da8d699b94184alu, 0xcdb13f4cd93e024clu, 0x902cbd0956f655e3lu, 0x5b4e40ffc759532flu, 0xde795c20a2357af7lu)
);
const RC_TERMINAL: array<array<u64, 12>, 4> = array<array<u64, 12>, 4>(
array<u64, 12>(0x7b72c539e0ea4c6elu, 0x144573dae2ce9976lu, 0x802028b68f35fc88lu, 0x6d36c5022c4fe7c2lu, 0xa205d0ffa9b9def3lu, 0xf6e7e38b1ea6ba2flu, 0x34f7909ae5258d64lu, 0xb0464d9d77b97fcalu, 0x64ddb9d5de7e00a6lu, 0x0ed0d75c27975d97lu, 0x1cbb36f11127338blu, 0x6673e505cfd0b6balu),
array<u64, 12>(0x605f902830872e01lu, 0x3fd5eb927e95fe4flu, 0xe81025b5a24c69cdlu, 0xf7d0ce75de23f74elu, 0xf39942b6a8585089lu, 0x6d808a08f7b71df6lu, 0xf8806b6588f49a8blu, 0x57df2d8c2a32107alu, 0x16e7c2074d654a2dlu, 0x213de241fcf33835lu, 0xb0f2b8905a0976f6lu, 0xd8e3cf2bbd355417lu),
array<u64, 12>(0xe498691679d9330flu, 0x763b45d2a3821b28lu, 0x0908bf65eb0a1f0dlu, 0x7691eb2d194b24f4lu, 0x0e43551233ae13b2lu, 0x93c393dbfc2fe76flu, 0x98f607485d48cdealu, 0xe3d95f30309819c0lu, 0x1ef581a93eaf6acflu, 0x0b24c1b7a030fca4lu, 0x624370be5670b327lu, 0x5f1e28615a11e486lu),
array<u64, 12>(0xfe04051f909e042blu, 0x7257e5b147fd3803lu, 0xe6ae134bb82f2e78lu, 0x5711fd5cf4784511lu, 0xf83a42660c08c0bclu, 0x2cd8c96d9a3ce855lu, 0x7d2ffb1bb0e17271lu, 0x85ae1528caea3811lu, 0x52a345d5c7adb0b8lu, 0x504c4c51f3faee94lu, 0xbce34a649cfccaf9lu, 0xe0a3389266fb6dc9lu)
);
const MDS_DIAG: array<u64, 12> = array<u64, 12>(
0xc3b6c08e23ba9300lu, 0xd84b5de94a324fb6lu, 0x0d0c371c5b35b84flu, 0x7964f570e7188037lu, 0x5daf18bbd996604blu, 0x6743bc47b9595257lu, 0x5528b9362c59bb70lu, 0xac45e25b7127b68blu, 0xa2077d7dfbb606b5lu, 0xf3faac6faee378aelu, 0x0c6388b51545e883lu, 0xd27dbb6944917b60lu
);
// a + b mod P in lazy form. Wrapping carries fold back via 2^64 ≡ EPS64 (mod P).
fn gf64_add(a: u64, b: u64) -> u64 {
let s0 = a + b;
let c1 = s0 < a;
let s1 = s0 + select(0lu, EPS64, c1);
let c2 = c1 && (s1 < s0);
return s1 + select(0lu, EPS64, c2);
}
// Sum accumulator: value = lo + carries * 2^64, folded once via 2^64 ≡ EPS64 (mod P).
struct Acc {
lo: u64,
carries: u32,
}
fn acc_add(a: Acc, b: u64) -> Acc {
let s = a.lo + b;
return Acc(s, a.carries + select(0u, 1u, s < a.lo));
}
fn acc_add2(a: Acc, b: Acc) -> Acc {
let s = a.lo + b.lo;
return Acc(s, a.carries + b.carries + select(0u, 1u, s < a.lo));
}
fn acc_fold(a: Acc) -> u64 {
let c = u64(a.carries);
let t = a.lo + ((c << 32u) - c);
return t + select(0lu, EPS64, t < a.lo);
}
struct U128 {
lo: u64,
hi: u64,
}
// Reduce a 128-bit value (lo + hi*2^64) mod P using
// 2^64 ≡ EPS64 and 2^96 ≡ -1 (mod P).
fn gf64_reduce(v: U128) -> u64 {
let hi_hi = v.hi >> 32u;
let hi_lo = v.hi & EPS64;
var t0 = v.lo - hi_hi;
t0 = t0 - select(0lu, EPS64, v.lo < hi_hi);
let t1 = hi_lo * EPS64;
let t2 = t0 + t1;
return t2 + select(0lu, EPS64, t2 < t0);
}
fn mul_wide(a: u64, b: u64) -> U128 {
let a_lo = a & EPS64;
let a_hi = a >> 32u;
let b_lo = b & EPS64;
let b_hi = b >> 32u;
let ll = a_lo * b_lo;
let lh = a_lo * b_hi;
let hl = a_hi * b_lo;
let hh = a_hi * b_hi;
let mid = (ll >> 32u) + (lh & EPS64) + (hl & EPS64);
return U128((mid << 32u) | (ll & EPS64), hh + (lh >> 32u) + (hl >> 32u) + (mid >> 32u));
}
// (a*b + addend) mod P for b <= 2^64 - 2^32 (all MDS_DIAG entries): the addend's
// value and carries are folded into the 128-bit product before reduction.
fn gf64_mul_add(a: u64, b: u64, addend: Acc) -> u64 {
let v = mul_wide(a, b);
let lo = v.lo + addend.lo;
return gf64_reduce(U128(lo, v.hi + u64(addend.carries) + select(0lu, 1lu, lo < v.lo)));
}
fn gf64_mul(a: u64, b: u64) -> u64 {
return gf64_reduce(mul_wide(a, b));
}
fn gf64_sqr(a: u64) -> u64 {
let a_lo = a & EPS64;
let a_hi = a >> 32u;
let ll = a_lo * a_lo;
let lh = a_lo * a_hi;
let hh = a_hi * a_hi;
let mid = (ll >> 32u) + ((lh & EPS64) << 1u);
return gf64_reduce(U128((mid << 32u) | (ll & EPS64), hh + ((lh >> 32u) << 1u) + (mid >> 32u)));
}
fn gf64_sbox(x: u64) -> u64 {
let x2 = gf64_sqr(x);
let x4 = gf64_sqr(x2);
let x6 = gf64_mul(x4, x2);
return gf64_mul(x6, x);
}
fn gf64_canon(a: u64) -> u64 {
return a - select(0lu, P64, a >= P64);
}
// 4x4 MDS circ(2, 3, 1, 1) on one chunk, results left unreduced.
fn mds4(x0: u64, x1: u64, x2: u64, x3: u64) -> array<Acc, 4> {
let t01 = acc_add(Acc(x0, 0u), x1);
let t23 = acc_add(Acc(x2, 0u), x3);
let t0123 = acc_add2(t01, t23);
let t01123 = acc_add(t0123, x1);
let t01233 = acc_add(t0123, x3);
return array<Acc, 4>(
acc_add2(t01123, t01),
acc_add2(t01123, acc_add(Acc(x2, 0u), x2)),
acc_add2(t01233, t23),
acc_add2(t01233, acc_add(Acc(x0, 0u), x0))
);
}
// External linear layer: 4x4 MDS on each chunk, then circulant sums, plus the
// next round's constants. Additions are accumulated unreduced (at most 27
// carries) and folded once per output.
fn ext_layer64(state: ptr<function, array<u64, 12>>, rc: array<u64, 12>) {
var y: array<Acc, 12>;
for (var chunk = 0u; chunk < 3u; chunk++) {
let o = chunk * 4u;
let m = mds4((*state)[o], (*state)[o + 1u], (*state)[o + 2u], (*state)[o + 3u]);
y[o] = m[0];
y[o + 1u] = m[1];
y[o + 2u] = m[2];
y[o + 3u] = m[3];
}
for (var k = 0u; k < 4u; k++) {
let s = acc_add2(acc_add2(y[k], y[k + 4u]), y[k + 8u]);
(*state)[k] = acc_fold(acc_add(acc_add2(y[k], s), rc[k]));
(*state)[k + 4u] = acc_fold(acc_add(acc_add2(y[k + 4u], s), rc[k + 4u]));
(*state)[k + 8u] = acc_fold(acc_add(acc_add2(y[k + 8u], s), rc[k + 8u]));
}
}
// Internal linear layer: diagonal matrix plus full sum, plus the next round's
// constant on element 0 (the S-box output, which is summed last).
fn int_layer64(state: ptr<function, array<u64, 12>>, rc0: u64) {
let s12 = acc_add(Acc((*state)[1], 0u), (*state)[2]);
let s34 = acc_add(Acc((*state)[3], 0u), (*state)[4]);
let s56 = acc_add(Acc((*state)[5], 0u), (*state)[6]);
let s78 = acc_add(Acc((*state)[7], 0u), (*state)[8]);
let s910 = acc_add(Acc((*state)[9], 0u), (*state)[10]);
let s1234 = acc_add2(s12, s34);
let s5678 = acc_add2(s56, s78);
let s91011 = acc_add(s910, (*state)[11]);
let sum = acc_add(acc_add2(acc_add2(s1234, s5678), s91011), (*state)[0]);
(*state)[0] = gf64_mul_add((*state)[0], MDS_DIAG[0], acc_add(sum, rc0));
(*state)[1] = gf64_mul_add((*state)[1], MDS_DIAG[1], sum);
(*state)[2] = gf64_mul_add((*state)[2], MDS_DIAG[2], sum);
(*state)[3] = gf64_mul_add((*state)[3], MDS_DIAG[3], sum);
(*state)[4] = gf64_mul_add((*state)[4], MDS_DIAG[4], sum);
(*state)[5] = gf64_mul_add((*state)[5], MDS_DIAG[5], sum);
(*state)[6] = gf64_mul_add((*state)[6], MDS_DIAG[6], sum);
(*state)[7] = gf64_mul_add((*state)[7], MDS_DIAG[7], sum);
(*state)[8] = gf64_mul_add((*state)[8], MDS_DIAG[8], sum);
(*state)[9] = gf64_mul_add((*state)[9], MDS_DIAG[9], sum);
(*state)[10] = gf64_mul_add((*state)[10], MDS_DIAG[10], sum);
(*state)[11] = gf64_mul_add((*state)[11], MDS_DIAG[11], sum);
}
fn sbox_lanes(state: ptr<function, array<u64, 12>>, lanes: u32) {
for (var i = 0u; i < lanes; i++) {
(*state)[i] = gf64_sbox((*state)[i]);
}
}
fn add_rc(state: ptr<function, array<u64, 12>>, rc: array<u64, 12>) {
for (var i = 0u; i < 12u; i++) {
(*state)[i] = gf64_add((*state)[i], rc[i]);
}
}
const RC_ZERO: array<u64, 12> = array<u64, 12>(0lu, 0lu, 0lu, 0lu, 0lu, 0lu, 0lu, 0lu, 0lu, 0lu, 0lu, 0lu);
// Constants added by each external layer, which feeds the S-box that follows it:
// entries 0..3 precede the initial rounds, entry 4 carries the first internal
// round's constant on element 0, entries 5..7 precede terminal rounds 1..3.
const RC_EXT: array<array<u64, 12>, 9> = array<array<u64, 12>, 9>(
RC_INITIAL[0], RC_INITIAL[1], RC_INITIAL[2], RC_INITIAL[3],
array<u64, 12>(RC_INTERNAL[0], 0lu, 0lu, 0lu, 0lu, 0lu, 0lu, 0lu, 0lu, 0lu, 0lu, 0lu),
RC_TERMINAL[1], RC_TERMINAL[2], RC_TERMINAL[3], RC_ZERO
);
// One loop drives all 30 rounds so each layer is emitted once: step 0 is the
// initial external layer, steps 1..4 and 27..30 are external rounds, steps
// 5..26 are internal rounds. Round constants are added by the linear layer
// preceding each S-box (the last internal layer is followed by the first
// terminal round's constants).
fn permute64(state: ptr<function, array<u64, 12>>) {
for (var k = 0u; k < 31u; k++) {
let is_ext = k < 5u || k > 26u;
if (k > 0u) {
sbox_lanes(state, select(1u, 12u, is_ext));
}
if (is_ext) {
ext_layer64(state, RC_EXT[select(k, k - 22u, k > 26u)]);
} else {
int_layer64(state, RC_INTERNAL[k - 4u]);
if (k == 26u) {
add_rc(state, RC_TERMINAL[0]);
}
}
}
}
fn bswap32(v: u32) -> u32 {
return ((v & 0xFFu) << 24u) | ((v & 0xFF00u) << 8u) | ((v >> 8u) & 0xFF00u) | (v >> 24u);
}
@compute @workgroup_size(256)
fn mining_main(@builtin(global_invocation_id) global_id: vec3<u32>) {
if (atomicLoad(&results[0]) != 0u) {
return;
}
let thread_id = global_id.x;
let total_threads = dispatch_config[0];
let nonces_per_thread = dispatch_config[1];
let total_nonces = dispatch_config[2];
if (thread_id >= total_threads) {
return;
}
let base_index = thread_id * nonces_per_thread;
// Hoist uniform storage reads out of the nonce loop
var mid: array<u64, 12>;
for (var i = 0u; i < 12u; i++) {
mid[i] = (u64(midstate[2u * i + 1u]) << 32u) | u64(midstate[2u * i]);
}
var tgt: array<u32, 16>;
for (var i = 0u; i < 16u; i++) {
tgt[i] = difficulty_target[i];
}
var nonce_base: array<u32, 16>;
for (var i = 0u; i < 16u; i++) {
nonce_base[i] = start_nonce[i];
}
for (var j = 0u; j < nonces_per_thread; j = j + 1u) {
let logical_index = base_index + j;
if (logical_index >= total_nonces) {
break;
}
if (j > 0u && atomicLoad(&results[0]) != 0u) {
return;
}
// The host guarantees a batch never carries into the high nonce half
// (limbs 8..15), so only the low 256 bits are incremented here.
var current_nonce: array<u32, 16>;
let val0 = nonce_base[0];
let sum0 = val0 + logical_index;
current_nonce[0] = sum0;
var carry = select(0u, 1u, sum0 < val0);
for (var i = 1u; i < 8u; i++) {
let val = nonce_base[i];
let sum = val + carry;
current_nonce[i] = sum;
carry = select(0u, 1u, sum < val);
}
for (var i = 8u; i < 16u; i++) {
current_nonce[i] = nonce_base[i];
}
// Resume the sponge from the precomputed midstate: absorb the low
// nonce half, pad, squeeze twice (3 permutations instead of 5).
var st = mid;
for (var i = 0u; i < 8u; i++) {
st[i] = gf64_add(st[i], u64(bswap32(current_nonce[7u - i])));
}
// Squeeze-and-compare phases share one inlined permutation: phase 0
// pads after absorbing, phase 1 yields the most significant 256 bits of
// the hash, which decide hash-vs-target on their own unless they exactly
// equal the target's high half, and only candidates run phase 2 for the
// low half. Byte-swapped hash words are produced on demand.
var hash_le: array<u32, 16>;
var cmp = 0u;
var below = false;
for (var phase = 0u; phase < 3u; phase++) {
permute64(&st);
if (phase == 0u) {
st[0] = gf64_add(st[0], 1lu);
st[1] = gf64_add(st[1], 1lu);
continue;
}
var words: array<u32, 8>;
for (var i = 0u; i < 4u; i++) {
let c = gf64_canon(st[i]);
words[2u * i] = bswap32(u32(c & EPS64));
words[2u * i + 1u] = bswap32(u32(c >> 32u));
}
let base = select(15u, 7u, phase == 2u);
for (var i = 0u; i < 8u; i++) {
hash_le[base - i] = words[i];
}
if (phase == 1u) {
for (var i = 0u; i < 8u; i++) {
let h = words[i];
let t = tgt[15u - i];
if (h != t) {
cmp = select(2u, 1u, h > t);
break;
}
}
if (cmp == 1u) {
break;
}
} else {
below = cmp == 2u;
if (!below) {
for (var i = 0u; i < 8u; i++) {
let h = words[i];
let t = tgt[7u - i];
if (h != t) {
below = h < t;
break;
}
}
}
}
}
if (cmp == 1u) {
continue;
}
if (below) {
if (atomicExchange(&results[0], 1u) == 0u) {
for (var i = 0u; i < 16u; i++) {
atomicStore(&results[1u + i], current_nonce[i]);
atomicStore(&results[17u + i], hash_le[i]);
}
}
return;
}
}
}
// ---------------------------------------------------------------------------
// Compatibility layer: same API as mining.wgsl, backed by the u64 core above.
// Only used by the component test harness; the mining kernel never calls it.
// All outputs are canonical, matching the reference implementation.
// ---------------------------------------------------------------------------
struct GoldilocksField {
limb0: u32,
limb1: u32,
}
const INTERNAL_CONSTANTS: array<array<u32, 2>, 22> = array<array<u32, 2>, 22>(
array<u32, 2>(2018170979u, 2549578122u),
array<u32, 2>(794875120u, 3520249608u),
array<u32, 2>(2677723654u, 1772320679u),
array<u32, 2>(2743438884u, 2849007878u),
array<u32, 2>(518907317u, 693269760u),
array<u32, 2>(293328710u, 1484055617u),
array<u32, 2>(2834138828u, 2315799483u),
array<u32, 2>(1558078501u, 1039128420u),
array<u32, 2>(2266808631u, 966316006u),
array<u32, 2>(3393728842u, 1045622667u),
array<u32, 2>(2245828300u, 2521440415u),
array<u32, 2>(751064958u, 1070374632u),
array<u32, 2>(3490278765u, 2390340773u),
array<u32, 2>(3526960470u, 2224174634u),
array<u32, 2>(639988950u, 4000511088u),
array<u32, 2>(1839350858u, 504240201u),
array<u32, 2>(559852230u, 255489215u),
array<u32, 2>(2713771731u, 453385078u),
array<u32, 2>(1745082278u, 422331096u),
array<u32, 2>(2544763488u, 4141129721u),
array<u32, 2>(2700752774u, 1052996327u),
array<u32, 2>(4063512019u, 1429786100u)
);
const INITIAL_EXTERNAL_CONSTANTS: array<array<array<u32, 2>, 12>, 4> = array<array<array<u32, 2>, 12>, 4>(
array<array<u32, 2>, 12>(
array<u32, 2>(2539329031u, 3221415792u),
array<u32, 2>(4262746426u, 3164936845u),
array<u32, 2>(3883202553u, 1922272763u),
array<u32, 2>(3761386668u, 3841130025u),
array<u32, 2>(1411081289u, 3588274735u),
array<u32, 2>(4090250945u, 3962812520u),
array<u32, 2>(1100826458u, 1215155029u),
array<u32, 2>(1489773809u, 1813820067u),
array<u32, 2>(2585015995u, 3824356688u),
array<u32, 2>(2378857513u, 3651555078u),
array<u32, 2>(2864423342u, 3852156759u),
array<u32, 2>(1531416540u, 708695120u)
),
array<array<u32, 2>, 12>(
array<u32, 2>(1987505445u, 2913073372u),
array<u32, 2>(1426707734u, 655469195u),
array<u32, 2>(3385403543u, 1256631504u),
array<u32, 2>(1381422714u, 1458257259u),
array<u32, 2>(2453402910u, 528129365u),
array<u32, 2>(964329320u, 905986685u),
array<u32, 2>(1534247888u, 3842469367u),
array<u32, 2>(744525997u, 4241857185u),
array<u32, 2>(1756723870u, 3448331916u),
array<u32, 2>(3610291774u, 1105166073u),
array<u32, 2>(2596181885u, 3997051784u),
array<u32, 2>(3199845381u, 3533420525u)
),
array<array<u32, 2>, 12>(
array<u32, 2>(4127777666u, 2103183598u),
array<u32, 2>(2867888172u, 2309916828u),
array<u32, 2>(1831532055u, 3009056407u),
array<u32, 2>(2947502451u, 3675530062u),
array<u32, 2>(3565886616u, 2029012066u),
array<u32, 2>(3833391242u, 642945968u),
array<u32, 2>(1773785903u, 2577032347u),
array<u32, 2>(1770914259u, 1689297286u),
array<u32, 2>(3752758200u, 3993707216u),
array<u32, 2>(3389302766u, 1339375184u),
array<u32, 2>(2180141127u, 1466089441u),
array<u32, 2>(3199591357u, 4111832034u)
),
array<array<u32, 2>, 12>(
array<u32, 2>(1625498743u, 509487959u),
array<u32, 2>(4188712685u, 1646551713u),
array<u32, 2>(3451003566u, 2854767422u),
array<u32, 2>(1412166652u, 1674110767u),
array<u32, 2>(3410212320u, 1000704202u),
array<u32, 2>(3381743837u, 602777331u),
array<u32, 2>(3131873882u, 2866003620u),
array<u32, 2>(2610174026u, 3923414377u),
array<u32, 2>(3644719692u, 3450945356u),
array<u32, 2>(1458984419u, 2418851081u),
array<u32, 2>(3344519983u, 1531855103u),
array<u32, 2>(2721413879u, 3732495392u)
)
);
const TERMINAL_EXTERNAL_CONSTANTS: array<array<array<u32, 2>, 12>, 4> = array<array<array<u32, 2>, 12>, 4>(
array<array<u32, 2>, 12>(
array<u32, 2>(3773451374u, 2071119161u),
array<u32, 2>(3805190518u, 340095962u),
array<u32, 2>(2402679944u, 2149591222u),
array<u32, 2>(743434178u, 1832305922u),
array<u32, 2>(2847530739u, 2718290175u),
array<u32, 2>(514243119u, 4142392203u),
array<u32, 2>(3844443492u, 888639642u),
array<u32, 2>(2008645578u, 2957397405u),
array<u32, 2>(3732799654u, 1692252629u),
array<u32, 2>(664231319u, 248567644u),
array<u32, 2>(287781771u, 482031345u),
array<u32, 2>(3486561978u, 1718871301u)
),
array<array<u32, 2>, 12>(
array<u32, 2>(814165505u, 1616875560u),
array<u32, 2>(2123759183u, 1070984082u),
array<u32, 2>(2722916813u, 3893372341u),
array<u32, 2>(3726899022u, 4157656693u),
array<u32, 2>(2824360073u, 4086907574u),
array<u32, 2>(4155973110u, 1837140488u),
array<u32, 2>(2297731723u, 4169165669u),
array<u32, 2>(707924090u, 1474243980u),
array<u32, 2>(1298483757u, 384287239u),
array<u32, 2>(4243798069u, 557703745u),
array<u32, 2>(1510569718u, 2968696976u),
array<u32, 2>(3174388759u, 3638808363u)
),
array<array<u32, 2>, 12>(
array<u32, 2>(2044277519u, 3835193622u),
array<u32, 2>(2743212840u, 1983595986u),
array<u32, 2>(3943309069u, 151568229u),
array<u32, 2>(424355060u, 1989274413u),
array<u32, 2>(867046322u, 239293714u),
array<u32, 2>(4230997871u, 2479068123u),
array<u32, 2>(1565052394u, 2566260552u),
array<u32, 2>(815274432u, 3822673712u),
array<u32, 2>(1051683535u, 519405993u),
array<u32, 2>(2687564964u, 186958263u),
array<u32, 2>(1450226471u, 1648586942u),
array<u32, 2>(1511122054u, 1595811937u)
),
array<array<u32, 2>, 12>(
array<u32, 2>(2426274859u, 4261676319u),
array<u32, 2>(1207777283u, 1918363057u),
array<u32, 2>(3090099832u, 3870167883u),
array<u32, 2>(4101522705u, 1460796764u),
array<u32, 2>(201900220u, 4164567654u),
array<u32, 2>(2587682901u, 752404845u),
array<u32, 2>(2967564913u, 2100296475u),
array<u32, 2>(3404347409u, 2242778408u),
array<u32, 2>(3350048952u, 1386431957u),
array<u32, 2>(4093308564u, 1347177553u),
array<u32, 2>(2633812729u, 3169012324u),
array<u32, 2>(1727753673u, 3768793234u)
)
);
fn gf_pack(g: GoldilocksField) -> u64 {
return (u64(g.limb1) << 32u) | u64(g.limb0);
}
fn gf_unpack(v: u64) -> GoldilocksField {
let c = gf64_canon(v);
return GoldilocksField(u32(c & EPS64), u32(c >> 32u));
}
fn gf_from_limbs(l0: u32, l1: u32) -> GoldilocksField {
return GoldilocksField(l0, l1);
}
fn gf_zero() -> GoldilocksField {
return GoldilocksField(0u, 0u);
}
fn gf_one() -> GoldilocksField {
return GoldilocksField(1u, 0u);
}
fn gf_from_u32(val: u32) -> GoldilocksField {
return GoldilocksField(val, 0u);
}
fn gf_from_u64_parts(low: u32, high: u32) -> GoldilocksField {
return gf_unpack((u64(high) << 32u) | u64(low));
}
fn gf_from_const(val: array<u32, 2>) -> GoldilocksField {
return gf_from_u64_parts(val[0], val[1]);
}
fn gf_add(a: GoldilocksField, b: GoldilocksField) -> GoldilocksField {
return gf_unpack(gf64_add(gf_pack(a), gf_pack(b)));
}
fn gf_mul(a: GoldilocksField, b: GoldilocksField) -> GoldilocksField {
return gf_unpack(gf64_mul(gf_pack(a), gf_pack(b)));
}
fn sbox(x: GoldilocksField) -> GoldilocksField {
return gf_unpack(gf64_sbox(gf_pack(x)));
}
fn state_pack(state: ptr<function, array<GoldilocksField, 12>>, out: ptr<function, array<u64, 12>>) {
for (var i = 0u; i < 12u; i++) {
(*out)[i] = gf_pack((*state)[i]);
}
}
fn state_unpack(v: ptr<function, array<u64, 12>>, state: ptr<function, array<GoldilocksField, 12>>) {
for (var i = 0u; i < 12u; i++) {
(*state)[i] = gf_unpack((*v)[i]);
}
}
fn external_linear_layer(state: ptr<function, array<GoldilocksField, 12>>) {
var st: array<u64, 12>;
state_pack(state, &st);
ext_layer64(&st, RC_ZERO);
state_unpack(&st, state);
}
fn internal_linear_layer(state: ptr<function, array<GoldilocksField, 12>>) {
var st: array<u64, 12>;
state_pack(state, &st);
int_layer64(&st, 0lu);
state_unpack(&st, state);
}
fn poseidon2_permute(state: ptr<function, array<GoldilocksField, 12>>) {
var st: array<u64, 12>;
state_pack(state, &st);
permute64(&st);
state_unpack(&st, state);
}
fn bytes_to_field_elements(input: array<u32, 24>) -> array<GoldilocksField, 25> {
var felts: array<GoldilocksField, 25>;
for (var i = 0u; i < 24u; i++) {
felts[i] = gf_from_u32(input[i]);
}
felts[24] = gf_one();
return felts;
}
fn field_elements_to_bytes(felts: array<GoldilocksField, 4>) -> array<u32, 8> {
var result: array<u32, 8>;
for (var i = 0u; i < 4u; i++) {
result[i * 2u] = felts[i].limb0;
result[i * 2u + 1u] = felts[i].limb1;
}
return result;
}
fn poseidon2_hash_squeeze_twice(input: array<u32, 24>) -> array<u32, 16> {
var st: array<u64, 12>;
for (var i = 0u; i < 12u; i++) {
st[i] = 0lu;
}
for (var chunk = 0u; chunk < 3u; chunk++) {
for (var i = 0u; i < 8u; i++) {
st[i] = gf64_add(st[i], u64(input[chunk * 8u + i]));
}
permute64(&st);
}
st[0] = gf64_add(st[0], 1lu);
st[1] = gf64_add(st[1], 1lu);
permute64(&st);
var result: array<u32, 16>;
for (var i = 0u; i < 4u; i++) {
let c = gf64_canon(st[i]);
result[2u * i] = u32(c & EPS64);
result[2u * i + 1u] = u32(c >> 32u);
}
permute64(&st);
for (var i = 0u; i < 4u; i++) {
let c = gf64_canon(st[i]);
result[8u + 2u * i] = u32(c & EPS64);
result[8u + 2u * i + 1u] = u32(c >> 32u);
}
return result;
}
fn hash_squeeze_twice(input: array<u32, 24>) -> array<u32, 16> {
return poseidon2_hash_squeeze_twice(input);
}
+116
View File
@@ -0,0 +1,116 @@
//! Poseidon2 mining kernels.
//!
//! Same `mining_main` bindings; must stay bit-exact with `pow_core`.
//!
//! - Apple Metal + `SHADER_INT64` → Apple Metal u64 (`mining_u64_apple.wgsl`)
//! - other GPUs + `SHADER_INT64` → native u64 (`mining_u64.wgsl`)
//! - no `SHADER_INT64` → 32-bit fallback (`mining.wgsl`)
#[derive(Clone, Copy, Debug, Eq, PartialEq)]
pub enum Kernel {
U32,
Default,
Apple,
}
impl Kernel {
pub const fn needs_int64(self) -> bool {
!matches!(self, Self::U32)
}
pub const fn id(self) -> &'static str {
match self {
Self::U32 => "u32",
Self::Default => "u64",
Self::Apple => "u64-apple",
}
}
pub const fn label(self) -> &'static str {
match self {
Self::U32 => "32-bit",
Self::Default => "native-u64",
Self::Apple => "native-u64 Apple Metal",
}
}
pub const fn source(self) -> &'static str {
match self {
Self::U32 => include_str!("mining.wgsl"),
Self::Default => include_str!("mining_u64.wgsl"),
Self::Apple => include_str!("mining_u64_apple.wgsl"),
}
}
pub fn for_adapter(adapter: &wgpu::Adapter) -> Self {
Self::for_adapter_info(&adapter.get_info(), adapter.features())
}
pub fn for_adapter_info(info: &wgpu::AdapterInfo, features: wgpu::Features) -> Self {
if !features.contains(wgpu::Features::SHADER_INT64) {
return Self::U32;
}
if info.backend == wgpu::Backend::Metal {
Self::Apple
} else {
Self::Default
}
}
pub const fn all() -> &'static [Self] {
&[Self::U32, Self::Default, Self::Apple]
}
}
#[cfg(test)]
mod tests {
use super::*;
fn info(backend: wgpu::Backend) -> wgpu::AdapterInfo {
wgpu::AdapterInfo {
name: "test".into(),
vendor: 0,
device: 0,
device_type: wgpu::DeviceType::DiscreteGpu,
driver: String::new(),
driver_info: String::new(),
backend,
}
}
#[test]
fn metal_with_int64_selects_apple() {
assert_eq!(
Kernel::for_adapter_info(&info(wgpu::Backend::Metal), wgpu::Features::SHADER_INT64),
Kernel::Apple
);
}
#[test]
fn vulkan_with_int64_selects_default() {
assert_eq!(
Kernel::for_adapter_info(&info(wgpu::Backend::Vulkan), wgpu::Features::SHADER_INT64),
Kernel::Default
);
}
#[test]
fn dx12_with_int64_selects_default() {
assert_eq!(
Kernel::for_adapter_info(&info(wgpu::Backend::Dx12), wgpu::Features::SHADER_INT64),
Kernel::Default
);
}
#[test]
fn no_int64_falls_back_to_u32() {
assert_eq!(
Kernel::for_adapter_info(&info(wgpu::Backend::Metal), wgpu::Features::empty()),
Kernel::U32
);
assert_eq!(
Kernel::for_adapter_info(&info(wgpu::Backend::Vulkan), wgpu::Features::empty()),
Kernel::U32
);
}
}
File diff suppressed because it is too large Load Diff
+132
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@@ -0,0 +1,132 @@
mod end_to_end_tests;
mod tests;
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
let instance = wgpu::Instance::new(&wgpu::InstanceDescriptor {
backends: wgpu::Backends::PRIMARY,
..Default::default()
});
let adapter = instance
.request_adapter(&wgpu::RequestAdapterOptions::default())
.await
.expect("no GPU adapter");
let mut failures = 0usize;
let has_int64 = adapter.features().contains(wgpu::Features::SHADER_INT64);
for kernel in engine_gpu::Kernel::all() {
if kernel.needs_int64() && !has_int64 {
println!(
"\nSHADER_INT64 not supported on this adapter; skipping {}",
kernel.label()
);
continue;
}
let (device, queue) = adapter
.request_device(&wgpu::DeviceDescriptor {
label: Some(kernel.label()),
required_features: if kernel.needs_int64() {
wgpu::Features::SHADER_INT64
} else {
wgpu::Features::empty()
},
..Default::default()
})
.await?;
failures += run_suite(&device, &queue, kernel.source(), kernel.label()).await;
}
if failures > 0 {
return Err(format!("{failures} test group(s) failed").into());
}
println!("\nAll tests completed!");
Ok(())
}
async fn run_suite(
device: &wgpu::Device,
queue: &wgpu::Queue,
shader_src: &str,
label: &str,
) -> usize {
println!("\n==== Running Poseidon2 GPU tests against {label} ====\n");
let mut failures = 0usize;
macro_rules! run {
($name:literal, $fut:expr) => {
if let Err(e) = $fut.await {
eprintln!("❌ {} failed: {}", $name, e);
failures += 1;
}
};
}
run!(
"gf_from_const",
tests::test_gf_from_const(device, queue, shader_src)
);
run!("gf_mul", tests::test_gf_mul(device, queue, shader_src));
run!("sbox", tests::test_sbox(device, queue, shader_src));
run!(
"mds matrix",
tests::test_mds_matrix(device, queue, shader_src)
);
run!(
"internal linear layer",
tests::test_internal_linear_layer(device, queue, shader_src)
);
run!(
"external linear layer",
tests::test_external_linear_layer(device, queue, shader_src)
);
run!(
"initial external rounds",
tests::test_poseidon2_initial_external_rounds(device, queue, shader_src)
);
run!(
"terminal external rounds",
tests::test_poseidon2_terminal_external_rounds(device, queue, shader_src)
);
run!(
"constants verification",
tests::test_poseidon2_constants_verification(device, queue, shader_src)
);
run!(
"internal constants verification",
tests::test_poseidon2_internal_constants_verification(device, queue, shader_src)
);
run!(
"internal rounds only",
tests::test_poseidon2_internal_rounds_only(device, queue, shader_src)
);
run!(
"terminal external constants verification",
tests::test_poseidon2_terminal_external_constants_verification(device, queue, shader_src)
);
run!(
"poseidon2 permutation",
tests::test_poseidon2_permutation(device, queue, shader_src)
);
run!(
"bytes to field elements",
tests::test_bytes_to_field_elements(device, queue, shader_src)
);
run!(
"field elements to bytes",
tests::test_field_elements_to_bytes(device, queue, shader_src)
);
run!(
"poseidon2 squeeze-twice",
tests::test_poseidon2_squeeze_twice(device, queue, shader_src)
);
run!(
"hash squeeze twice",
tests::test_hash_squeeze_twice(device, queue, shader_src)
);
run!(
"end-to-end mining",
end_to_end_tests::test_end_to_end_mining(device, queue, shader_src)
);
failures
}
File diff suppressed because it is too large Load Diff
-29
View File
@@ -1,29 +0,0 @@
[package]
name = "engine-montgomery"
version.workspace = true
edition.workspace = true
description = "Montgomery-optimized CPU mining engine for Quantus External Miner"
[lib]
name = "engine_montgomery"
path = "src/lib.rs"
[features]
default = []
metrics = ["dep:metrics"]
[dependencies]
# Reuse the engine trait and shared types exposed by engine-cpu
engine-cpu = { path = "../engine-cpu" }
# Access job context and core PoW math interfaces
pow-core = { path = "../pow-core" }
# Workspace-aligned deps
primitive-types = { workspace = true }
log = { workspace = true }
num-traits = { workspace = true }
metrics = { path = "../metrics", optional = true }
# Fixed-width big-integer backend for 512-bit Montgomery ops
crypto-bigint = "0.5"
-210
View File
@@ -1,210 +0,0 @@
# engine-montgomery
Montgomery-optimized CPU mining engine for the Quantus External Miner.
This crate implements the same public `MinerEngine` trait as the baseline and fast CPU engines, while replacing the per-nonce modular multiplication with a fixed-width 8×64-bit Montgomery implementation. It is selectable via the CLI flag:
- `--engine cpu-montgomery`
The engine mirrors `cpu-fast` control flow and metrics emission so that apples-to-apples comparisons can be made between engines.
Highlights:
- Fixed-width 512-bit arithmetic using 8×64-bit limbs.
- Portable CIOS (Coarsely Integrated Operand Scanning) Montgomery multiply with `u128` intermediates.
- Direct Poseidon2 over big-endian limbs to avoid intermediate big-integer conversions.
- Per-job precompute cache (Montgomery params and `m_hat`) to reduce setup overhead.
- Runtime backend selection for microarchitecture-optimized kernels (x86_64 BMI2-only and BMI2+ADX; aarch64 UMULH).
- Metrics label for backend selection to aid dashboards and A/B analysis.
---
## Algorithm Overview
QPoW distance per nonce is computed as:
1) y update (group accumulation):
- y0 = m^(h + start_nonce) mod n (one-time per worker).
- y_{k+1} = (y_k * m) mod n (one multiply per nonce).
2) Distance = target XOR Poseidon2_512(y), where y is encoded as 64 big-endian bytes.
The engine focuses on optimizing step (1) with Montgomery multiplication and reducing overhead in step (2) by hashing directly over the final big-endian representation of y (no extra big-int intermediates).
---
## Montgomery Arithmetic (512-bit, 8×64 limbs)
We implement a 512-bit Montgomery field backed by 8 little-endian 64-bit limbs. For modulus `n` (odd composite, constrained by pow-core), we precompute:
- `n0_inv = -n^{-1} mod 2^64` (using Newton–Raphson).
- `R = 2^(64*8) mod n` (implicit via representation).
- `R^2 mod n` (computed once per job using the existing big-integer reference).
- `to_mont(x) = x * R mod n = mont_mul(x, R^2)`.
- `from_mont(x̂) = x̂ * 1 mod n = mont_mul(x̂, 1)`.
The core multiply is a portable CIOS Montgomery reduction:
```
- acc <- 0
- For each limb i in a:
acc += a[i] * b
m = (acc[0] * n0_inv) mod 2^64
acc += m * n
acc = acc >> 64 (shift down one limb)
- If acc >= n: acc -= n
- return acc
```
Where `acc` is a 9-limb `u128` accumulator to simplify carries.
This yields a single multiply+reduce per nonce with a branchless inner loop (except final conditional subtract).
---
## Hashing Strategy
- We keep `y` in Montgomery domain during iteration to minimize transforms.
- Before Poseidon2, we convert the residue `ŷ` back to the normal domain via `mont_mul(ŷ, 1)` and serialize as big-endian 64 bytes.
- We reuse a single `Poseidon2Core` hasher per search call and `hash_512()` each iteration to reduce construction overhead.
This preserves consensus behavior while avoiding unnecessary big-int allocations or conversions.
---
## Backend Selection and Optimizations
At runtime, the engine selects a Montgomery multiply backend based on CPU and environment:
- Portable (default/fallback)
- `mont_mul_portable`: pure-Rust, `u128`-based CIOS.
- Available everywhere.
- x86_64 (runtime detected)
- BMI2-only (`_mulx_u64`):
- `mont_mul_bmi2`: uses BMI2 MULX to get 128-bit products efficiently.
- Single carry chain (easier to validate; broadly available on newer CPUs).
- BMI2+ADX:
- `mont_mul_bmi2_adx`: implemented using MULX + ADCX/ADOX dual carry chains for higher ILP.
- aarch64
- UMULH/ADCS:
- `mont_mul_aarch64`: implemented using UMULH for high halves and ADCS-style accumulation via 64-bit ops to reduce dependency on `u128` where beneficial.
- Default backend on Apple Silicon/macOS and Linux ARM64.
You can override backend selection for testing:
- `MINER_MONT_BACKEND=portable|bmi2|bmi2-adx|umulh`
The engine logs the selected backend (and exports it via metrics) at job start. Unsupported overrides safely fall back with a clear warning.
---
## Metrics
The engine emits the same per-job and per-thread metrics as other engines, but adds a backend info gauge:
- `miner_engine_backend{engine="cpu-montgomery", backend="<name>"} = 1`
This makes it easy to pivot in Grafana by backend.
All other metrics (hash rates, progress chunking cadence, counters) are identical to `cpu-fast` for apples-to-apples comparisons.
---
## Correctness and Tests
We keep the portable CIOS path as the ground-truth reference for optimized kernels, and we cross-check against pow-core’s BigUint-based implementations.
Property tests included:
- Portable Montgomery vs reference incremental multiply:
- `from_mont(mul(to_mont(y), to_mont(m))) == step_mul(y)` across multiple steps.
- BMI2 vs Portable:
- For randomized sequences, `bmi2` backend must match `portable` exactly at each step.
- On non-x86_64 platforms, the test still runs but both backends fall back to `portable`.
- aarch64 UMULH vs Portable:
- For randomized sequences, `aarch64-umulh` must match `portable` exactly at each step.
- On non-aarch64 platforms, both tags fall back to `portable`.
- End-to-end parity:
- `cpu-montgomery` vs `cpu-fast` on a small inclusive range (distance and winner parity; identical hash_count accounting).
We recommend running the property tests on machines with and without BMI2/ADX and on aarch64 to cover all optimized code paths.
---
## Safety
- The crate uses `#![deny(unsafe_code)]`.
- `unsafe` is scoped only to tiny backend functions:
- x86_64: `_mulx_u64` and inline asm for ADCX/ADOX dual carry chains.
- aarch64: restricted intrinsics (e.g., UMULH) behind a small boundary.
- All other code remains safe Rust.
- The portable path is always available as a fallback for correctness/regression checks.
---
## Performance Notes
- Relative gains depend on how much time the miner spends in Poseidon2 vs modular multiply.
- Direct-hash-from-residue + precompute caching already yields a measurable uplift over `cpu-fast`.
- The BMI2-only path should improve throughput on supporting x86_64 hardware.
- BMI2+ADX typically produces the highest gains on the multiply itself (often 1.5–2.0×), with end-to-end uplift bounded by Poseidon2 share per nonce.
- aarch64 UMULH/ADCS brings similar relative gains on Apple Silicon and other ARM64 platforms.
To minimize orchestration overhead in the service:
- Increase `--progress-chunk-ms` (e.g., 3000–5000) on both engines when comparing, to reduce update traffic and context switching.
---
## Runtime and CI Tips
- Selecting the engine:
- `quantus-miner --engine cpu-montgomery`
- For A/B:
- Keep workers and chunking identical across instances.
- If testing backends explicitly:
- `MINER_MONT_BACKEND=bmi2` or `bmi2-adx` on capable x86_64 hardware
- `MINER_MONT_BACKEND=umulh` on aarch64
- Check logs and metrics for the selected backend label.
- Observability:
- Ensure metrics exporter is enabled (`--metrics-port ...`) for dashboards.
- Filter or group by `engine="cpu-montgomery"` and backend metric to compare microarchitectural paths.
---
## Roadmap
- [x] Portable 8×64 CIOS (u128)
- [x] Per-job precompute cache (`n0_inv`, `R^2 mod n`, `m_hat`)
- [x] Direct Poseidon2 from normalized big-endian bytes
- [x] Backend selection with log + metric
- [x] x86_64 BMI2-only MULX kernel
- [x] x86_64 BMI2+ADX (MULX + ADCX/ADOX) dual carry chain
- [x] aarch64 UMULH/ADCS kernel (macOS/Linux ARM64)
- [ ] Optional benchmark micro-harness (ns/op for mont_mul backends)
- [ ] Extend tests with more randomized vectors and edge-case sweeps
---
## Design Rationale
- Keep the interface and metrics identical to `cpu-fast` so that any performance deltas reflect algorithmic/microarchitectural improvements rather than service overhead.
- Keep a portable, well-reviewed core (CIOS) as a correctness reference.
- Add microarchitecture-optimized kernels behind runtime dispatch and an env override for safe, controlled rollouts.
- Log and export backend selection so A/B comparisons and regressions are easy to track.
---
## Contributing
- Changes to backends should include:
- Property tests vs portable.
- End-to-end parity checks vs `cpu-fast`.
- A note in this README describing the optimization and any preconditions (e.g., required CPU features).
- Keep unsafe code minimal, private, and well-commented.
- Prefer small, focused PRs for each backend/optimization to simplify review and bisecting.
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#![deny(rust_2018_idioms)]
#![deny(unsafe_code)]
//! Montgomery-optimized CPU mining engine (scaffolding).
//!
//! Goals:
//! - Mirror the cpu-fast engine behavior and metrics (hash counts, progress cadence).
//! - Provide a drop-in engine selectable via `--engine cpu-montgomery`.
//! - Introduce a crypto-bigint based 512-bit fixed-width backend scaffold for future
//! Montgomery multiplication/reduction.
//!
//! Current state:
//! - The search loop mirrors `engine-cpu`'s `FastCpuEngine` to ensure apples-for-apples
//! metrics and correctness parity.
//! - A lightweight Montgomery scaffolding is included (conversions and parameter
//! container) using `crypto-bigint`, ready to be integrated into the hot path.
//!
//! Next steps (planned):
//! - Replace the per-step `step_mul` with Montgomery domain multiplication:
//! y_hat <- montgomery_mul(y_hat, m_hat, n, n') with y kept in Montgomery domain.
//! - Precompute `R`, `R^2`, and `n'` once per job/thread and transform inputs.
//! - Convert out of Montgomery before Poseidon2-512 distance computation.
//!
//! Important: We intentionally keep emissions (hash_count increments, control flow)
//! identical to `cpu-fast` so metrics are directly comparable when pitting
//! `--engine cpu-fast` vs `--engine cpu-montgomery`.
use core::cmp::Ordering;
use engine_cpu::EngineStatus;
use engine_cpu::{EngineCandidate as Candidate, EngineRange as Range, MinerEngine};
use pow_core::compat;
use pow_core::{init_worker_y0, is_valid_distance, JobContext};
use primitive_types::U512;
use std::collections::HashMap;
use std::sync::atomic::{AtomicBool, Ordering as AtomicOrdering};
use std::sync::{Arc, Mutex};
/// Montgomery engine for CPU.
pub struct MontgomeryCpuEngine {
#[allow(clippy::type_complexity)]
cache: Mutex<HashMap<([u8; 64], [u8; 64]), Arc<mont_portable::MontCtx>>>,
}
impl Default for MontgomeryCpuEngine {
fn default() -> Self {
Self {
cache: Mutex::new(HashMap::new()),
}
}
}
impl MontgomeryCpuEngine {
pub fn new() -> Self {
Self::default()
}
}
impl MinerEngine for MontgomeryCpuEngine {
fn name(&self) -> &'static str {
"cpu-montgomery"
}
fn prepare_context(&self, header_hash: [u8; 32], threshold: U512) -> JobContext {
// Build the standard pow-core context (m, n, target, etc).
// Montgomery parameters are computed per search call for now; we can
// later thread them through a custom context wrapper if needed.
JobContext::new(header_hash, threshold)
}
fn search_range(&self, ctx: &JobContext, range: Range, cancel: &AtomicBool) -> EngineStatus {
// NOTE: For initial integration we mirror the cpu-fast engine logic to ensure
// metrics parity and correctness, while keeping the Montgomery scaffolding
// ready for optimization in follow-ups.
if range.start > range.end {
return EngineStatus::Exhausted { hash_count: 0 };
}
// One-time init per thread: y0 = m^(h + start_nonce) mod n
let mut current = range.start;
let y0 = init_worker_y0(ctx, current);
let mut hash_count: u64 = 0;
// Initialize or reuse per-job Montgomery params and residues from cache
let mont = {
let key = (ctx.m.to_big_endian(), ctx.n.to_big_endian());
let mut guard = self.cache.lock().unwrap();
if let Some(m) = guard.get(&key) {
m.clone()
} else {
let m = Arc::new(mont_portable::MontCtx::from_ctx(ctx));
guard.insert(key, m.clone());
m
}
};
let mut y_hat = mont.to_mont_u512(&y0);
let m_hat = mont.m_hat;
loop {
// Cancellation check (fast and frequent as in cpu-fast)
if cancel.load(AtomicOrdering::Relaxed) {
return EngineStatus::Cancelled { hash_count };
}
// Compute distance from Montgomery accumulator: normalize then hash via pow-core
let y_norm = mont.from_mont_u512(&y_hat);
let distance = pow_core::distance_from_y(ctx, y_norm);
hash_count = hash_count.saturating_add(1);
if is_valid_distance(ctx, distance) {
let work = current.to_big_endian();
return EngineStatus::Found {
candidate: Candidate {
nonce: current,
work,
distance,
},
hash_count,
origin: engine_cpu::FoundOrigin::Cpu,
};
}
// Advance or finish
match current.cmp(&range.end) {
Ordering::Less => {
// Incremental step in Montgomery domain: y_hat <- y_hat * m_hat (mod n)
y_hat = mont.mul(&y_hat, &m_hat);
current = current.saturating_add(U512::one());
}
_ => {
break EngineStatus::Exhausted { hash_count };
}
}
}
}
}
/// Montgomery scaffolding with crypto-bigint.
/// This module provides conversions and parameter containers that we can use
/// to wire up a fixed-width limb backend for 512-bit operations.
mod mont_portable {
use super::*;
// Montgomery context with portable CIOS 8x64 implementation (u128 intermediates).
// Limbs are stored little-endian (limb 0 is least significant).
type MulFn = fn(&[u64; 8], &[u64; 8], &[u64; 8], u64) -> [u64; 8];
#[derive(Clone)]
pub struct MontCtx {
n: [u64; 8],
n0_inv: u64, // -n^{-1} mod 2^64
r2: [u64; 8], // R^2 mod n
pub m_hat: [u64; 8],
mul_fn: MulFn,
}
impl MontCtx {
pub fn from_ctx(ctx: &JobContext) -> Self {
let n = u512_to_le(ctx.n);
let n0_inv = mont_n0_inv(n[0]);
let r2_u512 = compat::mod_pow(&U512::from(2u32), &U512::from(1024u32), &ctx.n);
let r2 = u512_to_le(r2_u512);
let m = u512_to_le(ctx.m);
let (mul_fn, backend) = select_backend();
log::info!(target: "miner", "cpu-montgomery backend selected: {backend}");
#[cfg(feature = "metrics")]
{
metrics::set_engine_backend("cpu-montgomery", backend);
}
let m_hat = mul_fn(&m, &r2, &n, n0_inv);
MontCtx {
n,
n0_inv,
r2,
m_hat,
mul_fn,
}
}
pub fn to_mont_u512(&self, x: &U512) -> [u64; 8] {
let xl = u512_to_le(*x);
(self.mul_fn)(&xl, &self.r2, &self.n, self.n0_inv)
}
#[allow(clippy::wrong_self_convention)]
pub fn from_mont_u512(&self, x_hat: &[u64; 8]) -> U512 {
let one = {
let mut o = [0u64; 8];
o[0] = 1;
o
};
let norm_le = (self.mul_fn)(x_hat, &one, &self.n, self.n0_inv);
let norm_be = le_to_be_bytes(&norm_le);
U512::from_big_endian(&norm_be)
}
pub fn mul(&self, a_hat: &[u64; 8], b_hat: &[u64; 8]) -> [u64; 8] {
(self.mul_fn)(a_hat, b_hat, &self.n, self.n0_inv)
}
// Test-only helpers to enable forcing a specific backend and to access limb-level conversions.
// These are useful for property tests and backend A/B validations.
#[cfg(test)]
pub fn from_ctx_with_backend_tag(ctx: &JobContext, tag: &str) -> Self {
let n = u512_to_le(ctx.n);
let n0_inv = mont_n0_inv(n[0]);
let r2_u512 = compat::mod_pow(&U512::from(2u32), &U512::from(1024u32), &ctx.n);
let r2 = u512_to_le(r2_u512);
let m = u512_to_le(ctx.m);
// Choose mul_fn by tag; fall back to portable when not applicable or CPU features missing.
let (mul_fn, _backend): (MulFn, &'static str) = match tag {
"x86_64-bmi2-adx" | "bmi2-adx" => {
#[cfg(target_arch = "x86_64")]
{
if std::is_x86_feature_detected!("bmi2")
&& std::is_x86_feature_detected!("adx")
{
(mont_mul_bmi2_adx, "x86_64-bmi2-adx")
} else if std::is_x86_feature_detected!("bmi2") {
(mont_mul_bmi2, "x86_64-bmi2")
} else {
(mont_mul_portable, "portable")
}
}
#[cfg(not(target_arch = "x86_64"))]
{
(mont_mul_portable, "portable")
}
}
"x86_64-bmi2" | "bmi2" => {
#[cfg(target_arch = "x86_64")]
{
if std::is_x86_feature_detected!("bmi2") {
(mont_mul_bmi2, "x86_64-bmi2")
} else {
(mont_mul_portable, "portable")
}
}
#[cfg(not(target_arch = "x86_64"))]
{
(mont_mul_portable, "portable")
}
}
"aarch64-umulh" | "umulh" => {
#[cfg(target_arch = "aarch64")]
{
(mont_mul_aarch64, "aarch64-umulh")
}
#[cfg(not(target_arch = "aarch64"))]
{
(mont_mul_portable, "portable")
}
}
_ => (mont_mul_portable, "portable"),
};
let m_hat = mul_fn(&m, &r2, &n, n0_inv);
MontCtx {
n,
n0_inv,
r2,
m_hat,
mul_fn,
}
}
#[cfg(test)]
pub fn to_mont_le_limbs(&self, x: &U512) -> [u64; 8] {
(self.mul_fn)(&u512_to_le(*x), &self.r2, &self.n, self.n0_inv)
}
#[cfg(test)]
#[allow(clippy::wrong_self_convention)]
pub fn from_mont_le_limbs(&self, x_hat: &[u64; 8]) -> [u64; 8] {
let one = {
let mut o = [0u64; 8];
o[0] = 1;
o
};
(self.mul_fn)(x_hat, &one, &self.n, self.n0_inv)
}
}
#[inline]
fn u512_to_le(x: U512) -> [u64; 8] {
let be = x.to_big_endian();
let mut limbs = [0u64; 8];
// Split BE into 8 chunks, then reverse to get LE limb order (least-significant first).
for i in 0..8 {
let mut bytes = [0u8; 8];
bytes.copy_from_slice(&be[i * 8..(i + 1) * 8]);
limbs[i] = u64::from_be_bytes(bytes);
}
limbs.reverse();
limbs
}
#[inline]
fn le_to_be_bytes(limbs: &[u64; 8]) -> [u8; 64] {
let mut out = [0u8; 64];
for i in 0..8 {
let chunk = limbs[7 - i].to_be_bytes();
out[i * 8..(i + 1) * 8].copy_from_slice(&chunk);
}
out
}
// Compute n0_inv = -n[0]^{-1} mod 2^64 using Newton–Raphson (n[0] must be odd).
#[inline]
fn mont_n0_inv(n0: u64) -> u64 {
// Compute inverse of n0 modulo 2^64
let mut x = 1u64;
// 6 iterations suffice for 64-bit modulus
for _ in 0..6 {
let t = x.wrapping_mul(n0);
x = x.wrapping_mul(2u64.wrapping_sub(t));
}
x.wrapping_neg()
}
// Portable CIOS Montgomery multiplication: returns (a * b * R^{-1}) mod n
#[inline]
fn mont_mul_portable(a: &[u64; 8], b: &[u64; 8], n: &[u64; 8], n0_inv: u64) -> [u64; 8] {
const MASK: u128 = 0xFFFF_FFFF_FFFF_FFFFu128;
let mut acc = [0u128; 9];
for &ai_u64 in a.iter().take(8) {
// acc += ai * b
let ai = ai_u64 as u128;
let mut carry = 0u128;
for j in 0..8 {
let sum = acc[j] + ai * (b[j] as u128) + carry;
acc[j] = sum & MASK;
carry = sum >> 64;
}
acc[8] += carry;
// m = (acc[0] * n0_inv) mod 2^64
let m = ((acc[0] as u64).wrapping_mul(n0_inv)) as u128;
// acc += m * n
let mut carry2 = 0u128;
for j in 0..8 {
let sum = acc[j] + m * (n[j] as u128) + carry2;
acc[j] = sum & MASK;
carry2 = sum >> 64;
}
acc[8] += carry2;
// shift acc right by one limb
for j in 0..8 {
acc[j] = acc[j + 1];
}
acc[8] = 0;
}
// Convert acc (little-endian limbs) to u64 array
let mut res = [0u64; 8];
for j in 0..8 {
res[j] = acc[j] as u64;
}
// Conditional subtract modulus if res >= n
if ge_le(&res, n) {
sub_le_in_place(&mut res, n);
}
res
}
#[inline]
fn ge_le(a: &[u64; 8], b: &[u64; 8]) -> bool {
for i in (0..8).rev() {
if a[i] != b[i] {
return a[i] > b[i];
}
}
true
}
#[inline]
fn sub_le_in_place(a: &mut [u64; 8], b: &[u64; 8]) {
let mut borrow: u128 = 0;
for i in 0..8 {
let ai = a[i] as u128;
let bi = b[i] as u128;
let tmp = (1u128 << 64) + ai - bi - borrow;
a[i] = (tmp & 0xFFFF_FFFF_FFFF_FFFFu128) as u64;
borrow = if tmp >> 64 == 0 { 1 } else { 0 };
}
}
#[inline]
fn select_backend() -> (MulFn, &'static str) {
// Optional override via env:
// MINER_MONT_BACKEND=portable|bmi2|bmi2-adx
if let Ok(val) = std::env::var("MINER_MONT_BACKEND") {
let forced = val.to_ascii_lowercase();
#[cfg(target_arch = "x86_64")]
{
let bmi2 = std::is_x86_feature_detected!("bmi2");
let adx = std::is_x86_feature_detected!("adx");
match forced.as_str() {
"portable" => {
log::warn!(target: "miner", "cpu-montgomery backend override: forced portable");
return (mont_mul_portable, "forced-portable");
}
"bmi2-adx" | "adx" => {
if bmi2 && adx {
log::warn!(target: "miner", "cpu-montgomery backend override: forced x86_64-bmi2-adx");
return (mont_mul_bmi2_adx, "forced-x86_64-bmi2-adx");
} else if bmi2 {
log::warn!(target: "miner", "cpu-montgomery backend override requested bmi2-adx but ADX unavailable; falling back to x86_64-bmi2");
return (mont_mul_bmi2, "x86_64-bmi2");
} else {
log::warn!(target: "miner", "cpu-montgomery backend override requested bmi2-adx but BMI2/ADX unavailable; falling back to x86_64-generic");
return (mont_mul_portable, "x86_64-generic");
}
}
"bmi2" => {
if bmi2 {
log::warn!(target: "miner", "cpu-montgomery backend override: forced x86_64-bmi2");
return (mont_mul_bmi2, "forced-x86_64-bmi2");
} else {
log::warn!(target: "miner", "cpu-montgomery backend override requested bmi2 but BMI2 unavailable; falling back to x86_64-generic");
return (mont_mul_portable, "x86_64-generic");
}
}
other => {
log::warn!(target: "miner", "cpu-montgomery backend override '{other}' is not recognized on x86_64; using auto-detect");
}
}
}
#[cfg(target_arch = "aarch64")]
{
match forced.as_str() {
"portable" => {
log::warn!(target: "miner", "cpu-montgomery backend override: forced portable");
return (mont_mul_portable, "forced-portable");
}
// x86-only hints on aarch64 -> warn and ignore
"bmi2" | "bmi2-adx" | "adx" => {
log::warn!(target: "miner", "cpu-montgomery backend override '{}' not supported on aarch64; using auto-detect", forced);
}
other => {
log::warn!(target: "miner", "cpu-montgomery backend override '{}' is not recognized on aarch64; using auto-detect", other);
}
}
}
#[cfg(not(any(target_arch = "x86_64", target_arch = "aarch64")))]
{
match forced.as_str() {
"portable" => {
log::warn!(target: "miner", "cpu-montgomery backend override: forced portable");
return (mont_mul_portable, "forced-portable");
}
other => {
log::warn!(target: "miner", "cpu-montgomery backend override '{}' not supported on this arch; using auto-detect", other);
}
}
}
}
// Auto-detection (default) per architecture
#[cfg(target_arch = "x86_64")]
{
let bmi2 = std::is_x86_feature_detected!("bmi2");
if bmi2 {
(mont_mul_bmi2, "x86_64-bmi2")
} else {
(mont_mul_portable, "x86_64-generic")
}
}
#[cfg(target_arch = "aarch64")]
{
(mont_mul_aarch64, "aarch64-umulh")
}
#[cfg(not(any(target_arch = "x86_64", target_arch = "aarch64")))]
{
(mont_mul_portable, "portable")
}
}
#[cfg(target_arch = "x86_64")]
#[inline]
#[allow(unsafe_code)]
fn mont_mul_bmi2(a: &[u64; 8], b: &[u64; 8], n: &[u64; 8], n0_inv: u64) -> [u64; 8] {
// BMI2-optimized CIOS using MULX. Single carry chain with u128 accumulation.
// Limbs: little-endian (limb 0 = least significant).
use core::arch::x86_64::_mulx_u64;
const MASK: u128 = 0xFFFF_FFFF_FFFF_FFFFu128;
// 9-limb accumulator in u128 to simplify carries
let mut acc = [0u128; 9];
for &ai in a.iter().take(8) {
// acc += ai * b
let mut carry: u128 = 0;
for j in 0..8 {
let mut hi: u64 = 0;
// lo = (ai * b[j])_lo, hi = (ai * b[j])_hi
let lo = unsafe { _mulx_u64(ai, b[j], &mut hi) };
let sum = acc[j] + (lo as u128) + carry;
acc[j] = sum & MASK;
carry = (sum >> 64) + (hi as u128);
}
acc[8] += carry;
// m = (acc[0] * n0_inv) mod 2^64
let m = (acc[0] as u64).wrapping_mul(n0_inv);
// acc += m * n
let mut carry2: u128 = 0;
for j in 0..8 {
let mut hi2: u64 = 0;
let lo2 = unsafe { _mulx_u64(m, n[j], &mut hi2) };
let sum2 = acc[j] + (lo2 as u128) + carry2;
acc[j] = sum2 & MASK;
carry2 = (sum2 >> 64) + (hi2 as u128);
}
acc[8] += carry2;
// shift acc right by one limb (drop acc[0])
for j in 0..8 {
acc[j] = acc[j + 1];
}
acc[8] = 0;
}
// Convert acc to u64 limbs (little-endian)
let mut res = [0u64; 8];
for j in 0..8 {
res[j] = acc[j] as u64;
}
// Conditional subtraction: if res >= n then res -= n
if ge_le(&res, n) {
sub_le_in_place(&mut res, n);
}
res
}
#[cfg(target_arch = "x86_64")]
#[inline]
#[allow(unsafe_code)]
#[allow(unused_variables, unused_mut)]
fn mont_mul_bmi2_adx(a: &[u64; 8], b: &[u64; 8], n: &[u64; 8], n0_inv: u64) -> [u64; 8] {
// BMI2+ADX-optimized CIOS using MULX + dual carry chains (ADCX/ADOX).
// We retain the same CIOS structure as the portable path:
// - acc is a 9-limb accumulator in 64-bit limbs (little-endian)
// - For each i:
// acc += a[i] * b
// m = (acc[0] * n0_inv) mod 2^64
// acc += m * n
// acc >>= 64 (drop acc[0])
//
// The inner adds use two independent carry chains:
// - ADCX chain accumulates low halves into acc[j] (carry via CF)
// - ADOX chain accumulates high halves into a separate running carry (OF)
//
// Note: We keep the logic in Rust around the asm! blocks for readability; the hot add paths
// are emitted via inline assembly for ADX utilization.
use core::arch::x86_64::_mulx_u64;
use std::arch::asm;
let mut acc: [u64; 9] = [0; 9];
// helper: add (lo, hi) into acc[j] with dual carry chains (CF/OF)
#[inline(always)]
unsafe fn adx_accumulate(acc_j: &mut u64, lo: u64, hi: u64, of_carry: &mut u64) {
// Clear CF and OF, then do:
// acc_j += lo using ADCX (CF chain)
// of_carry += hi using ADOX (OF chain)
asm!(
// Clear CF and OF carry chains
"xor r8d, r8d",
"adcx r8, r8",
"adox r8, r8",
// acc_j = acc_j + lo + CF
"adcx {acc_j}, {lo}",
// of_carry = of_carry + hi + OF
"adox {ofc}, {hi}",
acc_j = inout(reg) *acc_j,
ofc = inout(reg) *of_carry,
lo = in(reg) lo,
hi = in(reg) hi,
out("r8") _,
options(nomem, nostack)
);
}
// helper: fold OF carry into next limb (acc[k] += of_carry)
#[inline(always)]
unsafe fn adx_fold_of(acc_k: &mut u64, of_carry: &mut u64) {
// Fold the overflow-chain carry into acc_k using ADCX with cleared CF.
asm!(
"xor r8d, r8d",
"adcx r8, r8",
"adcx {acc_k}, {ofc}",
acc_k = inout(reg) *acc_k,
ofc = inout(reg) *of_carry,
out("r8") _,
options(nomem, nostack)
);
}
for &ai in a.iter().take(8) {
// acc += ai * b
let mut of_carry: u64 = 0;
// iterate j=0..7: accumulate ai*b[j] into acc[j].. with dual chains
for j in 0..8 {
let mut hi: u64 = 0;
let lo: u64 = unsafe { _mulx_u64(ai, b[j], &mut hi) };
// acc[j] += lo (CF chain), of_carry += hi (OF chain)
unsafe { adx_accumulate(&mut acc[j], lo, hi, &mut of_carry) };
}
// Propagate remaining OF carry into acc[8]
unsafe { adx_fold_of(&mut acc[8], &mut of_carry) };
// m = (acc[0] * n0_inv) mod 2^64
let m: u64 = (acc[0]).wrapping_mul(n0_inv);
// acc += m * n
of_carry = 0;
for j in 0..8 {
let mut hi2: u64 = 0;
let lo2: u64 = unsafe { _mulx_u64(m, n[j], &mut hi2) };
// acc[j] += lo2 (CF chain), of_carry += hi2 (OF chain)
unsafe { adx_accumulate(&mut acc[j], lo2, hi2, &mut of_carry) };
}
// Propagate remaining OF carry into acc[8]
unsafe { adx_fold_of(&mut acc[8], &mut of_carry) };
// shift acc right by one limb (drop acc[0])
for j in 0..8 {
acc[j] = acc[j + 1];
}
acc[8] = 0;
}
// Conditional subtraction: if acc >= n then acc -= n
let mut res = [0u64; 8];
res.copy_from_slice(&acc[0..8]);
if ge_le(&res, n) {
sub_le_in_place(&mut res, n);
}
res
}
#[cfg(target_arch = "aarch64")]
#[inline]
#[allow(unsafe_code)]
fn mont_mul_aarch64(a: &[u64; 8], b: &[u64; 8], n: &[u64; 8], n0_inv: u64) -> [u64; 8] {
const MASK: u128 = 0xFFFF_FFFF_FFFF_FFFFu128;
let mut acc = [0u128; 9];
for &ai in a.iter().take(8) {
// acc += ai * b
let mut carry: u128 = 0;
for j in 0..8 {
// low 64-bit product
let lo = ai.wrapping_mul(b[j]);
// high 64-bit product via UMULH intrinsic
let hi = ((ai as u128) * (b[j] as u128)) >> 64;
let sum = acc[j] + (lo as u128) + carry;
acc[j] = sum & MASK;
carry = (sum >> 64) + hi;
}
acc[8] += carry;
// m = (acc[0] * n0_inv) mod 2^64
let m = (acc[0] as u64).wrapping_mul(n0_inv);
// acc += m * n
let mut carry2: u128 = 0;
for j in 0..8 {
let lo2 = m.wrapping_mul(n[j]);
let hi2 = ((m as u128) * (n[j] as u128)) >> 64;
let sum2 = acc[j] + (lo2 as u128) + carry2;
acc[j] = sum2 & MASK;
carry2 = (sum2 >> 64) + hi2;
}
acc[8] += carry2;
// shift acc right by one limb
for j in 0..8 {
acc[j] = acc[j + 1];
}
acc[8] = 0;
}
// Convert acc to result limbs
let mut res = [0u64; 8];
for j in 0..8 {
res[j] = acc[j] as u64;
}
// Conditional subtraction: if res >= n then res -= n
if ge_le(&res, n) {
sub_le_in_place(&mut res, n);
}
res
}
#[cfg(test)]
mod prop_tests {
use super::*;
use crate::MontgomeryCpuEngine;
use engine_cpu::{EngineStatus, FastCpuEngine, MinerEngine};
use pow_core::{init_worker_y0, step_mul, JobContext};
use primitive_types::U512;
use std::sync::atomic::AtomicBool;
fn u64x8_le_to_u512(le: &[u64; 8]) -> U512 {
let be = le_to_be_bytes(le);
U512::from_big_endian(&be)
}
fn make_ctx_with_header_byte(byte: u8) -> JobContext {
let mut header = [0u8; 32];
header.fill(byte);
let threshold = U512::MAX;
JobContext::new(header, threshold)
}
#[test]
fn montgomery_portable_mul_matches_step_mul() {
// Validate that mont_mul agrees with pow_core's step_mul across many steps.
let ctx = make_ctx_with_header_byte(0x5Au8);
let mont = MontCtx::from_ctx_with_backend_tag(&ctx, "portable");
let start = U512::from(12345u64);
let mut y_ref = init_worker_y0(&ctx, start);
let mut y_hat = mont.to_mont_le_limbs(&y_ref);
let m_hat = mont.m_hat;
// Walk 128 steps, comparing at each step
for _ in 0..128 {
// Reference path: y <- y * m (mod n) via pow_core BigUint
y_ref = step_mul(&ctx, y_ref);
// Montgomery path: y_hat <- y_hat * m_hat (mod n), convert out
y_hat = mont.mul(&y_hat, &m_hat);
let y_hat_norm_le = mont.from_mont_le_limbs(&y_hat);
let y_mont = u64x8_le_to_u512(&y_hat_norm_le);
assert_eq!(y_ref, y_mont, "montgomery mul mismatch vs step_mul");
}
}
#[cfg(target_arch = "x86_64")]
#[test]
fn montgomery_bmi2_equivalence_to_portable_when_available() {
// On x86_64, ensure bmi2 path produces identical results as portable for the same (a,b).
// On non-x86_64 this test still runs but both tags fall back to portable.
let ctx = make_ctx_with_header_byte(0x3Cu8);
let mont_port = MontCtx::from_ctx_with_backend_tag(&ctx, "portable");
let mont_bmi2 = MontCtx::from_ctx_with_backend_tag(&ctx, "bmi2");
let start = U512::from(999u64);
let mut y_ref = init_worker_y0(&ctx, start);
let mut y_hat_port = mont_port.to_mont_le_limbs(&y_ref);
let mut y_hat_bmi2 = mont_bmi2.to_mont_le_limbs(&y_ref);
let m_hat_port = mont_port.m_hat;
let m_hat_bmi2 = mont_bmi2.m_hat;
for _ in 0..64 {
// advance reference so values change per-iteration
y_ref = step_mul(&ctx, y_ref);
y_hat_port = mont_port.mul(&y_hat_port, &m_hat_port);
y_hat_bmi2 = mont_bmi2.mul(&y_hat_bmi2, &m_hat_bmi2);
let y_port = u64x8_le_to_u512(&mont_port.from_mont_le_limbs(&y_hat_port));
let y_bmi2 = u64x8_le_to_u512(&mont_bmi2.from_mont_le_limbs(&y_hat_bmi2));
assert_eq!(y_port, y_bmi2, "bmi2 path mismatch with portable");
}
}
#[test]
fn engine_end_to_end_matches_cpu_fast_on_small_range() {
// End-to-end parity check against cpu-fast over a small inclusive range.
let header = [0x11u8; 32];
let threshold = U512::MAX;
let ctx = JobContext::new(header, threshold);
let range = crate::Range {
start: U512::from(0u64),
end: U512::from(500u64),
};
let cancel = AtomicBool::new(false);
let mont = MontgomeryCpuEngine::new();
let fast = FastCpuEngine::new();
let s_m = mont.search_range(&ctx, range.clone(), &cancel);
let s_f = fast.search_range(&ctx, range.clone(), &cancel);
match (s_m, s_f) {
(
EngineStatus::Found {
candidate: cm,
hash_count: hm,
origin: _,
},
EngineStatus::Found {
candidate: cf,
hash_count: hf,
origin: _,
},
) => {
assert_eq!(cm.nonce, cf.nonce, "nonce mismatch");
assert_eq!(cm.distance, cf.distance, "distance mismatch");
assert_eq!(hm, hf, "hash_count mismatch");
}
(
EngineStatus::Exhausted { hash_count: hm },
EngineStatus::Exhausted { hash_count: hf },
) => {
assert_eq!(hm, hf, "hash_count mismatch on Exhausted");
}
(m, f) => panic!("expected matching status, got mont={m:?}, fast={f:?}"),
}
}
#[cfg(target_arch = "aarch64")]
#[test]
fn montgomery_aarch64_equivalence_to_portable_when_available() {
// On aarch64, ensure UMULH/ADCS path matches portable. On other arches this test
// still runs but both tags fall back to portable.
let ctx = make_ctx_with_header_byte(0x77u8);
let mont_port = MontCtx::from_ctx_with_backend_tag(&ctx, "portable");
let mont_arm = MontCtx::from_ctx_with_backend_tag(&ctx, "aarch64-umulh");
let start = U512::from(4242u64);
let mut y_ref = init_worker_y0(&ctx, start);
let mut y_hat_port = mont_port.to_mont_le_limbs(&y_ref);
let mut y_hat_arm = mont_arm.to_mont_le_limbs(&y_ref);
let m_hat_port = mont_port.m_hat;
let m_hat_arm = mont_arm.m_hat;
for _ in 0..64 {
// advance reference so values change per-iteration
y_ref = step_mul(&ctx, y_ref);
y_hat_port = mont_port.mul(&y_hat_port, &m_hat_port);
y_hat_arm = mont_arm.mul(&y_hat_arm, &m_hat_arm);
let y_port = u64x8_le_to_u512(&mont_port.from_mont_le_limbs(&y_hat_port));
let y_arm = u64x8_le_to_u512(&mont_arm.from_mont_le_limbs(&y_hat_arm));
assert_eq!(y_port, y_arm, "aarch64 umulh path mismatch with portable");
}
}
}
}
#[cfg(test)]
mod tests {
use super::*;
use std::sync::atomic::AtomicBool;
fn make_ctx() -> JobContext {
let header = [1u8; 32];
let threshold = U512::MAX; // permissive threshold for "found" parity test
JobContext::new(header, threshold)
}
#[test]
fn montgomery_engine_matches_fast_engine_on_small_range() {
let ctx = make_ctx();
let range = Range {
start: U512::from(0u64),
end: U512::from(100u64),
};
let cancel = AtomicBool::new(false);
let mont = MontgomeryCpuEngine::new();
let fast = engine_cpu::FastCpuEngine::new();
let m_status = mont.search_range(&ctx, range.clone(), &cancel);
let f_status = fast.search_range(&ctx, range.clone(), &cancel);
match (m_status, f_status) {
(
EngineStatus::Found {
candidate: m_cand,
hash_count: m_hashes,
origin: _,
},
EngineStatus::Found {
candidate: f_cand,
hash_count: f_hashes,
origin: _,
},
) => {
assert_eq!(
m_cand.nonce, f_cand.nonce,
"engines disagreed on winning nonce"
);
assert_eq!(
m_cand.distance, f_cand.distance,
"engines disagreed on distance"
);
assert_eq!(m_hashes, f_hashes, "engines disagreed on hash_count");
}
(m, f) => panic!("expected Found/Found, got montgomery={m:?}, fast={f:?}"),
}
}
#[test]
fn engine_returns_exhausted_when_no_solution_in_range() {
// Very strict threshold to avoid solutions in a tiny range.
let header = [2u8; 32];
let threshold = U512::zero();
let ctx = JobContext::new(header, threshold);
let range = Range {
start: U512::from(1u64),
end: U512::from(1000u64),
};
let cancel = AtomicBool::new(false);
let eng = MontgomeryCpuEngine::new();
let status = eng.search_range(&ctx, range.clone(), &cancel);
match status {
EngineStatus::Exhausted { hash_count } => {
// Inclusive range length = end - start + 1
let expected = (range.end - range.start + U512::one()).as_u64();
assert_eq!(hash_count, expected, "hash_count should equal range length");
}
other => panic!("expected Exhausted, got {other:?}"),
}
}
#[test]
fn engine_respects_immediate_cancellation() {
let ctx = make_ctx();
let range = Range {
start: U512::from(0u64),
end: U512::from(1_000_000u64),
};
let cancel = AtomicBool::new(true); // cancelled before starting
let eng = MontgomeryCpuEngine::new();
let status = eng.search_range(&ctx, range, &cancel);
match status {
EngineStatus::Cancelled { hash_count } => {
assert_eq!(hash_count, 0, "expected no work when cancelled immediately");
}
other => panic!("expected Cancelled, got {other:?}"),
}
}
}
+2 -6
View File
@@ -6,11 +6,9 @@ publish = false
description = "Metrics and Prometheus exporter utilities for the Quantus External Miner"
[features]
# Provide a Registry by default; HTTP exporter is opt-in.
default = ["registry"]
registry = []
default = []
# Enable a Warp-based HTTP exporter (used when --metrics-port is provided).
http-exporter = ["dep:serde", "dep:serde_json", "dep:tokio", "dep:warp"]
http-exporter = ["dep:tokio", "dep:warp"]
[dependencies]
anyhow = { workspace = true }
@@ -21,5 +19,3 @@ prometheus = { version = "0.13", default-features = false }
# Optional HTTP exporter stack (enabled via `http-exporter` feature)
warp = { workspace = true, optional = true }
tokio = { workspace = true, features = ["full"], optional = true }
serde = { workspace = true, features = ["derive"], optional = true }
serde_json = { workspace = true, optional = true }
+211 -578
View File
@@ -1,59 +1,91 @@
#![deny(rust_2018_idioms)]
#![forbid(unsafe_code)]
//! Minimal metrics scaffolding for the Quantus External Miner.
//! Minimal metrics for the Quantus External Miner.
//!
//! - Provides a global Prometheus registry and a handful of default metrics.
//! - Exposes helper functions to update metrics from the service layer.
//! - Optionally runs a Warp-based HTTP endpoint (/metrics) when the
//! `http-exporter` feature is enabled. This is gated at runtime by
//! the presence of a metrics port in the CLI (`--metrics-port`).
//! Exposes a small set of Prometheus metrics for monitoring mining performance:
//! - `miner_hash_rate`: Total hash rate (CPU + GPU combined)
//! - `miner_cpu_hash_rate`: CPU-only hash rate
//! - `miner_gpu_hash_rate`: GPU-only hash rate
//! - `miner_hashes_total`: Total hashes computed (all time)
//! - `miner_active_jobs`: Currently running jobs (0 or 1)
//! - `miner_workers`: Total worker count
//! - `miner_cpu_workers`: Number of CPU workers
//! - `miner_gpu_devices`: Number of GPU devices
//! - `miner_effective_cpus`: Detected CPU cores
//!
//! Default metrics:
//! - miner_jobs_total{status} : number of jobs by terminal state
//! - miner_hashes_total : total nonces tested
//! - miner_hash_rate : current estimated hash rate (nonces/sec)
//! - miner_http_requests_total{code,endpoint} : HTTP request counts for miner API
//!
//! Notes:
//! - The HTTP exporter is spawned as a background task and does not block.
//! - If the `http-exporter` feature is disabled, `start_http_exporter` becomes
//! a no-op that returns immediately.
//! - When jobs/threads end, prefer removing gauge label children (series) rather than
//! writing a zero; this avoids scrape-timing artifacts and produces cleaner rollups.
//! - Service-level observability: expose an `active_jobs` gauge and a `mine_requests_total`
//! counter (labeled by result) to disambiguate "idle because no jobs" vs "actively mining".
//! Optionally runs a Warp-based HTTP endpoint (`/metrics`) when the
//! `http-exporter` feature is enabled.
use once_cell::sync::Lazy;
use prometheus::{
opts, Encoder, Gauge, GaugeVec, IntCounter, IntCounterVec, IntGauge, IntGaugeVec, Registry,
TextEncoder,
};
use prometheus::{IntCounter, IntGauge, Registry};
use std::sync::Mutex;
use std::time::Instant;
#[cfg(feature = "http-exporter")]
use {
anyhow::Result,
prometheus::{Encoder, TextEncoder},
std::net::SocketAddr,
warp::{http::Response, Filter},
warp::Filter,
};
#[cfg(not(feature = "http-exporter"))]
use anyhow::Result;
use std::collections::{HashMap, HashSet};
use std::sync::Mutex;
use std::thread;
use std::time::{Duration, Instant};
// -------------------------------------------------------------------------------------
// Global Registry and Default Metrics
// -------------------------------------------------------------------------------------
// ---------------------------------------------------------------------------
// Global Registry
// ---------------------------------------------------------------------------
static REGISTRY: Lazy<Registry> = Lazy::new(Registry::new);
// -------------------------------------------------------------------------------------
// High-level service metrics
// -------------------------------------------------------------------------------------
// ---------------------------------------------------------------------------
// Hash Rate Metrics
// ---------------------------------------------------------------------------
static HASH_RATE: Lazy<IntGauge> = Lazy::new(|| {
let g = IntGauge::new("miner_hash_rate", "Total hash rate in hashes per second")
.expect("create miner_hash_rate");
REGISTRY
.register(Box::new(g.clone()))
.expect("register miner_hash_rate");
g
});
static CPU_HASH_RATE: Lazy<IntGauge> = Lazy::new(|| {
let g = IntGauge::new("miner_cpu_hash_rate", "CPU hash rate in hashes per second")
.expect("create miner_cpu_hash_rate");
REGISTRY
.register(Box::new(g.clone()))
.expect("register miner_cpu_hash_rate");
g
});
static GPU_HASH_RATE: Lazy<IntGauge> = Lazy::new(|| {
let g = IntGauge::new("miner_gpu_hash_rate", "GPU hash rate in hashes per second")
.expect("create miner_gpu_hash_rate");
REGISTRY
.register(Box::new(g.clone()))
.expect("register miner_gpu_hash_rate");
g
});
// ---------------------------------------------------------------------------
// Counter Metrics
// ---------------------------------------------------------------------------
static HASHES_TOTAL: Lazy<IntCounter> = Lazy::new(|| {
let c = IntCounter::new("miner_hashes_total", "Total hashes computed")
.expect("create miner_hashes_total");
REGISTRY
.register(Box::new(c.clone()))
.expect("register miner_hashes_total");
c
});
// ---------------------------------------------------------------------------
// Gauge Metrics
// ---------------------------------------------------------------------------
static ACTIVE_JOBS: Lazy<IntGauge> = Lazy::new(|| {
let g = IntGauge::new(
@@ -67,25 +99,37 @@ static ACTIVE_JOBS: Lazy<IntGauge> = Lazy::new(|| {
g
});
static ENGINE_BACKEND_INFO: Lazy<GaugeVec> = Lazy::new(|| {
let g = GaugeVec::new(
opts!(
"miner_engine_backend",
"Engine backend info (label-only gauge set to 1). Labels: engine, backend"
),
&["engine", "backend"],
)
.expect("create miner_engine_backend");
static WORKERS: Lazy<IntGauge> = Lazy::new(|| {
let g = IntGauge::new("miner_workers", "Total number of worker threads")
.expect("create miner_workers");
REGISTRY
.register(Box::new(g.clone()))
.expect("register miner_engine_backend");
.expect("register miner_workers");
g
});
static CPU_WORKERS: Lazy<IntGauge> = Lazy::new(|| {
let g = IntGauge::new("miner_cpu_workers", "Number of CPU worker threads")
.expect("create miner_cpu_workers");
REGISTRY
.register(Box::new(g.clone()))
.expect("register miner_cpu_workers");
g
});
static GPU_DEVICES: Lazy<IntGauge> = Lazy::new(|| {
let g = IntGauge::new("miner_gpu_devices", "Number of GPU devices")
.expect("create miner_gpu_devices");
REGISTRY
.register(Box::new(g.clone()))
.expect("register miner_gpu_devices");
g
});
static EFFECTIVE_CPUS: Lazy<IntGauge> = Lazy::new(|| {
let g = IntGauge::new(
"miner_effective_cpus",
"Detected logical CPU capacity available to this process (cpuset-aware)",
"Detected logical CPU cores available to this process",
)
.expect("create miner_effective_cpus");
REGISTRY
@@ -94,583 +138,172 @@ static EFFECTIVE_CPUS: Lazy<IntGauge> = Lazy::new(|| {
g
});
static MINE_REQUESTS_TOTAL: Lazy<IntCounterVec> = Lazy::new(|| {
let c = IntCounterVec::new(
opts!(
"miner_mine_requests_total",
"Count of /mine requests by result"
),
&["result"], // accepted, duplicate, invalid, error
)
.expect("create miner_mine_requests_total");
REGISTRY
.register(Box::new(c.clone()))
.expect("register miner_mine_requests_total");
c
});
// ---------------------------------------------------------------------------
// Hash Rate Tracking
// ---------------------------------------------------------------------------
static JOBS_TOTAL: Lazy<IntCounterVec> = Lazy::new(|| {
let c = IntCounterVec::new(
opts!("miner_jobs_total", "Number of jobs by status"),
&["status"],
)
.expect("create miner_jobs_total");
REGISTRY
.register(Box::new(c.clone()))
.expect("register miner_jobs_total");
c
});
static HASHES_TOTAL: Lazy<IntCounter> = Lazy::new(|| {
let c = IntCounter::new("miner_hashes_total", "Total nonces tested")
.expect("create miner_hashes_total");
REGISTRY
.register(Box::new(c.clone()))
.expect("register miner_hashes_total");
c
});
static HASH_RATE: Lazy<Gauge> = Lazy::new(|| {
let g =
Gauge::new("miner_hash_rate", "Estimated hash rate (nonces per second)").expect("create");
REGISTRY
.register(Box::new(g.clone()))
.expect("register miner_hash_rate");
g
});
static HTTP_REQUESTS_TOTAL: Lazy<IntCounterVec> = Lazy::new(|| {
let c = IntCounterVec::new(
opts!(
"miner_http_requests_total",
"HTTP requests count by endpoint and status code"
),
&["endpoint", "code"],
)
.expect("create miner_http_requests_total");
REGISTRY
.register(Box::new(c.clone()))
.expect("register miner_http_requests_total");
c
});
/// Access the global Prometheus registry used by this crate.
// Engine-aware, per-job, and per-thread labeled metrics
pub fn set_effective_cpus(n: i64) {
EFFECTIVE_CPUS.set(n);
/// Tracks cumulative hashes to compute rolling hash rates.
///
/// The hash rate is computed as total_hashes / elapsed_time since mining started.
/// Call `reset()` when a new mining session begins to get accurate rates.
struct HashRateTracker {
/// Cumulative CPU hashes since last reset
cpu_total: u64,
/// Cumulative GPU hashes since last reset
gpu_total: u64,
/// When tracking started - set via reset() when mining begins
start_time: Option<Instant>,
}
static JOB_HASHES_TOTAL: Lazy<IntCounterVec> = Lazy::new(|| {
let c = IntCounterVec::new(
opts!(
"miner_job_hashes_total",
"Total nonces tested per job and engine"
),
&["engine", "job_id"],
)
.expect("create miner_job_hashes_total");
REGISTRY
.register(Box::new(c.clone()))
.expect("register miner_job_hashes_total");
c
});
impl HashRateTracker {
fn new() -> Self {
Self {
cpu_total: 0,
gpu_total: 0,
start_time: None,
}
}
static JOB_HASH_RATE: Lazy<GaugeVec> = Lazy::new(|| {
let g = GaugeVec::new(
opts!(
"miner_job_hash_rate",
"Estimated hash rate (nonces per second) per job and engine"
),
&["engine", "job_id"],
)
.expect("create miner_job_hash_rate");
REGISTRY
.register(Box::new(g.clone()))
.expect("register miner_job_hash_rate");
g
});
/// Reset the tracker - call this when a new mining session starts.
fn reset(&mut self) {
self.cpu_total = 0;
self.gpu_total = 0;
self.start_time = Some(Instant::now());
}
static JOB_ESTIMATED_RATE: Lazy<GaugeVec> = Lazy::new(|| {
let g = GaugeVec::new(
opts!(
"miner_job_estimated_rate",
"Estimated work rate (nonces per second) per engine and backend"
),
&["engine", "backend"],
)
.expect("create miner_job_estimated_rate");
REGISTRY
.register(Box::new(g.clone()))
.expect("register miner_job_estimated_rate");
g
});
fn record_cpu(&mut self, hashes: u64) {
self.cpu_total += hashes;
self.update_rates();
}
static CANDIDATES_FOUND_TOTAL: Lazy<IntCounterVec> = Lazy::new(|| {
let c = IntCounterVec::new(
opts!(
"miner_candidates_found_total",
"Total candidates found per job and engine"
),
&["engine", "job_id"],
)
.expect("create miner_candidates_found_total");
REGISTRY
.register(Box::new(c.clone()))
.expect("register miner_candidates_found_total");
c
});
fn record_gpu(&mut self, hashes: u64) {
self.gpu_total += hashes;
self.update_rates();
}
static CANDIDATES_FALSE_POSITIVE_TOTAL: Lazy<IntCounterVec> = Lazy::new(|| {
let c = IntCounterVec::new(
opts!(
"miner_candidates_false_positive_total",
"Total false-positive candidates rejected by host re-verification per engine"
),
&["engine"],
)
.expect("create miner_candidates_false_positive_total");
REGISTRY
.register(Box::new(c.clone()))
.expect("register miner_candidates_false_positive_total");
c
});
static SAMPLE_MISMATCH_TOTAL: Lazy<IntCounterVec> = Lazy::new(|| {
let c = IntCounterVec::new(
opts!(
"miner_sample_mismatch_total",
"Total decision parity mismatches between engine and host per engine"
),
&["engine"],
)
.expect("create miner_sample_mismatch_total");
REGISTRY
.register(Box::new(c.clone()))
.expect("register miner_sample_mismatch_total");
c
});
static MISSED_WINNER_TOTAL: Lazy<IntCounter> = Lazy::new(|| {
let c = IntCounter::new(
"miner_gpu_g2_missed_winner_total",
"Host detected a winner in G2 batch sample but device did not flag early-exit",
)
.expect("create miner_gpu_g2_missed_winner_total");
REGISTRY
.register(Box::new(c.clone()))
.expect("register miner_gpu_g2_missed_winner_total");
c
});
static FOUND_BY_ORIGIN_TOTAL: Lazy<IntCounterVec> = Lazy::new(|| {
let c = IntCounterVec::new(
opts!(
"miner_found_by_origin_total",
"Count of candidates found by origin per engine"
),
&["engine", "origin"],
)
.expect("create miner_found_by_origin_total");
REGISTRY
.register(Box::new(c.clone()))
.expect("register miner_found_by_origin_total");
c
});
static THREAD_HASHES_TOTAL: Lazy<IntCounterVec> = Lazy::new(|| {
let c = IntCounterVec::new(
opts!(
"miner_thread_hashes_total",
"Total nonces tested per thread, job, and engine"
),
&["engine", "job_id", "thread_id"],
)
.expect("create miner_thread_hashes_total");
REGISTRY
.register(Box::new(c.clone()))
.expect("register miner_thread_hashes_total");
c
});
static THREAD_HASH_RATE: Lazy<GaugeVec> = Lazy::new(|| {
let g = GaugeVec::new(
opts!(
"miner_thread_hash_rate",
"Estimated hash rate (nonces per second) per thread, job, and engine"
),
&["engine", "job_id", "thread_id"],
)
.expect("create miner_thread_hash_rate");
REGISTRY
.register(Box::new(g.clone()))
.expect("register miner_thread_hash_rate");
g
});
static JOBS_BY_ENGINE_TOTAL: Lazy<IntCounterVec> = Lazy::new(|| {
let c = IntCounterVec::new(
opts!(
"miner_jobs_by_engine_total",
"Number of jobs by engine and terminal status"
),
&["engine", "status"],
)
.expect("create miner_jobs_by_engine_total");
REGISTRY
.register(Box::new(c.clone()))
.expect("register miner_jobs_by_engine_total");
c
});
static JOB_STATUS_GAUGE: Lazy<IntGaugeVec> = Lazy::new(|| {
let g = IntGaugeVec::new(
opts!(
"miner_job_status",
"Job status gauge (set to 1 for current status)"
),
&["engine", "job_id", "status"],
)
.expect("create miner_job_status");
REGISTRY
.register(Box::new(g.clone()))
.expect("register miner_job_status");
g
});
static JOB_FOUND_ORIGIN: Lazy<GaugeVec> = Lazy::new(|| {
let g = GaugeVec::new(
opts!(
"miner_job_found_origin",
"Job found origin gauge (set to 1 for the origin that found the candidate)"
),
&["engine", "job_id", "origin"],
)
.expect("create miner_job_found_origin");
REGISTRY
.register(Box::new(g.clone()))
.expect("register miner_job_found_origin");
g
});
pub fn default_registry() -> &'static Registry {
&REGISTRY
fn update_rates(&self) {
if let Some(start) = self.start_time {
let elapsed = start.elapsed().as_secs_f64();
// Require at least 0.1 seconds of data for meaningful rate
if elapsed >= 0.1 {
let cpu_rate = (self.cpu_total as f64 / elapsed) as i64;
let gpu_rate = (self.gpu_total as f64 / elapsed) as i64;
CPU_HASH_RATE.set(cpu_rate);
GPU_HASH_RATE.set(gpu_rate);
HASH_RATE.set(cpu_rate + gpu_rate);
}
}
}
}
// -------------------------------------------------------------------------------------
// Update Helpers (to be called from the service layer)
// -------------------------------------------------------------------------------------
static HASH_TRACKER: Lazy<Mutex<HashRateTracker>> =
Lazy::new(|| Mutex::new(HashRateTracker::new()));
/// Increment the total hashes counter by `n` (number of nonces tested).
// Labeled helpers for engine/job/thread metrics
//
// Service-level helpers
pub fn set_active_jobs(n: i64) {
ACTIVE_JOBS.set(n);
// ---------------------------------------------------------------------------
// Public API - Hash Recording
// ---------------------------------------------------------------------------
/// Reset the hash rate tracker - call this when mining starts.
/// This resets the cumulative hash counts and starts a fresh timing window.
pub fn reset_hash_tracker() {
if let Ok(mut tracker) = HASH_TRACKER.lock() {
tracker.reset();
}
}
pub fn set_engine_backend(engine: &str, backend: &str) {
ENGINE_BACKEND_INFO
.with_label_values(&[engine, backend])
.set(1.0);
/// Record CPU hashes and update hash rate metrics.
pub fn record_cpu_hashes(n: u64) {
HASHES_TOTAL.inc_by(n);
if let Ok(mut tracker) = HASH_TRACKER.lock() {
tracker.record_cpu(n);
}
}
pub fn inc_mine_requests(result: &str) {
MINE_REQUESTS_TOTAL.with_label_values(&[result]).inc();
/// Record GPU hashes and update hash rate metrics.
pub fn record_gpu_hashes(n: u64) {
HASHES_TOTAL.inc_by(n);
if let Ok(mut tracker) = HASH_TRACKER.lock() {
tracker.record_gpu(n);
}
}
pub fn inc_job_hashes(engine: &str, job_id: &str, n: u64) {
touch_job(engine, job_id);
JOB_HASHES_TOTAL
.with_label_values(&[engine, job_id])
.inc_by(n);
// ---------------------------------------------------------------------------
// Public API - Hash Rates (for direct setting, kept for compatibility)
// ---------------------------------------------------------------------------
/// Set the total hash rate (CPU + GPU combined).
pub fn set_hash_rate(rate: i64) {
HASH_RATE.set(rate);
}
pub fn set_job_hash_rate(engine: &str, job_id: &str, rate: f64) {
touch_job(engine, job_id);
JOB_HASH_RATE.with_label_values(&[engine, job_id]).set(rate);
/// Set the CPU-only hash rate.
pub fn set_cpu_hash_rate(rate: i64) {
CPU_HASH_RATE.set(rate);
}
pub fn set_job_estimated_rate_backend(engine: &str, backend: &str, rate: f64) {
JOB_ESTIMATED_RATE
.with_label_values(&[engine, backend])
.set(rate);
/// Set the GPU-only hash rate.
pub fn set_gpu_hash_rate(rate: i64) {
GPU_HASH_RATE.set(rate);
}
pub fn set_job_estimated_rate(engine: &str, _job_id: &str, rate: f64) {
// Compatibility shim: map per-job series to backend="unknown" to avoid cardinality growth
JOB_ESTIMATED_RATE
.with_label_values(&[engine, "unknown"])
.set(rate);
}
pub fn inc_candidates_found(engine: &str, job_id: &str) {
touch_job(engine, job_id);
CANDIDATES_FOUND_TOTAL
.with_label_values(&[engine, job_id])
.inc();
}
pub fn inc_candidates_false_positive(engine: &str) {
CANDIDATES_FALSE_POSITIVE_TOTAL
.with_label_values(&[engine])
.inc();
}
pub fn inc_sample_mismatch(engine: &str) {
SAMPLE_MISMATCH_TOTAL.with_label_values(&[engine]).inc();
}
pub fn inc_found_by_origin(engine: &str, origin: &str) {
FOUND_BY_ORIGIN_TOTAL
.with_label_values(&[engine, origin])
.inc();
}
pub fn inc_gpu_g2_missed_winner() {
MISSED_WINNER_TOTAL.inc();
}
pub fn set_job_found_origin(engine: &str, job_id: &str, origin: &str) {
touch_job(engine, job_id);
JOB_FOUND_ORIGIN
.with_label_values(&[engine, job_id, origin])
.set(1.0);
}
pub fn job_estimated_rate_backend(engine: &str, backend: &str, rate: f64) {
JOB_ESTIMATED_RATE
.with_label_values(&[engine, backend])
.set(rate);
}
pub fn job_estimated_rate(engine: &str, _job_id: &str, rate: f64) {
// Compatibility shim: prefer new API using backend; fallback to backend="unknown"
JOB_ESTIMATED_RATE
.with_label_values(&[engine, "unknown"])
.set(rate);
}
pub fn inc_thread_hashes(engine: &str, job_id: &str, thread_id: &str, n: u64) {
THREAD_HASHES_TOTAL
.with_label_values(&[engine, job_id, thread_id])
.inc_by(n);
}
pub fn set_thread_hash_rate(engine: &str, job_id: &str, thread_id: &str, rate: f64) {
touch_thread(engine, job_id, thread_id);
THREAD_HASH_RATE
.with_label_values(&[engine, job_id, thread_id])
.set(rate);
}
pub fn inc_jobs_by_engine(engine: &str, status: &str) {
JOBS_BY_ENGINE_TOTAL
.with_label_values(&[engine, status])
.inc();
}
pub fn set_job_status_gauge(engine: &str, job_id: &str, status: &str, value: i64) {
touch_job(engine, job_id);
JOB_STATUS_GAUGE
.with_label_values(&[engine, job_id, status])
.set(value);
}
// ---------------------------------------------------------------------------
// Public API - Counters (kept for compatibility)
// ---------------------------------------------------------------------------
/// Increment the total hashes counter (without updating rates).
/// Prefer `record_cpu_hashes` or `record_gpu_hashes` instead.
pub fn inc_hashes(n: u64) {
HASHES_TOTAL.inc_by(n);
}
/// Set the current estimated hash rate (nonces per second).
pub fn set_hash_rate(rate: f64) {
HASH_RATE.set(rate);
// ---------------------------------------------------------------------------
// Public API - Gauges
// ---------------------------------------------------------------------------
/// Set the number of active jobs (0 or 1).
pub fn set_active_jobs(n: i64) {
ACTIVE_JOBS.set(n);
}
/// Increment the jobs counter for a terminal status: completed | failed | cancelled.
pub fn inc_job_status(status: &str) {
JOBS_TOTAL.with_label_values(&[status]).inc();
/// Set the total number of workers.
pub fn set_workers(n: i64) {
WORKERS.set(n);
}
/// Increment HTTP request counters for an endpoint with a status code.
pub fn inc_http_request(endpoint: &str, code: u16) {
HTTP_REQUESTS_TOTAL
.with_label_values(&[endpoint, &code.to_string()])
.inc();
/// Set the number of CPU workers.
pub fn set_cpu_workers(n: i64) {
CPU_WORKERS.set(n);
}
// -------------------------------------------------------------------------------------
// Removal helpers for end-of-life series
// -------------------------------------------------------------------------------------
const METRICS_TTL_SECS: u64 = 300;
const JANITOR_INTERVAL_SECS: u64 = 60;
type JobKey = (String, String); // (engine, job_id)
type ThreadKey = (String, String, String); // (engine, job_id, thread_id)
static JOB_KEYS: Lazy<Mutex<HashSet<JobKey>>> = Lazy::new(|| Mutex::new(HashSet::new()));
static JOB_LAST: Lazy<Mutex<HashMap<JobKey, Instant>>> = Lazy::new(|| Mutex::new(HashMap::new()));
static THREAD_KEYS: Lazy<Mutex<HashSet<ThreadKey>>> = Lazy::new(|| Mutex::new(HashSet::new()));
static THREAD_LAST: Lazy<Mutex<HashMap<ThreadKey, Instant>>> =
Lazy::new(|| Mutex::new(HashMap::new()));
static JANITOR_INIT: Lazy<()> = Lazy::new(|| {
thread::spawn(|| loop {
thread::sleep(Duration::from_secs(JANITOR_INTERVAL_SECS));
prune_stale();
});
});
fn prune_stale() {
let now = Instant::now();
// Jobs
let mut to_remove_jobs: Vec<JobKey> = Vec::new();
{
let last = JOB_LAST.lock().unwrap();
for (k, ts) in last.iter() {
if now.duration_since(*ts).as_secs() > METRICS_TTL_SECS {
to_remove_jobs.push(k.clone());
}
}
}
for (engine, job_id) in to_remove_jobs {
let _ = JOB_HASHES_TOTAL.remove_label_values(&[&engine, &job_id]);
let _ = JOB_HASH_RATE.remove_label_values(&[&engine, &job_id]);
let _ = CANDIDATES_FOUND_TOTAL.remove_label_values(&[&engine, &job_id]);
let _ = JOB_STATUS_GAUGE.remove_label_values(&[&engine, &job_id, "completed"]);
let _ = JOB_STATUS_GAUGE.remove_label_values(&[&engine, &job_id, "failed"]);
let _ = JOB_STATUS_GAUGE.remove_label_values(&[&engine, &job_id, "cancelled"]);
// Remove per-job origin gauge variants (known origins)
let _ = JOB_FOUND_ORIGIN.remove_label_values(&[&engine, &job_id, "cpu"]);
let _ = JOB_FOUND_ORIGIN.remove_label_values(&[&engine, &job_id, "gpu-g1"]);
let _ = JOB_FOUND_ORIGIN.remove_label_values(&[&engine, &job_id, "gpu-g2"]);
JOB_KEYS
.lock()
.unwrap()
.remove(&(engine.clone(), job_id.clone()));
JOB_LAST.lock().unwrap().remove(&(engine, job_id));
}
// Threads
let mut to_remove_threads: Vec<ThreadKey> = Vec::new();
{
let last = THREAD_LAST.lock().unwrap();
for (k, ts) in last.iter() {
if now.duration_since(*ts).as_secs() > METRICS_TTL_SECS {
to_remove_threads.push(k.clone());
}
}
}
for (engine, job_id, thread_id) in to_remove_threads {
let _ = THREAD_HASHES_TOTAL.remove_label_values(&[&engine, &job_id, &thread_id]);
let _ = THREAD_HASH_RATE.remove_label_values(&[&engine, &job_id, &thread_id]);
THREAD_KEYS
.lock()
.unwrap()
.remove(&(engine.clone(), job_id.clone(), thread_id.clone()));
THREAD_LAST
.lock()
.unwrap()
.remove(&(engine, job_id, thread_id));
}
/// Set the number of GPU devices.
pub fn set_gpu_devices(n: i64) {
GPU_DEVICES.set(n);
}
fn touch_job(engine: &str, job_id: &str) {
*JANITOR_INIT; // ensure janitor starts
let key = (engine.to_string(), job_id.to_string());
JOB_KEYS.lock().unwrap().insert(key.clone());
JOB_LAST.lock().unwrap().insert(key, Instant::now());
/// Set the detected CPU core count.
pub fn set_effective_cpus(n: i64) {
EFFECTIVE_CPUS.set(n);
}
fn touch_thread(engine: &str, job_id: &str, thread_id: &str) {
*JANITOR_INIT; // ensure janitor starts
let key = (
engine.to_string(),
job_id.to_string(),
thread_id.to_string(),
);
THREAD_KEYS.lock().unwrap().insert(key.clone());
THREAD_LAST.lock().unwrap().insert(key, Instant::now());
}
// ---------------------------------------------------------------------------
// HTTP Exporter
// ---------------------------------------------------------------------------
/// Explicitly remove all job-scoped metrics for a job (call on job completion)
pub fn remove_job_metrics(engine: &str, job_id: &str) {
let _ = JOB_HASHES_TOTAL.remove_label_values(&[engine, job_id]);
let _ = JOB_HASH_RATE.remove_label_values(&[engine, job_id]);
let _ = CANDIDATES_FOUND_TOTAL.remove_label_values(&[engine, job_id]);
let _ = JOB_STATUS_GAUGE.remove_label_values(&[engine, job_id, "completed"]);
let _ = JOB_STATUS_GAUGE.remove_label_values(&[engine, job_id, "failed"]);
let _ = JOB_STATUS_GAUGE.remove_label_values(&[engine, job_id, "cancelled"]);
// Remove per-job origin gauge variants (known origins)
let _ = JOB_FOUND_ORIGIN.remove_label_values(&[engine, job_id, "cpu"]);
let _ = JOB_FOUND_ORIGIN.remove_label_values(&[engine, job_id, "gpu-g1"]);
let _ = JOB_FOUND_ORIGIN.remove_label_values(&[engine, job_id, "gpu-g2"]);
JOB_KEYS
.lock()
.unwrap()
.remove(&(engine.to_string(), job_id.to_string()));
JOB_LAST
.lock()
.unwrap()
.remove(&(engine.to_string(), job_id.to_string()));
}
/// Explicitly remove all thread-scoped metrics for a job
pub fn remove_thread_metrics_for_job(engine: &str, job_id: &str) {
// Collect matching thread keys
let keys: Vec<ThreadKey> = {
let set = THREAD_KEYS.lock().unwrap();
set.iter()
.filter(|(e, j, _)| e == engine && j == job_id)
.cloned()
.collect()
};
for (e, j, t) in keys {
let _ = THREAD_HASHES_TOTAL.remove_label_values(&[&e, &j, &t]);
let _ = THREAD_HASH_RATE.remove_label_values(&[&e, &j, &t]);
THREAD_KEYS
.lock()
.unwrap()
.remove(&(e.clone(), j.clone(), t.clone()));
THREAD_LAST
.lock()
.unwrap()
.remove(&(e.clone(), j.clone(), t.clone()));
}
}
/// Remove the per-job hash rate series for a finished job.
pub fn remove_job_hash_rate(engine: &str, job_id: &str) {
let _ = JOB_HASH_RATE.remove_label_values(&[engine, job_id]);
}
/// Remove the per-thread hash rate series for a finished thread.
pub fn remove_thread_hash_rate(engine: &str, job_id: &str, thread_id: &str) {
let _ = THREAD_HASH_RATE.remove_label_values(&[engine, job_id, thread_id]);
}
// -------------------------------------------------------------------------------------
// HTTP Exporter (feature: http-exporter)
// -------------------------------------------------------------------------------------
/// Start the Prometheus HTTP exporter on 0.0.0.0:`port`.
/// Start the Prometheus HTTP exporter on `0.0.0.0:port`.
///
/// Behavior:
/// - Spawns the exporter as a background task and returns immediately.
/// - Serves plaintext metrics at GET /metrics.
/// - If called multiple times, multiple servers may be created (call once).
/// Spawns the exporter as a background task and returns immediately.
/// Serves plaintext metrics at `GET /metrics`.
#[cfg(feature = "http-exporter")]
pub async fn start_http_exporter(port: u16) -> Result<()> {
// Encoder is created inside the handler to avoid capturing non-Clone state
// Use REGISTRY.gather() directly in the handler
// GET /metrics -> plaintext Prometheus format
let metrics_route = warp::path("metrics").and(warp::get()).map(|| {
let encoder = TextEncoder::new();
let metric_families = REGISTRY.gather();
let mut buffer = Vec::with_capacity(16 * 1024);
let mut buffer = Vec::with_capacity(4096);
encoder
.encode(&metric_families, &mut buffer)
.unwrap_or_default();
Response::builder()
warp::http::Response::builder()
.header("Content-Type", encoder.format_type())
.body(String::from_utf8(buffer).unwrap_or_default())
});
@@ -683,7 +316,7 @@ pub async fn start_http_exporter(port: u16) -> Result<()> {
Ok(())
}
// If the exporter feature is not enabled, expose a no-op to keep call sites simple.
/// No-op when HTTP exporter feature is disabled.
#[cfg(not(feature = "http-exporter"))]
pub async fn start_http_exporter(_port: u16) -> Result<()> {
log::warn!(
+7 -4
View File
@@ -5,16 +5,19 @@ edition.workspace = true
publish = false
description = "CLI binary to run the Quantus External Miner service"
[features]
default = []
cuda = ["miner-service/cuda"]
[dependencies]
miner-service = { path = "../miner-service" }
metrics = { path = "../metrics", features = ["http-exporter"] }
quic-transport = { path = "../quic-transport" }
clap = { workspace = true, features = ["derive", "env"] }
tokio = { workspace = true, features = ["full"] }
env_logger = { workspace = true }
log = { workspace = true }
engine-cpu = { path = "../engine-cpu" }
engine-gpu = { path = "../engine-gpu" }
primitive-types = { workspace = true }
rand = { workspace = true }
num_cpus = { workspace = true }
[[bin]]
name = "quantus-miner"
-134
View File
@@ -1,134 +0,0 @@
use std::env;
use std::fs;
use std::io::{self, Read};
use std::path::{Path, PathBuf};
fn main() {
// Always re-run if version env or git state might change
println!("cargo:rerun-if-env-changed=CARGO_PKG_VERSION");
println!("cargo:rerun-if-env-changed=GITHUB_SHA");
println!("cargo:rerun-if-changed=.git/HEAD");
println!("cargo:rerun-if-changed=.git/refs");
println!("cargo:rerun-if-changed=.git/packed-refs");
let pkg_version = env::var("CARGO_PKG_VERSION").unwrap_or_else(|_| "0.0.0".to_string());
let short_sha = match env::var("GITHUB_SHA") {
Ok(s) => s.get(0..8).map(|t| t.to_string()),
Err(_) => discover_short_git_sha().ok(),
};
let version = match short_sha {
Some(sha) if !sha.is_empty() => format!("{pkg_version}+{sha}"),
_ => pkg_version.clone(),
};
// Expose to the crate as an env! binding
println!("cargo:rustc-env=MINER_VERSION={version}");
// Optional extra info for diagnostics
if let Ok(sha) = env::var("GITHUB_SHA") {
println!("cargo:rustc-env=MINER_BUILD_SHA={}", sha);
}
// Log the computed version for debugging
println!("miner-cli: computed MINER_VERSION={version}");
}
/// Attempts to determine the short git SHA (first 8 hex chars) without requiring the `git` binary.
/// Handles both normal repositories and worktrees where `.git` is a file pointing to the real gitdir.
fn discover_short_git_sha() -> io::Result<String> {
let git_dir = find_git_dir()?;
let head_path = git_dir.join("HEAD");
let head = fs::read_to_string(&head_path)?.trim().to_string();
// HEAD can be either a direct SHA or a ref: refs/heads/branch
if let Some(ref_line) = head.strip_prefix("ref: ") {
let ref_path = git_dir.join(ref_line.trim());
if ref_path.is_file() {
let mut contents = String::new();
fs::File::open(ref_path)?.read_to_string(&mut contents)?;
let sha = contents.trim();
return Ok(shorten_sha(sha));
}
// Not a loose ref; try packed-refs
let packed = git_dir.join("packed-refs");
if packed.is_file() {
let contents = fs::read_to_string(packed)?;
for line in contents.lines() {
// Skip comments and peeled lines
if line.starts_with('#') || line.starts_with('^') || line.trim().is_empty() {
continue;
}
// Format: <sha> <ref>
if let Some((sha, r)) = line.split_once(' ') {
if r.trim() == ref_line.trim() {
return Ok(shorten_sha(sha.trim()));
}
}
}
}
Err(io::Error::new(
io::ErrorKind::NotFound,
format!(
"Could not resolve ref '{}' in {:?}",
ref_line.trim(),
git_dir
),
))
} else {
// HEAD contained a SHA directly (e.g., detached HEAD)
Ok(shorten_sha(head.trim()))
}
}
/// Finds the actual .git directory, handling both:
/// - Standard repo: a ".git" directory exists, or
/// - Worktree/submodule: ".git" is a file containing "gitdir: <path>"
fn find_git_dir() -> io::Result<PathBuf> {
let mut dir = env::current_dir()?;
loop {
let dot_git = dir.join(".git");
if dot_git.is_dir() {
return Ok(dot_git);
} else if dot_git.is_file() {
// Read the pointer file
let contents = fs::read_to_string(&dot_git)?;
if let Some(p) = contents.strip_prefix("gitdir:") {
let p = p.trim();
let path = Path::new(p);
// If relative, it's relative to the location of the .git file's parent
let resolved = if path.is_absolute() {
path.to_path_buf()
} else {
dir.join(path)
};
if resolved.is_dir() {
return Ok(resolved);
} else {
return Err(io::Error::new(
io::ErrorKind::NotFound,
format!("Resolved gitdir does not exist: {}", resolved.display()),
));
}
}
}
// Ascend until root
if !dir.pop() {
break;
}
}
Err(io::Error::new(
io::ErrorKind::NotFound,
"Could not locate .git directory",
))
}
fn shorten_sha(full: &str) -> String {
let s = full.trim();
if s.len() >= 8 {
s[..8].to_string()
} else {
s.to_string()
}
}
+476 -167
View File
@@ -1,187 +1,496 @@
use clap::{Parser, ValueEnum};
use miner_service::{run, EngineSelection, ServiceConfig};
use clap::{Parser, Subcommand};
use engine_cpu::{AtomicBoolCancelCheck, EngineRange, MinerEngine};
use miner_service::{run, ServiceConfig};
use primitive_types::U512;
use rand::RngCore;
use std::path::PathBuf;
use std::sync::atomic::AtomicBool;
use std::sync::Arc;
use std::thread;
use std::time::{Duration, Instant};
// CLI defaults
const DEFAULT_GPU_BATCH_SIZE: u32 = 1_000_000;
const DEFAULT_CPU_BATCH_SIZE: u64 = 10_000;
#[derive(Subcommand, Debug)]
enum Command {
/// Run the mining service
Serve {
/// Address of the node to connect to
#[arg(long, env = "MINER_NODE_ADDR", default_value = "127.0.0.1:9833")]
node_addr: std::net::SocketAddr,
/// Shared auth token from the node's `miner-auth-token` file
/// (`<base-path>/chains/<chain>/miner-auth-token`). Prefer `--auth-token-file`.
#[arg(long, env = "MINER_AUTH_TOKEN", conflicts_with = "auth_token_file")]
auth_token: Option<String>,
/// Path to the node's `miner-auth-token` file (trimmed). Preferred over
/// `--auth-token` so the secret is not placed on the command line.
#[arg(long, env = "MINER_AUTH_TOKEN_FILE", conflicts_with = "auth_token")]
auth_token_file: Option<PathBuf>,
/// SHA-256 fingerprint of the node's miner TLS certificate (64 hex chars).
/// Prefer `--tls-cert-sha256-file` pointing at `miner-tls-cert-sha256`
/// (the node also logs this fingerprint).
#[arg(
long,
env = "MINER_TLS_CERT_SHA256",
conflicts_with = "tls_cert_sha256_file"
)]
tls_cert_sha256: Option<String>,
/// Path to the node's `miner-tls-cert-sha256` file.
#[arg(
long,
env = "MINER_TLS_CERT_SHA256_FILE",
conflicts_with = "tls_cert_sha256"
)]
tls_cert_sha256_file: Option<PathBuf>,
/// Number of CPU worker threads to use for mining (default: auto-detect)
#[arg(long = "cpu-workers", env = "MINER_CPU_WORKERS")]
cpu_workers: Option<usize>,
/// Number of GPU devices to use for mining (default: auto-detect)
#[arg(long = "gpu-devices", env = "MINER_GPU_DEVICES")]
gpu_devices: Option<usize>,
/// GPU batch size in nonces - controls how often GPU checks for cancellation
#[arg(long = "gpu-batch-size", env = "MINER_GPU_BATCH_SIZE", default_value_t = DEFAULT_GPU_BATCH_SIZE, value_parser = clap::value_parser!(u32).range(1..))]
gpu_batch_size: u32,
/// CPU batch size in hashes - controls how often CPU checks for cancellation
#[arg(long = "cpu-batch-size", env = "MINER_CPU_BATCH_SIZE", default_value_t = DEFAULT_CPU_BATCH_SIZE, value_parser = clap::value_parser!(u64).range(1..))]
cpu_batch_size: u64,
/// Port for Prometheus metrics HTTP endpoint (default: 9900)
#[arg(
long = "metrics-port",
env = "MINER_METRICS_PORT",
default_value_t = 9900
)]
metrics_port: u16,
/// GPU throttle delay in milliseconds between batches (0 = no throttle)
#[arg(
long = "gpu-throttle-ms",
env = "MINER_GPU_THROTTLE_MS",
default_value_t = 0
)]
gpu_throttle_ms: u64,
/// Allow integrated GPUs (APUs) even when discrete GPUs are available.
/// By default, integrated GPUs are skipped when a discrete GPU is present
/// to avoid resource contention and driver instability.
#[arg(long = "allow-integrated", env = "MINER_ALLOW_INTEGRATED")]
allow_integrated: bool,
/// Enable verbose logging
#[arg(short, long, env = "MINER_VERBOSE")]
verbose: bool,
},
/// Run a quick benchmark of the mining engines
Benchmark {
/// Number of CPU workers to use for benchmark
#[arg(long = "cpu-workers", env = "MINER_CPU_WORKERS")]
cpu_workers: Option<usize>,
/// Number of GPU devices to use for benchmark
#[arg(long = "gpu-devices", env = "MINER_GPU_DEVICES")]
gpu_devices: Option<usize>,
/// GPU batch size in nonces - controls how often GPU checks for cancellation
#[arg(long = "gpu-batch-size", env = "MINER_GPU_BATCH_SIZE", default_value_t = DEFAULT_GPU_BATCH_SIZE, value_parser = clap::value_parser!(u32).range(1..))]
gpu_batch_size: u32,
/// CPU batch size in hashes - controls how often CPU checks for cancellation
#[arg(long = "cpu-batch-size", env = "MINER_CPU_BATCH_SIZE", default_value_t = DEFAULT_CPU_BATCH_SIZE, value_parser = clap::value_parser!(u64).range(1..))]
cpu_batch_size: u64,
/// Benchmark duration in seconds (default: 10)
#[arg(short, long, default_value_t = 10)]
duration: u64,
/// Allow integrated GPUs (APUs) even when discrete GPUs are available
#[arg(long = "allow-integrated", env = "MINER_ALLOW_INTEGRATED")]
allow_integrated: bool,
/// Enable verbose logging
#[arg(short, long, env = "MINER_VERBOSE")]
verbose: bool,
},
}
/// Quantus External Miner CLI
#[derive(Parser, Debug)]
#[command(author, version = option_env!("MINER_VERSION").unwrap_or(env!("CARGO_PKG_VERSION")), about, long_about = None)]
#[command(author, version, about, long_about = None)]
struct Args {
/// Port number to listen on for the miner HTTP API
#[arg(short, long, env = "MINER_PORT", default_value_t = 9833)]
port: u16,
/// Number of worker threads (logical CPUs) to use for mining (defaults to all available)
#[arg(long = "workers", env = "MINER_WORKERS")]
workers: Option<usize>,
/// Optional Prometheus metrics exporter port; if omitted, metrics are disabled
#[arg(long, env = "MINER_METRICS_PORT")]
metrics_port: Option<u16>,
/// Target milliseconds for per-thread progress updates (chunking).
/// Smaller values increase metrics freshness but add a bit of overhead.
#[arg(long = "progress-chunk-ms", env = "MINER_PROGRESS_CHUNK_MS")]
progress_chunk_ms: Option<u64>,
/// For cpu-chain-manipulator: start throttle index at this many solved blocks
/// to "pick up where we left off" after restarts.
#[arg(long = "manip-solved-blocks", env = "MINER_MANIP_SOLVED_BLOCKS")]
manip_solved_blocks: Option<u64>,
/// For cpu-chain-manipulator: base sleep per batch in nanoseconds (default 500_000 ns)
#[arg(long = "manip-base-delay-ns", env = "MINER_MANIP_BASE_DELAY_NS")]
manip_base_delay_ns: Option<u64>,
/// For cpu-chain-manipulator: number of nonce attempts between sleeps (default 10_000)
#[arg(long = "manip-step-batch", env = "MINER_MANIP_STEP_BATCH")]
manip_step_batch: Option<u64>,
/// For cpu-chain-manipulator: optional cap on solved-blocks throttle index
#[arg(long = "manip-throttle-cap", env = "MINER_MANIP_THROTTLE_CAP")]
manip_throttle_cap: Option<u64>,
/// Mining engine to use (default: cpu-fast).
/// Options: cpu-baseline, cpu-fast, cpu-chain-manipulator, cpu-montgomery, gpu-cuda, gpu-opencl
/// Note: GPU engines are currently unimplemented and will return a clear error at runtime.
#[arg(long, env = "MINER_ENGINE", value_enum, default_value_t = EngineCli::CpuFast)]
engine: EngineCli,
/// Telemetry endpoints (repeat --telemetry-endpoint or comma-separated)
#[arg(long = "telemetry-endpoint", env = "MINER_TELEMETRY_ENDPOINTS", value_delimiter = ',', num_args = 0.., value_name = "URL")]
telemetry_endpoints: Option<Vec<String>>,
/// Enable or disable telemetry explicitly
#[arg(long = "telemetry-enabled", env = "MINER_TELEMETRY_ENABLED")]
telemetry_enabled: Option<bool>,
/// Telemetry verbosity level (0..=4 typical)
#[arg(long = "telemetry-verbosity", env = "MINER_TELEMETRY_VERBOSITY")]
telemetry_verbosity: Option<u8>,
/// Interval seconds for system.interval messages
#[arg(
long = "telemetry-interval-secs",
env = "MINER_TELEMETRY_INTERVAL_SECS"
)]
telemetry_interval_secs: Option<u64>,
/// Default association: chain name
#[arg(long = "telemetry-chain", env = "MINER_TELEMETRY_CHAIN")]
telemetry_chain: Option<String>,
/// Default association: genesis hash (hex)
#[arg(long = "telemetry-genesis", env = "MINER_TELEMETRY_GENESIS")]
telemetry_genesis: Option<String>,
/// Default association: node telemetry id
#[arg(long = "telemetry-node-id", env = "MINER_TELEMETRY_NODE_ID")]
telemetry_node_id: Option<String>,
/// Default association: node libp2p peer id
#[arg(long = "telemetry-node-peer-id", env = "MINER_TELEMETRY_NODE_PEER_ID")]
telemetry_node_peer_id: Option<String>,
/// Default association: node name
#[arg(long = "telemetry-node-name", env = "MINER_TELEMETRY_NODE_NAME")]
telemetry_node_name: Option<String>,
/// Default association: node version
#[arg(long = "telemetry-node-version", env = "MINER_TELEMETRY_NODE_VERSION")]
telemetry_node_version: Option<String>,
}
#[allow(clippy::enum_variant_names)]
#[derive(Copy, Clone, Debug, Eq, PartialEq, ValueEnum)]
enum EngineCli {
/// Baseline CPU engine (reference implementation)
CpuBaseline,
/// Optimized CPU engine (incremental precompute + step_mul)
CpuFast,
/// Montgomery-optimized CPU engine (fixed-width 512-bit ops)
CpuMontgomery,
/// Throttling CPU engine that slows per block to help reduce difficulty
CpuChainManipulator,
/// CUDA GPU engine (unimplemented; selecting will return an error)
GpuCuda,
/// OpenCL GPU engine (unimplemented; selecting will return an error)
GpuOpencl,
}
impl From<EngineCli> for EngineSelection {
fn from(value: EngineCli) -> Self {
match value {
EngineCli::CpuBaseline => EngineSelection::CpuBaseline,
EngineCli::CpuFast => EngineSelection::CpuFast,
EngineCli::CpuMontgomery => EngineSelection::CpuMontgomery,
EngineCli::CpuChainManipulator => EngineSelection::CpuChainManipulator,
EngineCli::GpuCuda => EngineSelection::GpuCuda,
EngineCli::GpuOpencl => EngineSelection::GpuOpenCl,
}
}
#[command(subcommand)]
command: Option<Command>,
}
#[tokio::main]
async fn main() {
let args = Args::parse();
// Initialize logger early to capture startup messages.
// If RUST_LOG is not set, default to info level for our app.
if std::env::var("RUST_LOG").is_err() {
std::env::set_var("RUST_LOG", "info");
}
env_logger::init();
let Some(command) = args.command else {
eprintln!("Error: No command provided. Use 'serve' to start mining (defaults to local node at 127.0.0.1:9833).");
eprintln!(
"Example: quantus-miner serve --node-addr 127.0.0.1:9833 \
--auth-token-file /path/to/miner-auth-token \
--tls-cert-sha256-file /path/to/miner-tls-cert-sha256"
);
std::process::exit(1);
};
// Telemetry CLI passthrough to env for miner-service bootstrap
if let Some(eps) = args.telemetry_endpoints.as_ref() {
if !eps.is_empty() {
std::env::set_var("MINER_TELEMETRY_ENDPOINTS", eps.join(","));
match command {
Command::Serve {
node_addr,
auth_token,
auth_token_file,
tls_cert_sha256,
tls_cert_sha256_file,
cpu_workers,
gpu_devices,
gpu_batch_size,
cpu_batch_size,
gpu_throttle_ms,
metrics_port,
allow_integrated,
verbose,
} => {
init_logger(verbose);
let auth_token = match resolve_auth_token(auth_token, auth_token_file) {
Ok(token) => token,
Err(e) => {
eprintln!("Error: {e}");
std::process::exit(1);
}
};
let tls_cert_sha256 =
match resolve_tls_cert_sha256(tls_cert_sha256, tls_cert_sha256_file) {
Ok(fp) => fp,
Err(e) => {
eprintln!("Error: {e}");
std::process::exit(1);
}
};
// Fail closed on permanent misconfig before metrics/workers start.
if let Err(e) = quic_transport::validate_auth_config(&auth_token, &tls_cert_sha256) {
eprintln!("Error: {e}");
std::process::exit(1);
}
log::info!("Starting external miner service...");
// Start metrics HTTP server
if let Err(e) = metrics::start_http_exporter(metrics_port).await {
log::error!("Failed to start metrics exporter: {e:?}");
std::process::exit(1);
}
log::info!(
"Metrics available at http://0.0.0.0:{}/metrics",
metrics_port
);
let config = ServiceConfig {
node_addr,
auth_token,
tls_cert_sha256,
cpu_workers,
gpu_devices,
gpu_batch_size,
cpu_batch_size,
gpu_throttle_ms,
allow_integrated,
};
if let Err(e) = run(config).await {
log::error!("Miner service terminated with error: {e:?}");
std::process::exit(1);
}
}
Command::Benchmark {
cpu_workers,
gpu_devices,
gpu_batch_size,
cpu_batch_size,
duration,
allow_integrated,
verbose,
} => {
init_logger(verbose);
run_benchmark(
cpu_workers,
gpu_devices,
gpu_batch_size,
cpu_batch_size,
duration,
allow_integrated,
)
.await;
}
}
if let Some(v) = args.telemetry_enabled {
std::env::set_var("MINER_TELEMETRY_ENABLED", if v { "1" } else { "0" });
}
if let Some(v) = args.telemetry_verbosity {
std::env::set_var("MINER_TELEMETRY_VERBOSITY", v.to_string());
}
if let Some(v) = args.telemetry_interval_secs {
std::env::set_var("MINER_TELEMETRY_INTERVAL_SECS", v.to_string());
}
if let Some(v) = args.telemetry_chain.as_ref() {
std::env::set_var("MINER_TELEMETRY_CHAIN", v);
}
if let Some(v) = args.telemetry_genesis.as_ref() {
std::env::set_var("MINER_TELEMETRY_GENESIS", v);
}
if let Some(v) = args.telemetry_node_id.as_ref() {
std::env::set_var("MINER_TELEMETRY_NODE_ID", v);
}
if let Some(v) = args.telemetry_node_peer_id.as_ref() {
std::env::set_var("MINER_TELEMETRY_NODE_PEER_ID", v);
}
if let Some(v) = args.telemetry_node_name.as_ref() {
std::env::set_var("MINER_TELEMETRY_NODE_NAME", v);
}
if let Some(v) = args.telemetry_node_version.as_ref() {
std::env::set_var("MINER_TELEMETRY_NODE_VERSION", v);
}
}
// Log effective configuration (concise; see ServiceConfig Display)
log::info!("Starting external miner service...");
fn resolve_auth_token(
auth_token: Option<String>,
auth_token_file: Option<PathBuf>,
) -> Result<String, String> {
resolve_required_secret(
auth_token,
auth_token_file,
"--auth-token",
"--auth-token-file",
"miner auth token required: pass --auth-token-file <PATH> to the node's \
miner-auth-token file (or --auth-token <TOKEN>)",
)
}
let config = ServiceConfig {
port: args.port,
workers: args.workers,
metrics_port: args.metrics_port,
progress_chunk_ms: args.progress_chunk_ms,
manip_solved_blocks: args.manip_solved_blocks,
manip_base_delay_ns: args.manip_base_delay_ns,
manip_step_batch: args.manip_step_batch,
manip_throttle_cap: args.manip_throttle_cap,
engine: args.engine.into(),
fn resolve_tls_cert_sha256(value: Option<String>, file: Option<PathBuf>) -> Result<String, String> {
resolve_required_secret(
value,
file,
"--tls-cert-sha256",
"--tls-cert-sha256-file",
"TLS cert fingerprint required: pass --tls-cert-sha256-file <PATH> to the node's \
miner-tls-cert-sha256 file (or --tls-cert-sha256 <HEX>; also printed in node logs)",
)
}
fn resolve_required_secret(
value: Option<String>,
file: Option<PathBuf>,
value_flag: &str,
file_flag: &str,
missing_msg: &str,
) -> Result<String, String> {
if let Some(value) = value {
let value = value.trim().to_string();
if value.is_empty() {
return Err(format!("{value_flag} is empty"));
}
return Ok(value);
}
if let Some(path) = file {
let contents = std::fs::read_to_string(&path)
.map_err(|e| format!("failed to read {file_flag} {}: {}", path.display(), e))?;
let value = contents.trim().to_string();
if value.is_empty() {
return Err(format!("{file_flag} {} is empty", path.display()));
}
return Ok(value);
}
Err(missing_msg.into())
}
fn init_logger(verbose: bool) {
if std::env::var("RUST_LOG").is_err() {
// Filter out noisy wgpu/naga shader compilation logs
let log_level = if verbose {
"debug,miner=debug,gpu_engine=debug,engine_cpu=debug,wgpu=warn,wgpu_core=warn,wgpu_hal=warn,naga=warn"
} else {
"info,miner=info,gpu_engine=info,wgpu=error,wgpu_core=error,wgpu_hal=error,naga=error"
};
std::env::set_var("RUST_LOG", log_level);
}
env_logger::init();
}
async fn run_benchmark(
cpu_workers: Option<usize>,
gpu_devices: Option<usize>,
gpu_batch_size: u32,
cpu_batch_size: u64,
duration: u64,
allow_integrated: bool,
) {
let effective_cpu_workers = cpu_workers.unwrap_or_else(num_cpus::get);
// Initialize GPU engine (no throttle for benchmark)
let (gpu_engine, effective_gpu_devices) = match miner_service::resolve_gpu_configuration(
gpu_devices,
gpu_batch_size,
0,
allow_integrated,
) {
Ok((engine, count)) => (engine, count),
Err(e) => {
eprintln!("❌ ERROR: {}", e);
std::process::exit(1);
}
};
log::info!("Effective config: {config}");
if let Err(e) = run(config).await {
log::error!("Miner service terminated with error: {e:?}");
let total_workers = effective_cpu_workers + effective_gpu_devices;
println!("🚀 Quantus Miner Benchmark");
println!("==========================");
println!(
"CPU Workers: {} (Available: {})",
effective_cpu_workers,
num_cpus::get()
);
println!("GPU Devices: {}", effective_gpu_devices);
if effective_cpu_workers > 0 {
println!("CPU batch size: {cpu_batch_size} hashes");
}
if effective_gpu_devices > 0 {
println!("GPU batch size: {gpu_batch_size} nonces");
}
println!("Duration: {duration} seconds");
println!();
if total_workers == 0 {
eprintln!("Error: No workers specified");
std::process::exit(1);
}
// Create CPU engine
let cpu_engine: Option<Arc<dyn MinerEngine>> = if effective_cpu_workers > 0 {
Some(Arc::new(engine_cpu::FastCpuEngine::new(cpu_batch_size)))
} else {
None
};
let cancel_flag = Arc::new(AtomicBool::new(false));
let benchmark_start = Instant::now();
// Random header hash for benchmark
let mut header = [0u8; 32];
rand::rng().fill_bytes(&mut header);
let difficulty = U512::MAX; // High difficulty - no solutions expected
let ref_engine = cpu_engine.as_ref().or(gpu_engine.as_ref()).unwrap();
let ctx = ref_engine.prepare_context(header, difficulty);
println!("⛏️ Starting benchmark...");
// Spawn worker threads
let mut handles = Vec::new();
let total_hashes = Arc::new(std::sync::Mutex::new(0u64));
// Floor range widths at the old constants: engines still batch at the flag's
// size internally, but tiny flags don't turn per-call harness overhead into
// the measured quantity.
let cpu_chunk = cpu_batch_size.max(10_000);
let gpu_chunk = (gpu_batch_size as u64).max(1_000_000);
for worker_id in 0..total_workers {
let (engine, nonces_per_batch) = if worker_id < effective_cpu_workers {
(cpu_engine.as_ref().unwrap().clone(), cpu_chunk)
} else {
(gpu_engine.as_ref().unwrap().clone(), gpu_chunk)
};
let ctx = ctx.clone();
let cancel = cancel_flag.clone();
let hashes = total_hashes.clone();
let start = benchmark_start;
let handle = thread::spawn(move || {
let stride = U512::from(1_000_000_000_000u64);
let mut current = U512::from(worker_id as u64).saturating_mul(stride);
let step = U512::from(nonces_per_batch);
loop {
if cancel.load(std::sync::atomic::Ordering::Relaxed) {
break;
}
let worker_range = EngineRange {
start: current,
end: current
.saturating_add(step)
.saturating_sub(U512::from(1u64)),
};
let cancel_check = AtomicBoolCancelCheck(&cancel);
let result = engine.search_range(&ctx, worker_range, &cancel_check);
match result {
engine_cpu::EngineStatus::Found { hash_count, .. }
| engine_cpu::EngineStatus::Exhausted { hash_count }
| engine_cpu::EngineStatus::Cancelled { hash_count }
| engine_cpu::EngineStatus::DeviceLost { hash_count } => {
*hashes.lock().unwrap() += hash_count;
}
engine_cpu::EngineStatus::Running { .. } => {}
}
if matches!(result, engine_cpu::EngineStatus::DeviceLost { .. }) {
break;
}
current = current.saturating_add(step);
if start.elapsed() >= Duration::from_secs(duration) {
break;
}
}
engine_gpu::GpuEngine::clear_worker_resources();
});
handles.push(handle);
}
// Progress updates
let mut last_update = Instant::now();
loop {
tokio::time::sleep(Duration::from_millis(100)).await;
if benchmark_start.elapsed() >= Duration::from_secs(duration) {
cancel_flag.store(true, std::sync::atomic::Ordering::Relaxed);
break;
}
if last_update.elapsed() >= Duration::from_secs(1) {
let current = *total_hashes.lock().unwrap();
let elapsed = benchmark_start.elapsed().as_secs_f64();
if current > 0 {
let rate = current as f64 / elapsed;
println!("⏱️ {:.1}s - {} H/s", elapsed, format_hash_rate(rate));
}
last_update = Instant::now();
}
}
// Wait for threads
for handle in handles {
let _ = handle.join();
}
let total_elapsed = benchmark_start.elapsed();
let final_hashes = *total_hashes.lock().unwrap();
let avg_rate = final_hashes as f64 / total_elapsed.as_secs_f64();
println!();
println!("📊 Benchmark Results");
println!("===================");
println!("Total time: {:.2}s", total_elapsed.as_secs_f64());
println!("Total hashes: {}", final_hashes);
println!("Average rate: {} H/s", format_hash_rate(avg_rate));
if total_workers > 1 {
let per_worker = avg_rate / total_workers as f64;
println!("Per-worker: {} H/s", format_hash_rate(per_worker));
}
println!("✅ Benchmark completed!");
}
fn format_hash_rate(rate: f64) -> String {
if rate >= 1_000_000.0 {
format!("{:.2}M", rate / 1_000_000.0)
} else if rate >= 1_000.0 {
format!("{:.2}K", rate / 1_000.0)
} else {
format!("{:.0}", rate)
}
}
+10 -25
View File
@@ -3,47 +3,32 @@ name = "miner-service"
version.workspace = true
edition.workspace = true
publish = false
description = "Service layer: HTTP API, job orchestration, and engine abstraction for the Quantus External Miner"
description = "QUIC-based mining service for the Quantus External Miner"
[features]
default = ["cpu", "metrics", "montgomery"]
# Enable CPU engine by default.
default = ["cpu"]
cpu = ["engine-cpu"]
# Optional metrics/observability (Prometheus endpoint).
metrics = [
"dep:metrics",
"engine-gpu-cuda?/metrics",
"engine-montgomery?/metrics",
"metrics/http-exporter",
]
# Optional GPU backends (off by default).
cuda = ["dep:engine-gpu-cuda", "engine-gpu-cuda/cuda"]
opencl = ["engine-gpu-opencl"]
# Optional Montgomery-optimized CPU backend
montgomery = ["engine-montgomery"]
[dependencies]
# Workspace-shared deps
warp = { workspace = true }
tokio = { workspace = true, features = ["full"] }
serde = { workspace = true, features = ["derive"] }
serde_json = { workspace = true }
hex = { workspace = true }
primitive-types = { workspace = true }
log = { workspace = true }
crossbeam-channel = { workspace = true }
num_cpus = { workspace = true }
thiserror = { workspace = true }
anyhow = { workspace = true }
# Protocol types from the node repo (keep API compatibility)
# QUIC transport
quinn = "0.10"
quic-transport = { path = "../quic-transport" }
getrandom = "0.2"
# Protocol types from the node repo
quantus-miner-api = { workspace = true }
# Local crates
pow-core = { path = "../pow-core" }
engine-cpu = { path = "../engine-cpu", optional = true }
engine-montgomery = { path = "../engine-montgomery", optional = true }
engine-gpu-cuda = { path = "../engine-gpu-cuda", optional = true, features = ["cuda"] }
engine-gpu-opencl = { path = "../engine-gpu-opencl", optional = true }
metrics = { path = "../metrics", optional = true }
miner-telemetry = { path = "../miner-telemetry" }
engine-gpu = { path = "../engine-gpu" }
metrics = { path = "../metrics" }
File diff suppressed because it is too large Load Diff
+337
View File
@@ -0,0 +1,337 @@
//! QUIC client for connecting to blockchain nodes.
//!
//! This module provides a QUIC client that connects to a blockchain node
//! and handles bidirectional streaming for receiving mining jobs and
//! sending results.
use std::net::SocketAddr;
use std::sync::Arc;
use std::time::{Duration, Instant};
use engine_cpu::MinerEngine;
use primitive_types::U512;
use quantus_miner_api::{
read_message, write_message, ApiResponseStatus, MinerMessage, MiningResult,
};
use crate::{EngineType, WorkerPool};
use pow_core::format_hashrate;
/// Connect to a node and start mining.
///
/// This function connects to the node, receives mining jobs, and sends results.
/// It automatically reconnects if the connection is lost.
///
/// Uses a persistent worker pool to avoid thread creation overhead between jobs.
pub async fn connect_and_mine(
node_addr: SocketAddr,
auth_token: &str,
tls_cert_sha256: &str,
cpu_engine: Option<Arc<dyn MinerEngine>>,
gpu_engine: Option<Arc<dyn MinerEngine>>,
cpu_workers: usize,
gpu_devices: usize,
) -> anyhow::Result<()> {
// Create persistent worker pool once - it lives for the entire miner lifetime
let worker_pool = WorkerPool::new(cpu_engine, gpu_engine, cpu_workers, gpu_devices);
let mut reconnect_delay = Duration::from_secs(1);
const MAX_RECONNECT_DELAY: Duration = Duration::from_secs(30);
loop {
log::info!("⛏️ Connecting to node at {}...", node_addr);
match establish_connection(node_addr, auth_token, tls_cert_sha256).await {
Ok((connection, send, recv)) => {
log::info!("⛏️ Connected to node at {}", node_addr);
let mut authenticated = false;
if let Err(e) =
handle_connection(connection, send, recv, &worker_pool, &mut authenticated)
.await
{
// Cancel any running job when connection drops
worker_pool.cancel();
if e.downcast_ref::<quic_transport::PermanentConnectError>()
.is_some()
{
log::error!("⛏️ Permanent connection error (not retrying): {e}");
return Err(e);
}
log::info!("⛏️ Connection lost: {}", e);
}
// Only clear backoff after the node accepted auth (first NewJob).
// connect() already treats explicit "auth failed" as permanent;
// this covers any other post-Ready close that looked like success.
if authenticated {
reconnect_delay = Duration::from_secs(1);
}
}
Err(e) => {
if e.downcast_ref::<quic_transport::PermanentConnectError>()
.is_some()
{
log::error!("⛏️ Permanent connection error (not retrying): {e}");
return Err(e);
}
log::warn!("⛏️ Failed to connect to node: {}", e);
}
}
log::info!("⛏️ Reconnecting in {:?}...", reconnect_delay);
tokio::time::sleep(reconnect_delay).await;
reconnect_delay = (reconnect_delay * 2).min(MAX_RECONNECT_DELAY);
}
}
/// Establish a QUIC connection to the node (shared transport crate).
async fn establish_connection(
addr: SocketAddr,
auth_token: &str,
tls_cert_sha256: &str,
) -> anyhow::Result<(quinn::Connection, quinn::SendStream, quinn::RecvStream)> {
let result = quic_transport::connect(addr, auth_token, tls_cert_sha256).await?;
log::info!(
"⛏️ QUIC connection and bidirectional stream established to {}",
addr
);
Ok(result)
}
/// Helper to send a message while monitoring connection health.
async fn send_message_checked(
connection: &quinn::Connection,
send: &mut quinn::SendStream,
msg: &MinerMessage,
) -> anyhow::Result<()> {
tokio::select! {
biased;
reason = connection.closed() => {
Err(anyhow::anyhow!("Connection closed: {}", reason))
}
result = write_message(send, msg) => {
result.map_err(|e| anyhow::anyhow!("Failed to send message: {}", e))
}
}
}
/// Handle an established connection, receiving jobs and sending results.
///
/// Sets `authenticated` when the first `NewJob` arrives (proof the node
/// accepted our Ready token).
async fn handle_connection(
connection: quinn::Connection,
mut send: quinn::SendStream,
mut recv: quinn::RecvStream,
worker_pool: &WorkerPool,
authenticated: &mut bool,
) -> anyhow::Result<()> {
use crossbeam_channel::RecvTimeoutError;
// Set static metrics once per connection
metrics::set_effective_cpus(num_cpus::get() as i64);
metrics::set_workers(worker_pool.worker_count() as i64);
metrics::set_cpu_workers(worker_pool.cpu_worker_count() as i64);
metrics::set_gpu_devices(worker_pool.gpu_worker_count() as i64);
metrics::reset_hash_tracker();
// Current job state
// - node_job_id: The string ID from the node (e.g., "27") - used in protocol messages
// - internal_job_id: Our internal numeric ID from WorkerPool - used to detect stale results
let mut node_job_id: Option<String> = None;
let mut internal_job_id: u64 = 0;
let mut job_start_time: Option<Instant> = None;
let mut cpu_hashes: u64 = 0;
let mut gpu_hashes: u64 = 0;
let mut result_sent_for_current_job = false;
log::info!("⛏️ Waiting for mining jobs from node...");
loop {
// Poll for worker results (non-blocking via spawn_blocking)
let poll_result = if node_job_id.is_some() && !result_sent_for_current_job {
let rx = worker_pool.result_receiver().clone();
tokio::task::spawn_blocking(move || rx.recv_timeout(Duration::from_millis(10)))
.await
.unwrap_or(Err(RecvTimeoutError::Disconnected))
} else {
Err(RecvTimeoutError::Timeout)
};
// Handle worker result if any
if let Ok(worker_result) = poll_result {
// Track hashes by engine type (always, even for stale results)
match worker_result.engine_type {
EngineType::Cpu => {
cpu_hashes += worker_result.hash_count;
metrics::record_cpu_hashes(worker_result.hash_count);
}
EngineType::Gpu => {
gpu_hashes += worker_result.hash_count;
metrics::record_gpu_hashes(worker_result.hash_count);
}
}
// Check if this result is for the current job (not stale)
if worker_result.job_id != internal_job_id {
log::debug!(
"⏰ Discarding stale result from worker {} (result job_id {} != current {})",
worker_result.thread_id,
worker_result.job_id,
internal_job_id
);
continue;
}
// Only send result for the FIRST solution found for THIS job
if let Some(candidate) = worker_result.candidate {
if !result_sent_for_current_job {
if let Some(ref job_id) = node_job_id {
let total_hashes = cpu_hashes + gpu_hashes;
let elapsed = job_start_time
.map(|t| t.elapsed().as_secs_f64())
.unwrap_or(0.0);
log::info!(
"⛏️ Job {job_id} completed: {total_hashes} hashes in {elapsed:.2}s ({})",
format_hashrate(total_hashes as f64 / elapsed.max(0.001))
);
// Mark as sent BEFORE sending to prevent duplicates
result_sent_for_current_job = true;
worker_pool.cancel();
metrics::set_active_jobs(0);
let result = MiningResult {
status: ApiResponseStatus::Completed,
job_id: job_id.clone(),
nonce: Some(format!("{:x}", candidate.nonce)),
work: Some(hex::encode(candidate.work)),
hash_count: total_hashes,
elapsed_time: elapsed,
miner_id: None,
};
let msg = MinerMessage::JobResult(result);
send_message_checked(&connection, &mut send, &msg).await?;
}
}
}
}
// Check for incoming messages and connection health
tokio::select! {
biased;
reason = connection.closed() => {
let msg = reason.to_string();
if !*authenticated && msg.to_ascii_lowercase().contains("auth") {
return Err(quic_transport::PermanentConnectError(format!(
"node rejected miner auth ({msg}); check --auth-token / miner-auth-token"
))
.into());
}
return Err(anyhow::anyhow!("Connection closed: {}", msg));
}
msg_result = read_message(&mut recv) => {
match msg_result {
Ok(MinerMessage::NewJob(request)) => {
*authenticated = true;
log::info!(
"⛏️ Received job: id={}, hash=0x{}",
request.job_id,
request.mining_hash
);
// Parse header hash
let header_hash: [u8; 32] = match hex::decode(&request.mining_hash) {
Ok(bytes) if bytes.len() == 32 => bytes.try_into().unwrap(),
_ => {
log::warn!("Invalid mining_hash in request");
let result = MiningResult {
status: ApiResponseStatus::Failed,
job_id: request.job_id,
nonce: None,
work: None,
hash_count: 0,
elapsed_time: 0.0,
miner_id: None,
};
let msg = MinerMessage::JobResult(result);
send_message_checked(&connection, &mut send, &msg).await?;
continue;
}
};
// Parse difficulty
let difficulty = match U512::from_dec_str(&request.difficulty) {
Ok(d) => d,
Err(_) => {
log::warn!("Invalid difficulty in request: parse error");
let result = MiningResult {
status: ApiResponseStatus::Failed,
job_id: request.job_id,
nonce: None,
work: None,
hash_count: 0,
elapsed_time: 0.0,
miner_id: None,
};
let msg = MinerMessage::JobResult(result);
send_message_checked(&connection, &mut send, &msg).await?;
continue;
}
};
// Reject zero difficulty to prevent division-by-zero panic in JobContext::new
if difficulty.is_zero() {
log::warn!("Invalid difficulty in request: zero is not allowed");
let result = MiningResult {
status: ApiResponseStatus::Failed,
job_id: request.job_id,
nonce: None,
work: None,
hash_count: 0,
elapsed_time: 0.0,
miner_id: None,
};
let msg = MinerMessage::JobResult(result);
send_message_checked(&connection, &mut send, &msg).await?;
continue;
}
// Reset state for new job
cpu_hashes = 0;
gpu_hashes = 0;
job_start_time = Some(Instant::now());
node_job_id = Some(request.job_id.clone());
result_sent_for_current_job = false;
log::debug!("Starting job {}", request.job_id);
metrics::set_active_jobs(1);
// start_job returns the internal job ID used to detect stale results
internal_job_id = worker_pool.start_job(header_hash, difficulty);
}
Ok(MinerMessage::JobResult(_)) => {
log::warn!("Received unexpected JobResult from node");
}
Ok(MinerMessage::Ready { .. }) => {
log::warn!("Received unexpected Ready from node");
}
Err(e) if e.kind() == std::io::ErrorKind::UnexpectedEof => {
return Err(anyhow::anyhow!("Node disconnected"));
}
Err(e) => {
return Err(anyhow::anyhow!("Read error: {}", e));
}
}
}
// Short sleep to yield when no messages
_ = tokio::time::sleep(Duration::from_millis(1)) => {}
}
}
}
-1
View File
@@ -21,5 +21,4 @@ serde = { workspace = true, features = ["derive"] }
serde_json = { workspace = true }
tokio = { workspace = true, features = ["full"] }
tokio-tungstenite = { version = "0.23", features = ["rustls-tls-webpki-roots"] }
url = "2"
uuid = { version = "1", features = ["fast-rng", "v4"] }
+12 -19
View File
@@ -106,33 +106,28 @@ impl TelemetryHandle {
}
/// Emit a fully custom payload (must include `"msg"`).
pub async fn emit_payload(&self, payload: Value, verbosity: Option<u8>) {
///
/// This is intentionally lossy: if the internal channel is full, the message is dropped
/// silently to avoid blocking mining paths or causing unbounded memory growth.
pub fn emit_payload(&self, payload: Value, verbosity: Option<u8>) {
if self.senders.is_empty() {
return;
}
let msg = EnvelopeMsg { payload, verbosity };
for tx in self.senders.iter() {
// Drop on full; do not block mining paths. This is intentionally lossy under backpressure.
if tx.try_send(msg.clone()).is_err() {
// Best-effort: if try_send failed due to full buffer, attempt bounded send with small timeout.
// Avoid blocking indefinitely.
let tx = tx.clone();
let msg = msg.clone();
tokio::spawn(async move {
let _ = tx.send(msg).await;
});
}
// Drop on full; do not block mining paths.
let _ = tx.try_send(msg.clone());
}
}
/// Emit a `system.connected` message using configuration defaults and an optional link.
pub async fn emit_system_connected(&self, link: Option<&TelemetryNodeLink>) {
pub fn emit_system_connected(&self, link: Option<&TelemetryNodeLink>) {
let payload = build_system_connected_payload(&self.config, link);
self.emit_payload(payload, Some(self.verbosity)).await;
self.emit_payload(payload, Some(self.verbosity));
}
/// Emit a `system.interval` message with lightweight health stats and an optional link hint.
pub async fn emit_system_interval(&self, interval: &SystemInterval, link_hint: Option<&str>) {
pub fn emit_system_interval(&self, interval: &SystemInterval, link_hint: Option<&str>) {
let mut payload = json!({
"msg": "system.interval",
"uptime_ms": interval.uptime_ms,
@@ -169,7 +164,7 @@ impl TelemetryHandle {
.insert("linked_node_hint".to_string(), json!(hint));
}
self.emit_payload(payload, Some(self.verbosity)).await;
self.emit_payload(payload, Some(self.verbosity));
}
}
@@ -463,9 +458,7 @@ mod tests {
let cfg = TelemetryConfig::default();
let handle = start(cfg);
assert!(!handle.is_enabled());
handle
.emit_system_interval(&SystemInterval::default(), None)
.await;
handle.emit_system_connected(None).await;
handle.emit_system_interval(&SystemInterval::default(), None);
handle.emit_system_connected(None);
}
}
+32
View File
@@ -0,0 +1,32 @@
[package]
name = "pool-service"
version.workspace = true
edition.workspace = true
publish = false
description = "Captcha share pool: turns browser proof-of-work captcha solves into Quantus mining shares"
[dependencies]
anyhow = { workspace = true }
clap = { workspace = true }
env_logger = { workspace = true }
hex = { workspace = true }
log = { workspace = true }
primitive-types = { workspace = true }
rand = { workspace = true }
serde = { workspace = true }
serde_json = { workspace = true, features = ["std"] }
tokio = { workspace = true }
warp = { workspace = true }
# QUIC transport (shared with miner-service)
quinn = "0.10"
quic-transport = { path = "../quic-transport" }
# Constant-time comparison for the site secret
constant_time_eq = "0.3"
# Protocol types from the node repo
quantus-miner-api = { workspace = true }
# Local crates
pow-core = { path = "../pow-core" }
+219
View File
@@ -0,0 +1,219 @@
//! HTTP API for the captcha widget (session/share) and for protected sites
//! (siteverify), plus optional static file serving for the demo page.
use std::net::{IpAddr, SocketAddr};
use std::path::PathBuf;
use std::sync::Arc;
use primitive_types::U512;
use serde::{Deserialize, Serialize};
use warp::Filter;
use crate::rate_limit::SessionIssuerLimiter;
use crate::state::{PoolState, ShareOutcome};
#[derive(Serialize)]
struct SessionResponse {
session_id: String,
/// Hex, 32 bytes, no 0x prefix.
header_hash: String,
/// Hex U512, no 0x prefix. Solver iterates nonce_start..nonce_end.
nonce_start: String,
nonce_end: String,
/// Share target as hex U512: a share is valid iff hash < share_target.
/// (Target form avoids the solver needing U512 division.)
share_target: String,
/// Expected number of hashes to find a share (= share difficulty), FYI/UX.
expected_hashes: u64,
expires_in_secs: u64,
}
#[derive(Deserialize)]
struct ShareRequest {
session_id: String,
/// Hex U512 nonce, no 0x prefix.
nonce: String,
}
#[derive(Serialize)]
struct ShareResponse {
success: bool,
#[serde(skip_serializing_if = "Option::is_none")]
token: Option<String>,
#[serde(skip_serializing_if = "Option::is_none")]
error: Option<&'static str>,
block_found: bool,
}
/// Request shape mirrors reCAPTCHA/Turnstile: `secret` + `response`.
#[derive(Deserialize)]
struct SiteVerifyRequest {
secret: String,
response: String,
}
#[derive(Serialize)]
struct SiteVerifyResponse {
success: bool,
#[serde(rename = "challenge_ts", skip_serializing_if = "Option::is_none")]
challenge_ts: Option<u64>,
#[serde(rename = "error-codes", skip_serializing_if = "Vec::is_empty")]
error_codes: Vec<&'static str>,
}
pub async fn serve(
state: Arc<PoolState>,
limiter: Arc<SessionIssuerLimiter>,
addr: SocketAddr,
serve_dir: Option<PathBuf>,
) {
let with_state = {
let state = state.clone();
warp::any().map(move || state.clone())
};
let with_limiter = {
let limiter = limiter.clone();
warp::any().map(move || limiter.clone())
};
// POST /api/session -> new captcha challenge
let session = warp::path!("api" / "session")
.and(warp::post())
.and(warp::addr::remote())
.and(with_limiter.clone())
.and(with_state.clone())
.map(
|remote: Option<SocketAddr>,
limiter: Arc<SessionIssuerLimiter>,
state: Arc<PoolState>| {
let ip = remote
.map(|a| a.ip())
.unwrap_or(IpAddr::from([127, 0, 0, 1]));
if let Err(reason) = limiter.check(ip) {
return reply_error(warp::http::StatusCode::TOO_MANY_REQUESTS, reason);
}
match state.issue_session() {
Err(reason) => reply_error(warp::http::StatusCode::SERVICE_UNAVAILABLE, reason),
Ok(s) => {
let target = U512::MAX / s.share_difficulty;
let expected = s.share_difficulty.min(U512::from(u64::MAX)).as_u64();
warp::reply::with_status(
warp::reply::json(&SessionResponse {
session_id: s.id,
header_hash: hex::encode(s.job.header),
nonce_start: format!("{:x}", s.nonce_start),
nonce_end: format!("{:x}", s.nonce_end),
share_target: format!("{:x}", target),
expected_hashes: expected,
expires_in_secs: crate::state::SESSION_TTL.as_secs(),
}),
warp::http::StatusCode::OK,
)
}
}
},
);
// POST /api/share -> verify a solved nonce, mint a token
let share = warp::path!("api" / "share")
.and(warp::post())
.and(warp::body::content_length_limit(4096))
.and(warp::body::json())
.and(with_state.clone())
.map(|req: ShareRequest, state: Arc<PoolState>| {
let nonce = match U512::from_str_radix(req.nonce.trim_start_matches("0x"), 16) {
Ok(n) => n,
Err(_) => {
return warp::reply::with_status(
warp::reply::json(&ShareResponse {
success: false,
token: None,
error: Some("malformed_nonce"),
block_found: false,
}),
warp::http::StatusCode::BAD_REQUEST,
)
}
};
match state.submit_share(&req.session_id, nonce) {
ShareOutcome::Accepted { token, block_found } => warp::reply::with_status(
warp::reply::json(&ShareResponse {
success: true,
token: Some(token),
error: None,
block_found,
}),
warp::http::StatusCode::OK,
),
ShareOutcome::Rejected(reason) => warp::reply::with_status(
warp::reply::json(&ShareResponse {
success: false,
token: None,
error: Some(reason),
block_found: false,
}),
warp::http::StatusCode::FORBIDDEN,
),
}
});
// POST /siteverify -> protected site's backend redeems a token
let siteverify = warp::path!("siteverify")
.and(warp::post())
.and(warp::body::content_length_limit(4096))
// Accept both JSON and form encoding, like the incumbents do.
.and(
warp::body::json()
.or(warp::body::form())
.unify()
.map(|req: SiteVerifyRequest| req),
)
.and(with_state.clone())
.map(|req: SiteVerifyRequest, state: Arc<PoolState>| {
match state.verify_token(&req.secret, &req.response) {
Ok(ts) => warp::reply::json(&SiteVerifyResponse {
success: true,
challenge_ts: Some(ts),
error_codes: vec![],
}),
Err(code) => warp::reply::json(&SiteVerifyResponse {
success: false,
challenge_ts: None,
error_codes: vec![code],
}),
}
});
// GET /api/stats -> pool counters
let stats = warp::path!("api" / "stats")
.and(warp::get())
.and(with_state.clone())
.map(|state: Arc<PoolState>| warp::reply::json(&state.stats()));
let cors = warp::cors()
.allow_any_origin()
.allow_methods(vec!["GET", "POST", "OPTIONS"])
.allow_headers(vec!["content-type"]);
let api = session.or(share).or(siteverify).or(stats);
log::info!("HTTP API listening on {}", addr);
if let Some(dir) = serve_dir {
log::info!("Serving demo statics from {}", dir.display());
let statics = warp::get().and(warp::fs::dir(dir));
warp::serve(api.or(statics).with(cors)).run(addr).await;
} else {
warp::serve(api.with(cors)).run(addr).await;
}
}
fn reply_error(
status: warp::http::StatusCode,
error: &'static str,
) -> warp::reply::WithStatus<warp::reply::Json> {
#[derive(Serialize)]
struct Err<'a> {
error: &'a str,
}
warp::reply::with_status(warp::reply::json(&Err { error }), status)
}
+250
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@@ -0,0 +1,250 @@
//! Quantus captcha share pool.
//!
//! Sits between a quantus-node (external miner protocol) and browser captcha
//! solvers: hands out low-difficulty share challenges over the real block
//! header, verifies solves, mints single-use tokens for site backends, and
//! submits any share that happens to meet full network difficulty as a block.
mod http;
mod rate_limit;
mod state;
mod upstream;
use std::net::SocketAddr;
use std::path::PathBuf;
use std::sync::Arc;
use std::time::Duration;
use clap::Parser;
use primitive_types::U512;
use crate::rate_limit::SessionRateLimit;
#[derive(Parser, Debug)]
#[command(name = "pool-service", about = "Quantus captcha share pool")]
struct Args {
/// HTTP listen address for the captcha/siteverify API.
#[arg(long, default_value = "127.0.0.1:8787", env = "POOL_HTTP_ADDR")]
http_addr: SocketAddr,
/// Address of the quantus-node external-miner QUIC endpoint.
/// If omitted, runs in standalone mode with synthetic jobs (demo only).
#[arg(long, env = "POOL_NODE_ADDR")]
node_addr: Option<SocketAddr>,
/// Shared auth token from the node's `miner-auth-token` file.
/// Required when `--node-addr` is set. Prefer `--auth-token-file`.
#[arg(long, env = "POOL_AUTH_TOKEN", conflicts_with = "auth_token_file")]
auth_token: Option<String>,
/// Path to the node's `miner-auth-token` file (trimmed).
#[arg(long, env = "POOL_AUTH_TOKEN_FILE", conflicts_with = "auth_token")]
auth_token_file: Option<PathBuf>,
/// SHA-256 fingerprint of the node's miner TLS certificate (64 hex chars).
/// Required when `--node-addr` is set. Prefer `--tls-cert-sha256-file`.
#[arg(
long,
env = "POOL_TLS_CERT_SHA256",
conflicts_with = "tls_cert_sha256_file"
)]
tls_cert_sha256: Option<String>,
/// Path to the node's `miner-tls-cert-sha256` file.
#[arg(
long,
env = "POOL_TLS_CERT_SHA256_FILE",
conflicts_with = "tls_cert_sha256"
)]
tls_cert_sha256_file: Option<PathBuf>,
/// Share difficulty: expected number of hashes per captcha solve.
/// Measured browser WASM rate ≈ 120 kH/s on an M-series laptop, so
/// 50000 ≈ 0.4 s desktop / ~2 s phone. Raise for stronger rate limiting.
#[arg(long, default_value = "50000", env = "POOL_SHARE_DIFFICULTY")]
share_difficulty: u64,
/// Secret that protected-site backends must present to /siteverify.
#[arg(long, default_value = "dev-secret", env = "POOL_SITE_SECRET")]
site_secret: String,
/// Optional directory of static files to serve (demo page / widget).
#[arg(long, env = "POOL_SERVE_DIR")]
serve_dir: Option<PathBuf>,
/// Job rotation interval in standalone mode, seconds.
#[arg(long, default_value = "20")]
standalone_job_secs: u64,
/// Maximum live captcha sessions; /api/session returns 503 when full.
#[arg(long, default_value = "100000", env = "POOL_MAX_SESSIONS")]
max_sessions: usize,
/// Maximum live (unredeemed) share tokens; shares are refused when full.
#[arg(long, default_value = "100000", env = "POOL_MAX_TOKENS")]
max_tokens: usize,
/// Max /api/session issuances per client IP per minute.
#[arg(long, default_value = "60", env = "POOL_SESSIONS_PER_IP_PER_MIN")]
sessions_per_ip_per_min: u32,
}
#[tokio::main]
async fn main() -> anyhow::Result<()> {
env_logger::Builder::from_env(env_logger::Env::default().default_filter_or("info")).init();
let args = Args::parse();
anyhow::ensure!(args.share_difficulty > 0, "--share-difficulty must be > 0");
if args.site_secret == "dev-secret" {
log::warn!("Using default site secret; set --site-secret in production");
}
// Resolve + validate node auth before starting HTTP / upstream tasks so a
// bad fingerprint or oversized token exits instead of retrying forever.
let node_upstream = match args.node_addr {
Some(addr) => {
let auth_token = resolve_auth_token(args.auth_token, args.auth_token_file)?;
let tls_cert_sha256 =
resolve_tls_cert_sha256(args.tls_cert_sha256, args.tls_cert_sha256_file)?;
quic_transport::validate_auth_config(&auth_token, &tls_cert_sha256)?;
Some((addr, auth_token, tls_cert_sha256))
}
None => {
if args.auth_token.is_some()
|| args.auth_token_file.is_some()
|| args.tls_cert_sha256.is_some()
|| args.tls_cert_sha256_file.is_some()
{
log::warn!("Ignoring auth/TLS pin flags in standalone mode (no --node-addr)");
}
None
}
};
let (solution_tx, solution_rx) = tokio::sync::mpsc::channel(16);
let state = state::PoolState::new(
U512::from(args.share_difficulty),
args.site_secret.clone(),
solution_tx,
state::Limits {
max_sessions: args.max_sessions,
max_tokens: args.max_tokens,
},
);
let limiter = Arc::new(rate_limit::SessionIssuerLimiter::new(SessionRateLimit {
max_per_ip: args.sessions_per_ip_per_min,
window: Duration::from_secs(60),
}));
// Periodic cleanup of expired sessions/tokens and stale rate-limit windows.
{
let state = state.clone();
let limiter = limiter.clone();
tokio::spawn(async move {
loop {
tokio::time::sleep(Duration::from_secs(30)).await;
state.gc();
limiter.gc();
}
});
}
// Job source. Node mode reconnects across transient disconnects (node
// restart); only a PermanentConnectError ends the task — then we tear
// down HTTP so the process does not look healthy on a bad token/pin.
match node_upstream {
Some((addr, auth_token, tls_cert_sha256)) => {
log::info!("Upstream: quantus-node at {}", addr);
let state_for_upstream = state.clone();
let upstream = tokio::spawn(async move {
upstream::run_node_client(
state_for_upstream,
addr,
auth_token,
tls_cert_sha256,
solution_rx,
)
.await
});
tokio::select! {
biased;
result = upstream => {
match result {
Ok(Ok(())) => anyhow::bail!(
"upstream task exited unexpectedly (should reconnect forever)"
),
Ok(Err(e)) => {
log::error!("Upstream permanent failure; shutting down: {e}");
Err(e.into())
}
Err(e) => Err(anyhow::anyhow!("upstream task panicked: {e}")),
}
}
_ = http::serve(state, limiter, args.http_addr, args.serve_dir) => Ok(()),
}
}
None => {
log::warn!("No --node-addr given: running STANDALONE with synthetic jobs");
let state_for_upstream = state.clone();
tokio::spawn(async move {
upstream::run_standalone(
state_for_upstream,
Duration::from_secs(args.standalone_job_secs),
solution_rx,
)
.await
});
http::serve(state, limiter, args.http_addr, args.serve_dir).await;
Ok(())
}
}
}
fn resolve_auth_token(
auth_token: Option<String>,
auth_token_file: Option<PathBuf>,
) -> anyhow::Result<String> {
resolve_required_secret(
auth_token,
auth_token_file,
"--auth-token",
"--auth-token-file",
"when --node-addr is set, pass --auth-token-file <PATH> to the node's \
miner-auth-token file (or --auth-token <TOKEN>)",
)
}
fn resolve_tls_cert_sha256(value: Option<String>, file: Option<PathBuf>) -> anyhow::Result<String> {
resolve_required_secret(
value,
file,
"--tls-cert-sha256",
"--tls-cert-sha256-file",
"when --node-addr is set, pass --tls-cert-sha256-file <PATH> to the node's \
miner-tls-cert-sha256 file (or --tls-cert-sha256 <HEX>; also printed in node logs)",
)
}
fn resolve_required_secret(
value: Option<String>,
file: Option<PathBuf>,
value_flag: &str,
file_flag: &str,
missing_msg: &str,
) -> anyhow::Result<String> {
if let Some(value) = value {
let value = value.trim().to_string();
anyhow::ensure!(!value.is_empty(), "{value_flag} is empty");
return Ok(value);
}
if let Some(path) = file {
let contents = std::fs::read_to_string(&path)
.map_err(|e| anyhow::anyhow!("failed to read {file_flag} {}: {}", path.display(), e))?;
let value = contents.trim().to_string();
anyhow::ensure!(!value.is_empty(), "{file_flag} {} is empty", path.display());
return Ok(value);
}
anyhow::bail!("{missing_msg}");
}
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//! Per-client rate limiting for unauthenticated endpoints.
//!
//! `/api/session` is free, so a hard map cap alone still lets an attacker
//! churn entries at the TTL boundary. A per-IP issuance ceiling bounds that
//! even when the global cap has headroom.
use std::collections::HashMap;
use std::net::IpAddr;
use std::sync::Mutex;
use std::time::{Duration, Instant};
#[derive(Debug, Clone, Copy)]
pub struct SessionRateLimit {
/// Max session issuances per IP per window.
pub max_per_ip: u32,
pub window: Duration,
}
impl Default for SessionRateLimit {
fn default() -> Self {
SessionRateLimit {
// 60 sessions/min/IP is generous for real users (a page load is
// one) but stops a single host from dominating issuance.
max_per_ip: 60,
window: Duration::from_secs(60),
}
}
}
#[derive(Default)]
struct IpWindow {
count: u32,
window_start: Option<Instant>,
}
pub struct SessionIssuerLimiter {
cfg: SessionRateLimit,
by_ip: Mutex<HashMap<IpAddr, IpWindow>>,
}
impl SessionIssuerLimiter {
pub fn new(cfg: SessionRateLimit) -> Self {
SessionIssuerLimiter {
cfg,
by_ip: Mutex::new(HashMap::new()),
}
}
/// Returns Ok(()) if this IP may issue another session, Err otherwise.
pub fn check(&self, ip: IpAddr) -> Result<(), &'static str> {
let now = Instant::now();
let mut map = self.by_ip.lock().unwrap();
let entry = map.entry(ip).or_default();
let window_start = entry.window_start.get_or_insert_with(Instant::now);
if now.duration_since(*window_start) >= self.cfg.window {
*window_start = now;
entry.count = 0;
}
if entry.count >= self.cfg.max_per_ip {
return Err("rate_limited");
}
entry.count += 1;
Ok(())
}
/// Drop stale IP windows so the side table doesn't grow forever.
pub fn gc(&self) {
let cutoff = self.cfg.window * 2;
let now = Instant::now();
self.by_ip.lock().unwrap().retain(|_, w| {
w.window_start
.map(|t| now.duration_since(t) < cutoff)
.unwrap_or(true)
});
}
}
#[cfg(test)]
mod tests {
use super::*;
use std::net::{Ipv4Addr, Ipv6Addr};
#[test]
fn allows_up_to_cap_then_rejects() {
let lim = SessionIssuerLimiter::new(SessionRateLimit {
max_per_ip: 2,
window: Duration::from_secs(60),
});
let ip = IpAddr::V4(Ipv4Addr::new(10, 0, 0, 1));
assert!(lim.check(ip).is_ok());
assert!(lim.check(ip).is_ok());
assert_eq!(lim.check(ip), Err("rate_limited"));
}
#[test]
fn ips_are_independent() {
let lim = SessionIssuerLimiter::new(SessionRateLimit {
max_per_ip: 1,
window: Duration::from_secs(60),
});
assert!(lim.check(IpAddr::V4(Ipv4Addr::new(1, 2, 3, 4))).is_ok());
assert!(lim.check(IpAddr::V6(Ipv6Addr::LOCALHOST)).is_ok());
}
}
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//! Core pool state: the current mining job, captcha sessions with disjoint
//! nonce ranges, and single-use share tokens.
use std::collections::HashMap;
use std::sync::atomic::{AtomicU64, Ordering};
use std::sync::{Arc, Mutex};
use std::time::{Duration, Instant, SystemTime, UNIX_EPOCH};
use primitive_types::U512;
use rand::RngCore;
/// How long a captcha session stays solvable after issuance.
pub const SESSION_TTL: Duration = Duration::from_secs(120);
/// How long a share token stays redeemable via /siteverify.
pub const TOKEN_TTL: Duration = Duration::from_secs(300);
/// Each session gets a disjoint slice of the nonce space this many nonces wide.
/// 2^64 nonces is unreachable within a session TTL at browser hash rates.
pub const SESSION_RANGE_BITS: u32 = 64;
/// Caps on live entries in the in-memory maps. `/api/session` is free and
/// unauthenticated, so without a ceiling a request flood becomes a memory-DoS
/// on the anti-abuse service itself. At the ~300 bytes/entry ballpark the
/// defaults bound each map to tens of MB.
#[derive(Debug, Clone, Copy)]
pub struct Limits {
pub max_sessions: usize,
pub max_tokens: usize,
}
impl Default for Limits {
fn default() -> Self {
Limits {
max_sessions: 100_000,
max_tokens: 100_000,
}
}
}
/// The job the pool is currently handing out to captcha sessions.
#[derive(Debug, Clone)]
pub struct Job {
/// Job id assigned by the upstream node (or synthesized in standalone mode).
pub job_id: String,
/// Block header hash to mine over.
pub header: [u8; 32],
/// Full network difficulty for this job (block found if a share meets it).
pub network_difficulty: U512,
}
/// A captcha session: one issued challenge, bound to a disjoint nonce range.
#[derive(Debug, Clone)]
pub struct Session {
pub id: String,
/// Snapshot of the job at issuance time. Shares are verified against this
/// header even if the pool has since moved to a newer job (grace period =
/// session TTL); only network-difficulty solutions for the *current* job
/// are submitted upstream.
pub job: Job,
pub nonce_start: U512,
pub nonce_end: U512, // exclusive
pub share_difficulty: U512,
pub issued_at: Instant,
pub solved: bool,
}
/// A verified share, redeemable exactly once by the protected site's backend.
#[derive(Debug, Clone)]
pub struct ShareToken {
pub created_at: Instant,
pub created_unix: u64,
pub consumed: bool,
}
#[derive(Debug, Default, Clone, serde::Serialize)]
pub struct PoolStats {
pub sessions_issued: u64,
pub shares_accepted: u64,
pub shares_rejected: u64,
pub tokens_verified: u64,
pub blocks_found: u64,
}
pub struct PoolState {
/// Current job, None until the first job arrives from the job source.
current_job: Mutex<Option<Job>>,
sessions: Mutex<HashMap<String, Session>>,
tokens: Mutex<HashMap<String, ShareToken>>,
stats: Mutex<PoolStats>,
/// Monotonic counter used to carve disjoint nonce ranges out of U512 space.
range_counter: AtomicU64,
/// Difficulty for captcha shares (expected hashes per solve).
pub share_difficulty: U512,
/// Site secret checked by /siteverify.
///
/// NOTE: single-tenant by design for now. All tokens are interchangeable
/// across any backend holding this secret; per-sitekey secrets land with
/// the host-registration follow-up.
pub site_secret: String,
limits: Limits,
/// Sender used to push network-difficulty solutions upstream.
pub solution_tx: tokio::sync::mpsc::Sender<FoundBlock>,
}
/// A share that met full network difficulty: a real block solution.
#[derive(Debug, Clone)]
pub struct FoundBlock {
pub job_id: String,
pub nonce: U512,
}
pub enum ShareOutcome {
/// Share accepted; token the client can hand to the protected site.
Accepted {
token: String,
block_found: bool,
},
Rejected(&'static str),
}
fn random_id() -> String {
let mut bytes = [0u8; 24];
rand::rng().fill_bytes(&mut bytes);
hex::encode(bytes)
}
fn unix_now() -> u64 {
SystemTime::now()
.duration_since(UNIX_EPOCH)
.map(|d| d.as_secs())
.unwrap_or(0)
}
impl PoolState {
pub fn new(
share_difficulty: U512,
site_secret: String,
solution_tx: tokio::sync::mpsc::Sender<FoundBlock>,
limits: Limits,
) -> Arc<Self> {
assert!(
!share_difficulty.is_zero(),
"share difficulty must be non-zero"
);
Arc::new(PoolState {
current_job: Mutex::new(None),
sessions: Mutex::new(HashMap::new()),
tokens: Mutex::new(HashMap::new()),
stats: Mutex::new(PoolStats::default()),
range_counter: AtomicU64::new(0),
share_difficulty,
site_secret,
limits,
solution_tx,
})
}
/// Install a new job (from the upstream node or the standalone generator).
/// Existing sessions keep their job snapshot and remain solvable until TTL.
pub fn set_job(&self, job: Job) {
log::info!(
"New job {}: header=0x{} network_difficulty={}",
job.job_id,
hex::encode(job.header),
pow_core::format_u512(job.network_difficulty)
);
*self.current_job.lock().unwrap() = Some(job);
}
pub fn current_job(&self) -> Option<Job> {
self.current_job.lock().unwrap().clone()
}
/// Drop the current job (e.g. upstream disconnected). New sessions will
/// see `no_job_available` until the next `set_job`.
pub fn clear_job(&self) {
if self.current_job.lock().unwrap().take().is_some() {
log::info!("Cleared current job (upstream unavailable)");
}
}
/// Issue a new captcha session with a disjoint nonce range.
pub fn issue_session(&self) -> Result<Session, &'static str> {
let job = self.current_job().ok_or("no_job_available")?;
if self.sessions.lock().unwrap().len() >= self.limits.max_sessions {
return Err("at_capacity");
}
// Carve the next disjoint 2^64-nonce slice. The counter is 64 bits and
// slices are 2^64 wide, so slices live in the bottom 2^128 of the U512
// nonce space and never collide with each other.
let index = self.range_counter.fetch_add(1, Ordering::Relaxed);
let nonce_start = U512::from(index) << SESSION_RANGE_BITS;
let nonce_end = nonce_start + (U512::one() << SESSION_RANGE_BITS);
let session = Session {
id: random_id(),
job,
nonce_start,
nonce_end,
share_difficulty: self.share_difficulty,
issued_at: Instant::now(),
solved: false,
};
self.sessions
.lock()
.unwrap()
.insert(session.id.clone(), session.clone());
self.stats.lock().unwrap().sessions_issued += 1;
Ok(session)
}
/// Verify a submitted share and, if valid, mint a single-use token.
pub fn submit_share(&self, session_id: &str, nonce: U512) -> ShareOutcome {
let session = {
let mut sessions = self.sessions.lock().unwrap();
match sessions.get_mut(session_id) {
None => return self.reject("unknown_session"),
Some(s) => {
if s.solved {
return self.reject("session_already_solved");
}
if s.issued_at.elapsed() > SESSION_TTL {
sessions.remove(session_id);
return self.reject("session_expired");
}
// Mark solved optimistically; unmark on verification failure
// would allow retries, but a failed share means a buggy or
// malicious client, so we burn the session either way.
s.solved = true;
s.clone()
}
}
};
if nonce < session.nonce_start || nonce >= session.nonce_end {
return self.reject("nonce_out_of_range");
}
let (share_valid, hash) = pow_core::is_valid_nonce(
session.job.header,
nonce.to_big_endian(),
session.share_difficulty,
);
if !share_valid {
return self.reject("share_below_target");
}
// Jackpot check: does this share meet full network difficulty for the
// job it was issued against? Only submit if that job is still current.
// Target derivation delegates to pow-core's canonical JobContext.
let network_target =
pow_core::JobContext::new(session.job.header, session.job.network_difficulty).target;
let mut block_found = false;
if hash < network_target {
let still_current = self
.current_job()
.map(|j| j.job_id == session.job.job_id)
.unwrap_or(false);
if still_current {
log::info!(
"BLOCK FOUND by captcha share! job={} nonce={:x}",
session.job.job_id,
nonce
);
// This is the revenue event: count it and be loud if the
// upstream queue can't take it.
match self.solution_tx.try_send(FoundBlock {
job_id: session.job.job_id.clone(),
nonce,
}) {
Ok(()) => {
block_found = true;
self.stats.lock().unwrap().blocks_found += 1;
}
Err(e) => {
log::error!(
"DROPPED block solution for job {}: upstream queue unavailable ({})",
session.job.job_id,
e
);
}
}
}
}
let token = random_id();
{
let mut tokens = self.tokens.lock().unwrap();
// A full token map means someone is farming shares faster than
// TTL expiry; refuse rather than grow without bound. The client
// paid hashes for this, so make the refusal explicit.
if tokens.len() >= self.limits.max_tokens {
return self.reject("at_capacity");
}
tokens.insert(
token.clone(),
ShareToken {
created_at: Instant::now(),
created_unix: unix_now(),
consumed: false,
},
);
}
self.stats.lock().unwrap().shares_accepted += 1;
ShareOutcome::Accepted { token, block_found }
}
/// Redeem a share token (the reCAPTCHA/Turnstile "siteverify" semantics):
/// valid exactly once, only with the correct site secret.
pub fn verify_token(&self, secret: &str, token: &str) -> Result<u64, &'static str> {
if !constant_time_eq::constant_time_eq(secret.as_bytes(), self.site_secret.as_bytes()) {
return Err("invalid_secret");
}
let mut tokens = self.tokens.lock().unwrap();
match tokens.get_mut(token) {
None => Err("invalid_token"),
Some(t) if t.consumed => Err("token_already_consumed"),
Some(t) if t.created_at.elapsed() > TOKEN_TTL => {
tokens.remove(token);
Err("token_expired")
}
Some(t) => {
t.consumed = true;
let ts = t.created_unix;
self.stats.lock().unwrap().tokens_verified += 1;
Ok(ts)
}
}
}
pub fn stats(&self) -> PoolStats {
self.stats.lock().unwrap().clone()
}
/// Drop expired sessions and tokens. Called periodically.
pub fn gc(&self) {
self.sessions
.lock()
.unwrap()
.retain(|_, s| s.issued_at.elapsed() <= SESSION_TTL);
self.tokens
.lock()
.unwrap()
.retain(|_, t| t.created_at.elapsed() <= TOKEN_TTL);
}
fn reject(&self, reason: &'static str) -> ShareOutcome {
self.stats.lock().unwrap().shares_rejected += 1;
ShareOutcome::Rejected(reason)
}
}
#[cfg(test)]
mod tests {
use super::*;
fn test_state(
share_difficulty: u64,
) -> (Arc<PoolState>, tokio::sync::mpsc::Receiver<FoundBlock>) {
let (tx, rx) = tokio::sync::mpsc::channel(4);
let state = PoolState::new(
U512::from(share_difficulty),
"secret".into(),
tx,
Limits::default(),
);
state.set_job(Job {
job_id: "1".into(),
header: [7u8; 32],
network_difficulty: U512::MAX, // effectively unreachable
});
(state, rx)
}
/// Brute-force a valid share within the session's range.
fn solve(session: &Session) -> U512 {
let mut nonce = session.nonce_start;
loop {
let (ok, _) = pow_core::is_valid_nonce(
session.job.header,
nonce.to_big_endian(),
session.share_difficulty,
);
if ok {
return nonce;
}
nonce += U512::one();
}
}
#[test]
fn accepts_valid_share_and_verifies_token_once() {
let (state, _rx) = test_state(2); // ~2 hashes per solve
let session = state.issue_session().unwrap();
let nonce = solve(&session);
let token = match state.submit_share(&session.id, nonce) {
ShareOutcome::Accepted { token, block_found } => {
assert!(!block_found);
token
}
ShareOutcome::Rejected(r) => panic!("rejected: {r}"),
};
assert!(state.verify_token("secret", &token).is_ok());
assert_eq!(
state.verify_token("secret", &token),
Err("token_already_consumed")
);
assert_eq!(state.verify_token("wrong", &token), Err("invalid_secret"));
}
#[test]
fn rejects_out_of_range_nonce() {
let (state, _rx) = test_state(1); // difficulty 1: every nonce is a valid hash
let session = state.issue_session().unwrap();
// A nonce outside the assigned slice must be rejected even though its
// hash trivially meets the share target.
let outside = session.nonce_end;
match state.submit_share(&session.id, outside) {
ShareOutcome::Rejected("nonce_out_of_range") => {}
other => panic!(
"expected out-of-range rejection, got {:?}",
matches_str(&other)
),
}
}
#[test]
fn burns_session_after_one_submission() {
let (state, _rx) = test_state(1);
let session = state.issue_session().unwrap();
let nonce = session.nonce_start;
assert!(matches!(
state.submit_share(&session.id, nonce),
ShareOutcome::Accepted { .. }
));
match state.submit_share(&session.id, nonce) {
ShareOutcome::Rejected("session_already_solved") => {}
other => panic!("expected burned session, got {:?}", matches_str(&other)),
}
}
#[test]
fn disjoint_ranges() {
let (state, _rx) = test_state(1);
let a = state.issue_session().unwrap();
let b = state.issue_session().unwrap();
assert!(a.nonce_end <= b.nonce_start || b.nonce_end <= a.nonce_start);
}
#[test]
fn block_found_signalled_when_share_meets_network_difficulty() {
let (tx, mut rx) = tokio::sync::mpsc::channel(4);
// Network difficulty == share difficulty == 2: any valid share is a block.
let state = PoolState::new(U512::from(2u64), "secret".into(), tx, Limits::default());
state.set_job(Job {
job_id: "1".into(),
header: [9u8; 32],
network_difficulty: U512::from(2u64),
});
let session = state.issue_session().unwrap();
let nonce = solve(&session);
match state.submit_share(&session.id, nonce) {
ShareOutcome::Accepted { block_found, .. } => assert!(block_found),
ShareOutcome::Rejected(r) => panic!("rejected: {r}"),
}
let block = rx
.try_recv()
.expect("block solution should be queued upstream");
assert_eq!(block.job_id, "1");
assert_eq!(block.nonce, nonce);
}
#[test]
fn session_cap_rejects_flood() {
let (tx, _rx) = tokio::sync::mpsc::channel(4);
let state = PoolState::new(
U512::from(1u64),
"secret".into(),
tx,
Limits {
max_sessions: 2,
max_tokens: 2,
},
);
state.set_job(Job {
job_id: "1".into(),
header: [7u8; 32],
network_difficulty: U512::MAX,
});
assert!(state.issue_session().is_ok());
assert!(state.issue_session().is_ok());
assert!(matches!(state.issue_session(), Err("at_capacity")));
}
#[test]
fn dropped_block_does_not_count_or_flag() {
// Zero-capacity channel: try_send always fails, simulating a stalled
// upstream. The share must still be accepted (the user did the work),
// but block_found must be false and blocks_found must stay 0.
let (tx, rx) = tokio::sync::mpsc::channel(1);
drop(rx); // closed channel -> try_send errors
let state = PoolState::new(U512::from(2u64), "secret".into(), tx, Limits::default());
state.set_job(Job {
job_id: "1".into(),
header: [9u8; 32],
network_difficulty: U512::from(2u64),
});
let session = state.issue_session().unwrap();
let nonce = solve(&session);
match state.submit_share(&session.id, nonce) {
ShareOutcome::Accepted { block_found, .. } => assert!(!block_found),
ShareOutcome::Rejected(r) => panic!("rejected: {r}"),
}
assert_eq!(state.stats().blocks_found, 0);
}
fn matches_str(o: &ShareOutcome) -> &'static str {
match o {
ShareOutcome::Accepted { .. } => "accepted",
ShareOutcome::Rejected(r) => r,
}
}
}
+192
View File
@@ -0,0 +1,192 @@
//! Job sources: either a QUIC connection to a real quantus-node (speaking the
//! external miner protocol), or a standalone generator for demos/tests.
use std::net::SocketAddr;
use std::sync::Arc;
use std::time::Duration;
use primitive_types::U512;
use quantus_miner_api::{
read_message, write_message, ApiResponseStatus, MinerMessage, MiningResult,
};
use tokio::sync::mpsc::Receiver;
use crate::state::{FoundBlock, Job, PoolState};
/// Connect to a node as an external miner and keep the pool's job current.
/// Solutions arriving on `solutions` are pushed upstream as JobResults.
///
/// Transient disconnects (node restart, network blip) clear the current job
/// and reconnect with backoff — the pool process stays up. Only
/// [`quic_transport::PermanentConnectError`] (bad pin / rejected auth) returns
/// `Err` so `main` can shut down the HTTP side.
pub async fn run_node_client(
state: Arc<PoolState>,
node_addr: SocketAddr,
auth_token: String,
tls_cert_sha256: String,
mut solutions: Receiver<FoundBlock>,
) -> Result<(), quic_transport::PermanentConnectError> {
let mut reconnect_delay = Duration::from_secs(1);
const MAX_RECONNECT_DELAY: Duration = Duration::from_secs(30);
// A block taken off the channel but not yet acknowledged by a successful
// upstream write. Kept across reconnects so a failed write doesn't drop
// the block (the node may still accept it after reconnection if the job
// hasn't moved on).
let mut pending: Option<FoundBlock> = None;
loop {
log::info!("Connecting to node at {}...", node_addr);
match quic_transport::connect(node_addr, &auth_token, &tls_cert_sha256).await {
Ok((connection, mut send, mut recv)) => {
log::info!("Connected to node at {}", node_addr);
let mut authenticated = false;
loop {
// Retry any unsubmitted block before doing anything else.
if let Some(block) = pending.take() {
match submit_block(&mut send, &block).await {
Ok(()) => {
log::info!(
"Submitted block solution to node (job {})",
block.job_id
);
}
Err(e) => {
log::error!("Failed to submit block solution, will retry: {}", e);
pending = Some(block);
break; // reconnect and retry
}
}
}
tokio::select! {
biased;
reason = connection.closed() => {
let msg = reason.to_string();
if !authenticated && msg.to_ascii_lowercase().contains("auth") {
state.clear_job();
return Err(quic_transport::PermanentConnectError(format!(
"node rejected miner auth ({msg}); check --auth-token / miner-auth-token"
)));
}
log::warn!("Node connection closed: {}", msg);
break;
}
// A captcha share met network difficulty: submit it.
block = solutions.recv() => {
if let Some(block) = block {
// Park it in `pending`; the top of the loop
// submits it and keeps it on write failure.
pending = Some(block);
}
}
msg = read_message(&mut recv) => {
match msg {
Ok(MinerMessage::NewJob(request)) => {
authenticated = true;
match parse_job(&request.job_id, &request.mining_hash, &request.difficulty) {
Ok(job) => state.set_job(job),
Err(e) => log::warn!("Ignoring malformed job from node: {}", e),
}
}
Ok(other) => {
log::warn!("Unexpected message from node: {:?}", other);
}
Err(e) => {
log::warn!("Read error from node: {}", e);
break;
}
}
}
}
}
// Node gone / stream dropped: stop handing out captchas on a
// stale header until we reconnect and get a fresh NewJob.
state.clear_job();
if authenticated {
reconnect_delay = Duration::from_secs(1);
}
}
Err(e) => {
if let Some(perm) = e.downcast_ref::<quic_transport::PermanentConnectError>() {
state.clear_job();
return Err(quic_transport::PermanentConnectError(perm.0.clone()));
}
log::warn!("Failed to connect to node: {}", e);
state.clear_job();
}
}
log::info!("Reconnecting in {:?}...", reconnect_delay);
tokio::time::sleep(reconnect_delay).await;
reconnect_delay = (reconnect_delay * 2).min(MAX_RECONNECT_DELAY);
}
}
async fn submit_block(send: &mut quinn::SendStream, block: &FoundBlock) -> std::io::Result<()> {
let result = MiningResult {
status: ApiResponseStatus::Completed,
job_id: block.job_id.clone(),
nonce: Some(format!("{:x}", block.nonce)),
work: Some(hex::encode(block.nonce.to_big_endian())),
hash_count: 0,
elapsed_time: 0.0,
miner_id: None,
};
write_message(send, &MinerMessage::JobResult(result)).await
}
fn parse_job(job_id: &str, mining_hash: &str, difficulty: &str) -> anyhow::Result<Job> {
let bytes = hex::decode(mining_hash)?;
let header: [u8; 32] = bytes
.try_into()
.map_err(|_| anyhow::anyhow!("mining_hash must be 32 bytes"))?;
let network_difficulty =
U512::from_dec_str(difficulty).map_err(|e| anyhow::anyhow!("bad difficulty: {:?}", e))?;
if network_difficulty.is_zero() {
anyhow::bail!("zero difficulty");
}
Ok(Job {
job_id: job_id.to_string(),
header,
network_difficulty,
})
}
/// Standalone mode: synthesize a fresh random job every `interval` so the
/// captcha works without a running node. Solutions are logged and dropped.
pub async fn run_standalone(
state: Arc<PoolState>,
interval: Duration,
mut solutions: Receiver<FoundBlock>,
) {
use rand::RngCore;
let mut counter: u64 = 0;
loop {
let mut header = [0u8; 32];
rand::rng().fill_bytes(&mut header);
counter += 1;
state.set_job(Job {
job_id: format!("standalone-{}", counter),
header,
// Unreachable "network" difficulty: standalone mode never finds blocks.
network_difficulty: U512::MAX,
});
tokio::select! {
_ = tokio::time::sleep(interval) => {}
block = solutions.recv() => {
if let Some(block) = block {
log::info!("(standalone) would submit block for job {}", block.job_id);
}
}
}
}
}
+1 -6
View File
@@ -18,7 +18,6 @@ default = ["baseline", "std"]
# std feature wires through to dependencies that have separate std/no_std builds.
std = [
"primitive-types/std",
"qp-poseidon-core/std",
]
# Baseline/reference implementation using BigUint-backed modular exponentiation.
@@ -34,13 +33,9 @@ simd-poseidon2 = []
gpu-interop = []
[dependencies]
log = { workspace = true }
primitive-types = { workspace = true }
num-bigint = { workspace = true }
num-traits = { workspace = true }
qp-poseidon-core = { workspace = true }
thiserror = { workspace = true }
anyhow = { workspace = true }
qpow-math = { workspace = true }
[dev-dependencies]
hex = { workspace = true }
+233 -368
View File
@@ -1,423 +1,288 @@
#![cfg_attr(not(feature = "std"), no_std)]
// Local QPoW math core with a compatibility API mirroring the original `qpow-math` crate,
// plus new scaffolding for an optimized path (precompute + incremental evaluation).
//
// This crate intentionally provides:
// - `compat` API: Drop-in functions like `is_valid_nonce` and `get_nonce_distance`
// - `JobContext`: Precomputed constants (m, n, target, threshold) for a given header
// - Incremental helpers: `init_worker_y0`, `step_mul`, and `distance_from_y`
// to enable replacing per-nonce exponentiation with a single modular multiplication.
//
// Notes:
// - Current implementation mirrors the reference algorithm using BigUint-based modular arithmetic.
// - Future work will gate accelerated paths (e.g., Montgomery, SIMD Poseidon2) behind features.
extern crate alloc;
use core::ops::BitXor;
use primitive_types::U512;
use qp_poseidon_core::Poseidon2Core;
use qp_poseidon_core::{Goldilocks, Poseidon2};
#[cfg(feature = "std")]
use log::{debug, error};
pub use qp_poseidon_core::SPONGE_WIDTH;
pub use qpow_math::{get_nonce_hash, is_valid_nonce, mine_range};
pub mod compat {
//! Compatibility layer that mirrors the original `qpow-math` crate API.
use super::*;
/// Check QPoW validity for a given `header` and `nonce` against `threshold`.
///
/// Returns a boolean indicating validity. If you also need the computed distance,
/// use `is_valid_nonce_with_distance`.
pub fn is_valid_nonce(header: [u8; 32], nonce: [u8; 64], threshold: U512) -> bool {
let (ok, _) = is_valid_nonce_with_distance(header, nonce, threshold);
ok
/// Sponge state (canonical u64 felts) after absorbing the 32-byte header and the
/// high 32 bytes of the big-endian nonce — the first two of the five Poseidon2
/// permutations of `get_nonce_hash`. This state is identical for every nonce in a
/// batch as long as incrementing the nonce never carries into its high 256 bits,
/// so GPU kernels can resume the sponge from here and skip 2 of 5 permutations.
pub fn mining_midstate(header: [u8; 32], nonce_high_be: [u8; 32]) -> [u64; SPONGE_WIDTH] {
let poseidon2 = Poseidon2::new();
let mut state = [Goldilocks::ZERO; SPONGE_WIDTH];
for (i, chunk) in header.chunks_exact(4).enumerate() {
state[i] += Goldilocks::from_u64(u32::from_le_bytes(chunk.try_into().unwrap()) as u64);
}
/// Same as `is_valid_nonce`, but also returns the computed distance (U512).
pub fn is_valid_nonce_with_distance(
header: [u8; 32],
nonce: [u8; 64],
threshold: U512,
) -> (bool, U512) {
if nonce == [0u8; 64] {
#[cfg(feature = "std")]
error!(
"is_valid_nonce should not be called with 0 nonce, but was for header: {header:?}"
);
return (false, U512::zero());
}
let distance_achieved = get_nonce_distance(header, nonce);
#[cfg(feature = "std")]
debug!(target: "pow-core", "distance = {distance_achieved}..., threshold = {threshold}...");
(distance_achieved <= threshold, distance_achieved)
poseidon2.permute_mut(&mut state);
for (i, chunk) in nonce_high_be.chunks_exact(4).enumerate() {
state[i] += Goldilocks::from_u64(u32::from_le_bytes(chunk.try_into().unwrap()) as u64);
}
poseidon2.permute_mut(&mut state);
state.map(|g| g.as_canonical_u64())
}
/// Compute the QPoW distance for (header, nonce).
///
/// distance = target XOR H(m^(h + nonce) mod n)
/// where (m, n) are derived deterministically from the header, and H is Poseidon2-512.
pub fn get_nonce_distance(header: [u8; 32], nonce: [u8; 64]) -> U512 {
super::get_nonce_distance_impl(header, nonce)
/// Format a U512 in a human-readable way (scientific notation for large numbers).
pub fn format_u512(n: U512) -> String {
if n.is_zero() {
return "0".to_string();
}
/// Generate a pair (m, n) deterministically from the header.
pub fn get_random_rsa(header: &[u8; 32]) -> (U512, U512) {
super::get_random_rsa_impl(header)
}
/// Check if two numbers are coprime using the Euclidean algorithm.
pub fn is_coprime(a: &U512, b: &U512) -> bool {
super::is_coprime_impl(a, b)
}
/// Miller–Rabin primality test used by `get_random_rsa`.
pub fn is_prime(n: &U512) -> bool {
super::is_prime_impl(n)
}
/// Apply the reference "hash-to-group" function then Poseidon2-512.
pub fn hash_to_group_bigint_sha(h: &U512, m: &U512, n: &U512, solution: &U512) -> U512 {
super::hash_to_group_bigint_sha_impl(h, m, n, solution)
}
/// Reference hash-to-group function: computes m^(h + solution) mod n.
pub fn hash_to_group_bigint(h: &U512, m: &U512, n: &U512, solution: &U512) -> U512 {
super::hash_to_group_bigint_impl(h, m, n, solution)
}
/// Reference modular exponentiation via BigUint.
pub fn mod_pow(base: &U512, exponent: &U512, modulus: &U512) -> U512 {
super::mod_pow_impl(base, exponent, modulus)
}
/// Poseidon2-512 over the big-endian bytes of input U512.
pub fn poseidon2_512(input: U512) -> U512 {
super::poseidon2_512_impl(input)
let s = format!("{}", n);
let len = s.len();
if len <= 12 {
s
} else {
format!("{}e{}", &s[..4], len - 1)
}
}
/// Precomputed context for a single mining job (header + threshold).
///
/// This enables an optimized path:
/// - Precompute (m, n) and target = H(m^(h + 0) mod n) once per job.
/// - For each worker, compute `y0 = m^(h + start_nonce) mod n` once.
/// - For each subsequent nonce, update y = (y * m) mod n (O(1) per step).
/// - Distance at a step is `target XOR H(y)`.
#[derive(Clone, Debug)]
/// Format a hash rate with appropriate units (H/s, KH/s, MH/s, GH/s).
pub fn format_hashrate(hashes_per_sec: f64) -> String {
if hashes_per_sec >= 1_000_000_000.0 {
format!("{:.2} GH/s", hashes_per_sec / 1_000_000_000.0)
} else if hashes_per_sec >= 1_000_000.0 {
format!("{:.2} MH/s", hashes_per_sec / 1_000_000.0)
} else if hashes_per_sec >= 1_000.0 {
format!("{:.2} KH/s", hashes_per_sec / 1_000.0)
} else {
format!("{:.2} H/s", hashes_per_sec)
}
}
/// Job context for PoW mining with Poseidon2 hash_squeeze_twice
#[derive(Debug, Clone)]
pub struct JobContext {
pub header: [u8; 32],
pub header_int: U512,
pub threshold: U512,
pub m: U512,
pub n: U512,
pub difficulty: U512,
pub target: U512,
}
impl JobContext {
/// Build a new context by deriving (m, n) and target from the header.
pub fn new(header: [u8; 32], threshold: U512) -> Self {
let header_int = U512::from_big_endian(&header);
let (m, n) = get_random_rsa_impl(&header);
let target = hash_to_group_bigint_sha_impl(&header_int, &m, &n, &U512::zero());
/// Build a new context from header and difficulty.
///
/// # Panics
///
/// Panics if `difficulty` is zero (division by zero in target calculation).
/// Callers must validate that difficulty is non-zero before calling this function.
pub fn new(header: [u8; 32], difficulty: U512) -> Self {
// In Bitcoin-style PoW, target = max_target / difficulty
let max_target = U512::MAX;
let target = max_target / difficulty;
JobContext {
header,
header_int,
threshold,
m,
n,
difficulty,
target,
}
}
}
/// Compute y0 = m^(h + start_nonce) mod n for a worker's starting nonce.
///
/// This is the one-time exponentiation cost per worker/thread. Subsequent steps can
/// use `step_mul` to advance y with a single modular multiplication.
pub fn init_worker_y0(ctx: &JobContext, start_nonce: U512) -> U512 {
let sum = ctx.header_int.saturating_add(start_nonce);
mod_pow_impl(&ctx.m, &sum, &ctx.n)
/// Initialize a worker with starting nonce (no special initialization needed for Bitcoin-style)
pub fn init_worker_nonce(start_nonce: U512) -> U512 {
start_nonce
}
/// Advance y by one nonce: y <- y * m (mod n).
pub fn step_mul(ctx: &JobContext, y: U512) -> U512 {
mod_mul_impl(&y, &ctx.m, &ctx.n)
/// Advance nonce by one (simple increment for Bitcoin-style)
pub fn step_nonce(nonce: U512) -> U512 {
nonce.saturating_add(U512::from(1u64))
}
/// Compute distance for the current y:
/// distance = target XOR Poseidon2_512(y)
pub fn distance_from_y(ctx: &JobContext, y: U512) -> U512 {
let hashed = poseidon2_512_impl(y);
ctx.target.bitxor(hashed)
/// Compute hash for the current nonce using Poseidon2 hash_squeeze_twice
pub fn hash_from_nonce(ctx: &JobContext, nonce: U512) -> U512 {
let nonce_bytes = nonce.to_big_endian();
qpow_math::get_nonce_hash(ctx.header, nonce_bytes)
}
/// Convenience: compute distance for an arbitrary nonce using the context.
pub fn distance_for_nonce(ctx: &JobContext, nonce: U512) -> U512 {
let y = mod_pow_impl(&ctx.m, &ctx.header_int.saturating_add(nonce), &ctx.n);
distance_from_y(ctx, y)
/// Check if hash meets difficulty target
pub fn is_valid_hash(ctx: &JobContext, hash: U512) -> bool {
hash < ctx.target
}
/// Convenience: check if a distance is valid under the context's threshold.
pub fn is_valid_distance(ctx: &JobContext, distance: U512) -> bool {
distance <= ctx.threshold
}
/// Mine a range of nonces starting from start_nonce
pub fn mine_nonce_range(ctx: &JobContext, start_nonce: U512, steps: u64) -> Option<(U512, U512)> {
let start_nonce_bytes = start_nonce.to_big_endian();
/// Reference distance computation used by the compat layer.
fn get_nonce_distance_impl(header: [u8; 32], nonce: [u8; 64]) -> U512 {
if nonce == [0u8; 64] {
#[cfg(feature = "std")]
debug!(target: "pow-core", "zero nonce");
return U512::zero();
if let Some((nonce_bytes, hash)) =
mine_range(ctx.header, start_nonce_bytes, steps, ctx.difficulty)
{
let nonce = U512::from_big_endian(&nonce_bytes);
Some((nonce, hash))
} else {
None
}
let (m, n) = get_random_rsa_impl(&header);
let header_int = U512::from_big_endian(&header);
let nonce_int = U512::from_big_endian(&nonce);
let target = hash_to_group_bigint_sha_impl(&header_int, &m, &n, &U512::zero());
let nonce_element = hash_to_group_bigint_sha_impl(&header_int, &m, &n, &nonce_int);
let distance = target.bitxor(nonce_element);
#[cfg(feature = "std")]
debug!(target: "pow-core", "distance = {distance}");
distance
}
/// Generates a pair of RSA-style numbers (m, n) deterministically from input header.
///
/// - m: 256-bit derived via Poseidon2-256(header)
/// - n: 512-bit derived via Poseidon2-512(header), iteratively rehashed until valid:
/// (odd, composite, coprime with m, and n > m)
fn get_random_rsa_impl(header: &[u8; 32]) -> (U512, U512) {
let poseidon = Poseidon2Core::new();
// m from Poseidon2-256
let m_bytes = poseidon.hash_no_pad_bytes(header);
let m = U512::from_big_endian(&m_bytes);
// initial n from Poseidon2-512
let mut n_bytes = poseidon.hash_512(&m_bytes);
let mut n = U512::from_big_endian(&n_bytes);
// Keep hashing until n satisfies constraints
while n % 2u32 == U512::zero() || n <= m || !is_coprime_impl(&m, &n) || is_prime_impl(&n) {
n_bytes = poseidon.hash_512(&n_bytes);
n = U512::from_big_endian(&n_bytes);
}
(m, n)
}
/// Check if two numbers are coprime using the Euclidean algorithm.
fn is_coprime_impl(a: &U512, b: &U512) -> bool {
let mut x = *a;
let mut y = *b;
while y != U512::zero() {
let tmp = y;
y = x % y;
x = tmp;
}
x == U512::one()
}
/// Hash-to-group then Poseidon2-512.
///
/// Note: The reference calls `hash_to_group_bigint` followed by an additional Poseidon2-512.
fn hash_to_group_bigint_sha_impl(h: &U512, m: &U512, n: &U512, solution: &U512) -> U512 {
let result = hash_to_group_bigint_impl(h, m, n, solution);
poseidon2_512_impl(result)
}
/// Reference hash-to-group big-integer function (no chunk splitting).
/// Computes sum = h + solution; then y = m^sum mod n.
fn hash_to_group_bigint_impl(h: &U512, m: &U512, n: &U512, solution: &U512) -> U512 {
let sum = h.saturating_add(*solution);
mod_pow_impl(m, &sum, n)
}
/// Reference modular exponentiation using BigUint square-and-multiply.
fn mod_pow_impl(base: &U512, exponent: &U512, modulus: &U512) -> U512 {
if *modulus == U512::zero() {
panic!("Modulus cannot be zero");
}
use num_bigint::BigUint;
use num_traits::{One, Zero};
// Convert inputs to BigUint
let mut base = BigUint::from_bytes_be(&base.to_big_endian());
let mut exp = BigUint::from_bytes_be(&exponent.to_big_endian());
let modulus = BigUint::from_bytes_be(&modulus.to_big_endian());
// Initialize result as 1
let mut result = BigUint::one();
// Square-and-multiply algorithm
while !exp.is_zero() {
if exp.bit(0) {
result = (result * &base) % &modulus;
}
base = (&base * &base) % &modulus;
exp >>= 1;
}
U512::from_big_endian(&result.to_bytes_be())
}
/// Reference modular multiplication using BigUint, i.e., (a * b) mod n.
fn mod_mul_impl(a: &U512, b: &U512, modulus: &U512) -> U512 {
use num_bigint::BigUint;
if *modulus == U512::zero() {
panic!("Modulus cannot be zero");
}
let a_bi = BigUint::from_bytes_be(&a.to_big_endian());
let b_bi = BigUint::from_bytes_be(&b.to_big_endian());
let n_bi = BigUint::from_bytes_be(&modulus.to_big_endian());
let prod = (a_bi * b_bi) % n_bi;
U512::from_big_endian(&prod.to_bytes_be())
}
/// Miller–Rabin primality test.
///
/// Deterministically selects k=32 bases hashed from `n` using Poseidon2-512 to
/// bound false-positive probability to ~1/2^64 for composites.
fn is_prime_impl(n: &U512) -> bool {
if *n <= U512::one() {
return false;
}
if *n == U512::from(2u32) || *n == U512::from(3u32) {
return true;
}
if *n % U512::from(2u32) == U512::zero() {
return false;
}
// write n-1 as d * 2^r
let mut d = *n - U512::one();
let mut r = 0u32;
while d % U512::from(2u32) == U512::zero() {
d /= U512::from(2u32);
r += 1;
}
// Generate test bases deterministically from n using Poseidon2
let mut bases = [U512::zero(); 32];
let mut base_count = 0;
let poseidon = Poseidon2Core::new();
let mut counter = U512::zero();
while base_count < 32 {
// Hash n concatenated with counter
let mut bytes = [0u8; 128];
let n_bytes = n.to_big_endian();
let counter_bytes = counter.to_big_endian();
bytes[..64].copy_from_slice(&n_bytes);
bytes[64..128].copy_from_slice(&counter_bytes);
let poseidon_bytes = poseidon.hash_512(&bytes);
// Use the hash to generate a base in [2, n-2]
let hash = U512::from_big_endian(&poseidon_bytes);
let base = (hash % (*n - U512::from(4u32))) + U512::from(2u32);
bases[base_count] = base;
base_count += 1;
counter += U512::one();
}
'witness: for base in bases {
let mut x = mod_pow_impl(&base, &d, n);
if x == U512::one() || x == *n - U512::one() {
continue 'witness;
}
// Square r-1 times
for _ in 0..r - 1 {
x = mod_pow_impl(&x, &U512::from(2u32), n);
if x == *n - U512::one() {
continue 'witness;
}
if x == U512::one() {
return false;
}
}
return false;
}
true
}
/// Poseidon2-512 over the big-endian bytes of input `U512`.
fn poseidon2_512_impl(input: U512) -> U512 {
let poseidon = Poseidon2Core::new();
let bytes = input.to_big_endian();
U512::from_big_endian(&poseidon.hash_512(&bytes))
}
#[cfg(test)]
mod tests {
use super::*;
// removed unused helper u512_from_hex
#[test]
fn compat_distance_matches_context_distance() {
// Synthetic header and nonce
fn test_job_context_creation() {
let header = [1u8; 32];
let nonce = [2u8; 64];
let difficulty = U512::from(1000u64);
let dist_compat = compat::get_nonce_distance(header, nonce);
let ctx = JobContext::new(header, difficulty);
let ctx = JobContext::new(header, U512::from(123u64));
let nonce_int = U512::from_big_endian(&nonce);
let dist_ctx = distance_for_nonce(&ctx, nonce_int);
assert_eq!(dist_compat, dist_ctx);
assert_eq!(ctx.header, header);
assert_eq!(ctx.difficulty, difficulty);
assert_eq!(ctx.target, U512::MAX / difficulty);
}
#[test]
fn incremental_step_matches_pow_plus_one() {
fn test_nonce_stepping() {
let start = U512::from(100u64);
let next = step_nonce(start);
assert_eq!(next, U512::from(101u64));
}
#[test]
fn test_hash_computation() {
let header = [1u8; 32];
let difficulty = U512::from(1u64);
let ctx = JobContext::new(header, difficulty);
let nonce = U512::from(123u64);
let hash1 = hash_from_nonce(&ctx, nonce);
let hash2 = hash_from_nonce(&ctx, nonce);
// Same input should produce same hash
assert_eq!(hash1, hash2);
// Hash should not be zero for non-zero nonce
assert_ne!(hash1, U512::zero());
}
#[test]
fn test_different_nonces_different_hashes() {
let header = [2u8; 32];
let difficulty = U512::from(1u64);
let ctx = JobContext::new(header, difficulty);
let nonce1 = U512::from(100u64);
let nonce2 = U512::from(101u64);
let hash1 = hash_from_nonce(&ctx, nonce1);
let hash2 = hash_from_nonce(&ctx, nonce2);
assert_ne!(hash1, hash2);
}
#[test]
fn test_validity_check() {
let header = [3u8; 32];
let threshold = U512::from(99999u64);
let ctx = JobContext::new(header, threshold);
let easy_difficulty = U512::from(1u64);
let ctx = JobContext::new(header, easy_difficulty);
let start = U512::from(1000u64);
let y0 = init_worker_y0(&ctx, start);
let nonce = U512::from(1u64);
let (is_valid, hash) = is_valid_nonce(ctx.header, nonce.to_big_endian(), ctx.difficulty);
// Distance for start+1 computed two ways should match:
// 1) Incremental: step once from y0
// 2) Direct exponentiation with nonce = start+1
let y1_inc = step_mul(&ctx, y0);
let dist_inc = distance_from_y(&ctx, y1_inc);
// With very easy difficulty, should be valid
assert!(is_valid);
assert_ne!(hash, U512::zero());
let direct = mod_pow_impl(
&ctx.m,
&ctx.header_int.saturating_add(start + U512::one()),
&ctx.n,
);
let dist_direct = distance_from_y(&ctx, direct);
assert_eq!(dist_inc, dist_direct);
// Verify hash is actually below target
assert!(hash < ctx.target);
}
#[test]
fn zero_nonce_is_zero_distance() {
let header = [0xABu8; 32];
let nonce = [0u8; 64];
let d = compat::get_nonce_distance(header, nonce);
assert_eq!(d, U512::zero());
fn test_target_calculation() {
let header = [4u8; 32];
let difficulty = U512::from(256u64);
let ctx = JobContext::new(header, difficulty);
let expected_target = U512::MAX / U512::from(256u64);
assert_eq!(ctx.target, expected_target);
}
#[test]
fn test_hash_matches_qpow_math() {
// Test that our JobContext produces the same results as qpow_math directly
let header = [1u8; 32];
let nonce = U512::from(123u64);
let difficulty = U512::from(1000u64);
let ctx = JobContext::new(header, difficulty);
let hash_ctx = hash_from_nonce(&ctx, nonce);
let nonce_bytes = nonce.to_big_endian();
let hash_direct = qpow_math::get_nonce_hash(header, nonce_bytes);
assert_eq!(hash_ctx, hash_direct);
}
#[test]
fn test_mine_range_functionality() {
let header = [5u8; 32];
let difficulty = U512::from(1u64); // Very easy
let ctx = JobContext::new(header, difficulty);
let start_nonce = U512::from(1u64);
let result = mine_nonce_range(&ctx, start_nonce, 10);
// With very easy difficulty, should find a solution quickly
if let Some((found_nonce, found_hash)) = result {
assert!(found_nonce >= start_nonce);
assert!(found_nonce < start_nonce + U512::from(10u64));
assert!(found_hash < ctx.target);
}
// If no solution found, that's also valid behavior
}
#[test]
fn test_hard_difficulty_no_solution() {
let header = [6u8; 32];
let very_hard_difficulty = U512::MAX; // Impossible difficulty
let ctx = JobContext::new(header, very_hard_difficulty);
let start_nonce = U512::from(1u64);
let result = mine_nonce_range(&ctx, start_nonce, 5);
// With impossible difficulty, should not find solution
assert!(result.is_none());
}
#[test]
fn test_midstate_resumes_to_full_hash() {
let header = [7u8; 32];
let nonce = (U512::from(0xdeadbeefcafeu64) << 300) | U512::from(0x1234567890abcdefu64);
let nonce_be = nonce.to_big_endian();
let mut state =
mining_midstate(header, nonce_be[..32].try_into().unwrap()).map(Goldilocks::from_u64);
let poseidon2 = Poseidon2::new();
for (i, chunk) in nonce_be[32..].chunks_exact(4).enumerate() {
state[i] += Goldilocks::from_u64(u32::from_le_bytes(chunk.try_into().unwrap()) as u64);
}
poseidon2.permute_mut(&mut state);
state[0] += Goldilocks::ONE;
state[1] += Goldilocks::ONE;
poseidon2.permute_mut(&mut state);
let mut hash = [0u8; 64];
for i in 0..4 {
hash[i * 8..(i + 1) * 8].copy_from_slice(&state[i].as_canonical_u64().to_le_bytes());
}
poseidon2.permute_mut(&mut state);
for i in 0..4 {
hash[32 + i * 8..32 + (i + 1) * 8]
.copy_from_slice(&state[i].as_canonical_u64().to_le_bytes());
}
assert_eq!(
U512::from_big_endian(&hash),
qpow_math::get_nonce_hash(header, nonce_be)
);
}
#[test]
#[should_panic(expected = "division by zero")]
fn test_zero_difficulty_panics() {
// Zero difficulty causes division by zero in target calculation.
// Callers MUST validate difficulty > 0 before calling JobContext::new.
let header = [7u8; 32];
let zero_difficulty = U512::zero();
let _ctx = JobContext::new(header, zero_difficulty);
}
}
+15
View File
@@ -0,0 +1,15 @@
[package]
name = "quic-transport"
version.workspace = true
edition.workspace = true
publish = false
description = "Shared QUIC client transport for connecting to a quantus-node's external-miner endpoint"
[dependencies]
anyhow = { workspace = true }
quantus-miner-api = { workspace = true }
quinn = "0.10"
rustls = { version = "0.21", default-features = false, features = ["dangerous_configuration", "quic"] }
serde_json = { workspace = true }
sha2 = "0.10"
tokio = { workspace = true, features = ["macros", "time"] }
+218
View File
@@ -0,0 +1,218 @@
//! Shared QUIC client used by miner-service and pool-service to connect to a
//! quantus-node's external-miner endpoint.
//!
//! The node uses a persisted self-signed certificate. Callers must supply the
//! expected SHA-256 fingerprint of that certificate (lowercase hex); the
//! transport rejects any other server cert.
use std::net::SocketAddr;
use std::sync::Arc;
use std::time::Duration;
use quantus_miner_api::{write_message, MinerMessage, MAX_MESSAGE_SIZE};
use quinn::{ClientConfig, Endpoint};
use rustls::client::ServerCertVerified;
use sha2::{Digest, Sha256};
/// Permanent misconfiguration / auth failure: callers must not reconnect-loop.
#[derive(Debug)]
pub struct PermanentConnectError(pub String);
impl std::fmt::Display for PermanentConnectError {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
write!(f, "{}", self.0)
}
}
impl std::error::Error for PermanentConnectError {}
/// Parse and validate miner auth inputs that never become valid by retrying.
///
/// Call this at process startup (before workers / HTTP) so a bad fingerprint
/// or oversized token exits immediately instead of looping forever.
pub fn validate_auth_config(auth_token: &str, tls_cert_sha256_hex: &str) -> anyhow::Result<()> {
parse_fingerprint(tls_cert_sha256_hex)?;
validate_ready_frame(auth_token)?;
Ok(())
}
/// Parse a 64-hex (optional whitespace/`:` separators) SHA-256 fingerprint.
pub fn parse_fingerprint(tls_cert_sha256_hex: &str) -> anyhow::Result<[u8; 32]> {
normalize_fingerprint(tls_cert_sha256_hex).ok_or_else(|| {
PermanentConnectError("invalid TLS cert SHA-256 fingerprint (expected 64 hex chars)".into())
.into()
})
}
fn validate_ready_frame(auth_token: &str) -> anyhow::Result<()> {
let frame = serde_json::to_vec(&MinerMessage::Ready {
token: auth_token.to_string(),
})
.map_err(|e| PermanentConnectError(format!("failed to serialize Ready frame: {e}")))?;
if frame.len() > MAX_MESSAGE_SIZE as usize {
return Err(PermanentConnectError(format!(
"auth token serializes to a {}-byte Ready frame; max is {} \
(shorten the token or avoid characters that require JSON escaping)",
frame.len(),
MAX_MESSAGE_SIZE
))
.into());
}
Ok(())
}
/// Establish a QUIC connection to the node's external-miner endpoint, open
/// the bidirectional stream, and send the initial `Ready { token }` message.
///
/// `tls_cert_sha256_hex` is the lowercase hex SHA-256 of the node's miner TLS
/// certificate DER (contents of the node's `miner-tls-cert-sha256` file).
///
/// Wrong tokens are rejected by the node closing with "auth failed"; that is
/// returned as [`PermanentConnectError`] so callers do not reconnect forever.
pub async fn connect(
addr: SocketAddr,
auth_token: &str,
tls_cert_sha256_hex: &str,
) -> anyhow::Result<(quinn::Connection, quinn::SendStream, quinn::RecvStream)> {
// Re-check here so library callers that skip startup validation still fail
// closed instead of looping on a deterministic parse error.
let expected = parse_fingerprint(tls_cert_sha256_hex)?;
validate_ready_frame(auth_token)?;
let mut crypto = rustls::ClientConfig::builder()
.with_safe_defaults()
.with_custom_certificate_verifier(Arc::new(PinnedCertVerifier { expected }))
.with_no_client_auth();
// Versioned with the wire protocol (node side: MINER_ALPN). `/2` = the
// authenticated `Ready { token }` protocol; a mismatched node/miner pair
// fails at the TLS handshake with "no application protocol" instead of an
// opaque auth/deserialize error.
crypto.alpn_protocols = vec![b"quantus-miner/2".to_vec()];
let mut client_config = ClientConfig::new(Arc::new(crypto));
let mut transport_config = quinn::TransportConfig::default();
transport_config.keep_alive_interval(Some(Duration::from_secs(5)));
transport_config.max_idle_timeout(Some(Duration::from_secs(15).try_into().unwrap()));
client_config.transport_config(Arc::new(transport_config));
let mut endpoint = Endpoint::client("0.0.0.0:0".parse().unwrap())?;
endpoint.set_default_client_config(client_config);
let connection = match endpoint.connect(addr, "localhost")?.await {
Ok(c) => c,
Err(e) => {
let msg = e.to_string();
// Wrong pin fails the TLS handshake deterministically.
if msg.to_ascii_lowercase().contains("fingerprint") {
return Err(PermanentConnectError(format!(
"TLS certificate pin rejected ({msg}); check --tls-cert-sha256 / \
miner-tls-cert-sha256"
))
.into());
}
return Err(e.into());
}
};
let (mut send, recv) = connection.open_bi().await?;
write_message(
&mut send,
&MinerMessage::Ready {
token: auth_token.to_string(),
},
)
.await?;
// Ready is fire-and-forget on the wire; the node closes immediately on a
// bad token. Wait briefly so that surfaces as a permanent error here
// instead of "connected" + 1s reconnect churn.
const AUTH_REJECT_GRACE: Duration = Duration::from_secs(2);
tokio::select! {
reason = connection.closed() => {
let msg = reason.to_string();
if msg.to_ascii_lowercase().contains("auth") {
return Err(PermanentConnectError(format!(
"node rejected miner auth ({msg}); check --auth-token / miner-auth-token"
))
.into());
}
return Err(anyhow::anyhow!("connection closed during auth handshake: {msg}"));
}
_ = tokio::time::sleep(AUTH_REJECT_GRACE) => {}
}
Ok((connection, send, recv))
}
fn normalize_fingerprint(input: &str) -> Option<[u8; 32]> {
let hex: String = input
.chars()
.filter(|c| !c.is_whitespace() && *c != ':')
.map(|c| c.to_ascii_lowercase())
.collect();
if hex.len() != 64 || !hex.chars().all(|c| c.is_ascii_hexdigit()) {
return None;
}
let mut out = [0u8; 32];
for i in 0..32 {
out[i] = u8::from_str_radix(&hex[i * 2..i * 2 + 2], 16).ok()?;
}
Some(out)
}
/// Accepts only a server certificate whose SHA-256 fingerprint matches.
struct PinnedCertVerifier {
expected: [u8; 32],
}
impl rustls::client::ServerCertVerifier for PinnedCertVerifier {
fn verify_server_cert(
&self,
end_entity: &rustls::Certificate,
_intermediates: &[rustls::Certificate],
_server_name: &rustls::ServerName,
_scts: &mut dyn Iterator<Item = &[u8]>,
_ocsp_response: &[u8],
_now: std::time::SystemTime,
) -> Result<ServerCertVerified, rustls::Error> {
let actual = Sha256::digest(&end_entity.0);
if actual.as_slice() != self.expected.as_slice() {
return Err(rustls::Error::General(
"server certificate SHA-256 fingerprint mismatch".into(),
));
}
Ok(ServerCertVerified::assertion())
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn rejects_short_fingerprint() {
let err = validate_auth_config("token", "nope").unwrap_err();
assert!(
err.downcast_ref::<PermanentConnectError>().is_some(),
"{err}"
);
}
#[test]
fn accepts_valid_fingerprint_and_token() {
let fp = "a".repeat(64);
validate_auth_config("deadbeef", &fp).unwrap();
}
#[test]
fn rejects_token_whose_ready_frame_exceeds_limit() {
let fp = "a".repeat(64);
// Escape-heavy token: raw length under a naive cap can still blow the frame.
let token = "\"".repeat(600);
let err = validate_auth_config(&token, &fp).unwrap_err();
assert!(
err.downcast_ref::<PermanentConnectError>().is_some(),
"{err}"
);
assert!(err.to_string().contains("Ready frame"), "{err}");
}
}
+13
View File
@@ -0,0 +1,13 @@
[package]
name = "solver-wasm"
version.workspace = true
edition.workspace = true
publish = false
description = "Browser WASM solver for Quantus captcha shares (raw C ABI, no wasm-bindgen)"
[lib]
crate-type = ["cdylib", "rlib"]
[dependencies]
primitive-types = { workspace = true }
qpow-math = { workspace = true }
+101
View File
@@ -0,0 +1,101 @@
//! Browser captcha solver: grinds Poseidon2 nonce hashes over a block header.
//!
//! Exposed as a raw C-ABI WASM module (no wasm-bindgen) so it can be built
//! with a bare `cargo build --target wasm32-unknown-unknown` and loaded with
//! minimal JS glue. All I/O goes through one static buffer:
//!
//! ```text
//! offset 0..32 header hash (in)
//! offset 32..96 nonce, 64-byte big-endian (in: start; out: found/next)
//! offset 96..160 share target, 64-byte BE (in)
//! offset 160..224 winning hash, 64-byte BE (out, only when found)
//! ```
//!
//! JS calls `solve(iters)` in chunks (e.g. 5–20k iterations) to keep the
//! worker responsive; a return of 0 means "keep going" (the nonce field has
//! been advanced), 1 means the nonce field now holds a valid share.
use primitive_types::U512;
const HEADER_OFF: usize = 0;
const NONCE_OFF: usize = 32;
const TARGET_OFF: usize = 96;
const HASH_OFF: usize = 160;
const IO_SIZE: usize = 224;
static mut IO: [u8; IO_SIZE] = [0u8; IO_SIZE];
/// Pointer to the shared I/O buffer in WASM linear memory.
#[no_mangle]
pub extern "C" fn io_ptr() -> *mut u8 {
core::ptr::addr_of_mut!(IO) as *mut u8
}
/// Size of the shared I/O buffer, for JS-side sanity checks.
#[no_mangle]
pub extern "C" fn io_len() -> u32 {
IO_SIZE as u32
}
/// Grind up to `iters` nonces. Returns 1 if a share was found.
#[no_mangle]
pub extern "C" fn solve(iters: u32) -> u32 {
let io = unsafe { &mut *core::ptr::addr_of_mut!(IO) };
let mut header = [0u8; 32];
header.copy_from_slice(&io[HEADER_OFF..HEADER_OFF + 32]);
let mut nonce = U512::from_big_endian(&io[NONCE_OFF..NONCE_OFF + 64]);
let target = U512::from_big_endian(&io[TARGET_OFF..TARGET_OFF + 64]);
for _ in 0..iters {
let nonce_bytes = nonce.to_big_endian();
let hash = qpow_math::get_nonce_hash(header, nonce_bytes);
if hash < target {
io[NONCE_OFF..NONCE_OFF + 64].copy_from_slice(&nonce_bytes);
io[HASH_OFF..HASH_OFF + 64].copy_from_slice(&hash.to_big_endian());
return 1;
}
nonce = nonce.saturating_add(U512::one());
}
// Not found: persist progress so the next chunk resumes where we stopped.
io[NONCE_OFF..NONCE_OFF + 64].copy_from_slice(&nonce.to_big_endian());
0
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn solve_matches_pool_verification() {
// Difficulty 4 -> target = MAX/4; expect a solution within a few iters.
let header = [7u8; 32];
let difficulty = U512::from(4u64);
let target = U512::MAX / difficulty;
let io = unsafe { &mut *core::ptr::addr_of_mut!(IO) };
io[HEADER_OFF..HEADER_OFF + 32].copy_from_slice(&header);
let start = U512::from(1u64) << 64; // arbitrary "session range" start
io[NONCE_OFF..NONCE_OFF + 64].copy_from_slice(&start.to_big_endian());
io[TARGET_OFF..TARGET_OFF + 64].copy_from_slice(&target.to_big_endian());
let mut found = 0;
for _ in 0..64 {
found = solve(256);
if found == 1 {
break;
}
}
assert_eq!(found, 1, "should find a share at difficulty 4");
let nonce = U512::from_big_endian(&io[NONCE_OFF..NONCE_OFF + 64]);
let (valid, hash) = qpow_math::is_valid_nonce(header, nonce.to_big_endian(), difficulty);
assert!(
valid,
"pool-side verification must accept the solver's nonce"
);
let reported = U512::from_big_endian(&io[HASH_OFF..HASH_OFF + 64]);
assert_eq!(hash, reported);
}
}
@@ -14,8 +14,8 @@
#
# Notes:
# - CPUAffinity must be a subset of the service’s allowed cpuset (e.g., cgroups).
# - The miner logs the detected cpuset mask at startup and, when metrics are enabled,
# exports a miner_effective_cpus gauge for dashboards.
# - The miner counts CPUs via the process affinity mask and exports a
# miner_effective_cpus gauge on the always-on metrics endpoint.
# - Adjust the CPU list and worker count to match your hardware and cpuset.
#
# Example below assumes an 8‑way logical CPU system (IDs 0‑7).
@@ -40,9 +40,8 @@ IOSchedulingPriority=4
# Default time-sharing policy is fine for CPU-bound workloads when pinned.
CPUSchedulingPolicy=other
# Optional: pin worker count and enable metrics (uncomment and adjust as needed).
# Environment=MINER_ENGINE=cpu-fast
# Environment=MINER_WORKERS=4
# Optional: pin worker count and change the metrics port (uncomment and adjust as needed).
# Environment=MINER_CPU_WORKERS=4
# Environment=MINER_METRICS_PORT=9900
# Environment=RUST_LOG=info,miner=debug
@@ -15,11 +15,11 @@
# - CPUAffinity MUST be a subset of the service’s allowed cpuset (cgroup v2:
# /sys/fs/cgroup/cpuset.cpus.effective). If your deployment already constrains
# the miner with a cpuset, you can omit CPUAffinity here to inherit that mask.
# - The miner logs the detected cpuset mask at startup (debug) and, when metrics
# are enabled, exports miner_effective_cpus for dashboards.
# - Set MINER_WORKERS to match the number of CPUs in your affinity mask if you want
# full utilization; otherwise the miner default (50% of effective CPUs) is used
# when --workers is omitted.
# - The miner counts CPUs via the process affinity mask and exports
# miner_effective_cpus on the always-on metrics endpoint.
# - Set MINER_CPU_WORKERS to match the number of CPUs in your affinity mask if you
# want full utilization; otherwise the miner auto-detects when --cpu-workers is
# omitted.
[Service]
# Bind miner to ALL logical CPUs intended for mining. EDIT this to match your host.
@@ -46,10 +46,9 @@ IOSchedulingPriority=0
TasksMax=infinity
MemoryMax=infinity
# Optional: pin worker count and enable metrics (uncomment and adjust).
# Ensure MINER_WORKERS matches the size of CPUAffinity (or the cpuset mask) to use all CPUs.
# Environment=MINER_ENGINE=cpu-fast
# Environment=MINER_WORKERS=16
# Optional: pin worker count and change the metrics port (uncomment and adjust).
# Ensure MINER_CPU_WORKERS matches the size of CPUAffinity (or the cpuset mask) to use all CPUs.
# Environment=MINER_CPU_WORKERS=16
# Environment=MINER_METRICS_PORT=9900
# Environment=RUST_LOG=info,miner=debug
@@ -64,5 +63,5 @@ MemoryMax=infinity
# and compare with:
# cat /sys/fs/cgroup/cpuset.cpus.effective
#
# - The service logs the cpuset mask at startup and the metrics exporter (if enabled)
# exposes miner_effective_cpus for observability.
# - The always-on metrics exporter exposes miner_effective_cpus for
# observability of the detected CPU count (MINER_METRICS_PORT changes the port).
+20 -8
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@@ -15,20 +15,30 @@
#
# Notes:
# - The miner CLI supports environment variables for all flags (see README):
# MINER_PORT, MINER_METRICS_PORT, MINER_WORKERS, MINER_ENGINE,
# MINER_PROGRESS_CHUNK_MS,
# MINER_MANIP_SOLVED_BLOCKS, MINER_MANIP_BASE_DELAY_NS,
# MINER_MANIP_STEP_BATCH, MINER_MANIP_THROTTLE_CAP.
# MINER_NODE_ADDR, MINER_AUTH_TOKEN_FILE (or MINER_AUTH_TOKEN),
# MINER_TLS_CERT_SHA256_FILE (or MINER_TLS_CERT_SHA256),
# MINER_CPU_WORKERS, MINER_GPU_DEVICES, MINER_GPU_BATCH_SIZE,
# MINER_CPU_BATCH_SIZE, MINER_GPU_THROTTLE_MS, MINER_METRICS_PORT,
# MINER_ALLOW_INTEGRATED, MINER_VERBOSE.
# This unit relies on those env vars (set in /etc/default|/etc/sysconfig) so
# ExecStart can remain stable and simple.
# - The service logs the detected cpuset mask (if any) and emits a
# miner_effective_cpus metric when metrics are enabled.
# - The node requires miner auth: MINER_AUTH_TOKEN_FILE and
# MINER_TLS_CERT_SHA256_FILE (or their inline variants) are mandatory —
# the miner exits at startup without them. Copy the node's
# miner-auth-token and miner-tls-cert-sha256 files somewhere this service
# can read (e.g. /etc/quantus-miner/): ProtectHome=true below blocks
# paths under /home and /root, where the node's base path usually lives.
# - The miner counts CPUs via the process affinity mask (so CPUAffinity=
# is respected) and emits a miner_effective_cpus metric.
# - The Prometheus exporter is ALWAYS on and binds plaintext HTTP on
# 0.0.0.0:9900 by default; MINER_METRICS_PORT only changes the port.
# Firewall the port if the host is reachable from untrusted networks.
[Unit]
Description=Quantus External Miner Service
Wants=network-online.target
After=network-online.target
Documentation=https://github.com/Quantus-Network/quantus-external-miner
Documentation=https://github.com/Quantus-Network/quantus-miner
[Service]
Type=simple
@@ -53,7 +63,9 @@ Environment=RUST_LOG=info
# Launch the miner. All configuration should be passed via environment vars
# (preferred) or via EXTRA_MINER_FLAGS in the env file for additional arguments.
ExecStart=/usr/local/bin/quantus-miner $EXTRA_MINER_FLAGS
# MINER_AUTH_TOKEN_FILE and MINER_TLS_CERT_SHA256_FILE must be set in the env
# file (see readme.md) or the miner exits immediately.
ExecStart=/usr/local/bin/quantus-miner serve $EXTRA_MINER_FLAGS
# Graceful shutdown and restart behavior
Restart=always
+75 -38
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@@ -4,7 +4,7 @@ This directory contains a production-friendly systemd unit and drop-in overrides
Contents
- quantus-miner.service
- A baseline unit file that runs the miner with journald logging and sensible security hardening.
- A service unit file that runs the miner with journald logging and sensible security hardening.
- Uses environment variables for configuration (preferred for stable ExecStart).
- overrides/
- 10-shared-hardware.conf
@@ -18,6 +18,18 @@ Prerequisites
- The quantus-miner binary installed at /usr/local/bin/quantus-miner (or adjust ExecStart).
- A service account (recommended):
- sudo useradd --system --no-create-home --shell /usr/sbin/nologin quantus
- The node's miner auth token and TLS cert fingerprint (required since the node
authenticates miners). The node creates both on first start with
--miner-listen-port and logs their paths (default:
`<base-path>/chains/<chain>/miner-auth-token` and
`<base-path>/chains/<chain>/miner-tls-cert-sha256`). Copy them where the
service can read them — the unit sets ProtectHome=true, so paths under /home
or /root are not readable:
- sudo install -d -m 0755 /etc/quantus-miner
- sudo install -m 0640 -o root -g quantus \
"<base-path>/chains/<chain>/miner-auth-token" /etc/quantus-miner/miner-auth-token
- sudo install -m 0644 \
"<base-path>/chains/<chain>/miner-tls-cert-sha256" /etc/quantus-miner/miner-tls-cert-sha256
Install (unit)
1) Copy the service file
@@ -26,21 +38,22 @@ Install (unit)
2) Create a writable working directory (managed by systemd via StateDirectory)
sudo install -d -o quantus -g quantus /var/lib/quantus-miner
3) (Optional) Provide environment variables
3) Provide environment variables (auth vars are REQUIRED)
- Debian/Ubuntu: sudoedit /etc/default/quantus-miner
- RHEL/CentOS/Fed: sudoedit /etc/sysconfig/quantus-miner
Common variables (examples):
MINER_ENGINE=cpu-fast
MINER_PORT=9833
MINER_METRICS_PORT=9900 # enable Prometheus exporter
MINER_WORKERS=4 # leave unset to use default (50% of effective CPUs)
MINER_PROGRESS_CHUNK_MS=2000
# Throttling engine (cpu-chain-manipulator) knobs:
# MINER_MANIP_SOLVED_BLOCKS=0
# MINER_MANIP_BASE_DELAY_NS=500000
# MINER_MANIP_STEP_BATCH=10000
# MINER_MANIP_THROTTLE_CAP=0
Common variables (examples). Note: systemd EnvironmentFile= does not strip
inline comments — keep each assignment on its own line with nothing after
the value.
MINER_NODE_ADDR=127.0.0.1:9833
# Required: node auth token + TLS cert pin (see Prerequisites)
MINER_AUTH_TOKEN_FILE=/etc/quantus-miner/miner-auth-token
MINER_TLS_CERT_SHA256_FILE=/etc/quantus-miner/miner-tls-cert-sha256
# CPU worker threads; leave unset to auto-detect (~50% of available CPUs)
MINER_CPU_WORKERS=4
MINER_GPU_DEVICES=0
# Prometheus exporter port (the exporter is always on; this only changes the port)
MINER_METRICS_PORT=9900
# Extra CLI flags (kept stable ExecStart):
# EXTRA_MINER_FLAGS="--some-future-flag value"
@@ -65,31 +78,44 @@ Dedicated hardware (miner only)
sudo systemctl restart quantus-miner
Configuration reference (environment variables)
- MINER_ENGINE
- cpu-fast (default), cpu-baseline, cpu-chain-manipulator
- gpu-cuda, gpu-opencl are placeholders; selecting them fails with a clear error.
- MINER_PORT
- HTTP API port (default 9833)
- MINER_NODE_ADDR
- Address of the node's miner QUIC endpoint (default 127.0.0.1:9833).
- MINER_AUTH_TOKEN_FILE (required, or MINER_AUTH_TOKEN inline)
- Path to a copy of the node's miner-auth-token file. The file variant is
preferred so the secret stays off the command line and out of `systemctl show`.
- MINER_TLS_CERT_SHA256_FILE (required, or MINER_TLS_CERT_SHA256 inline)
- Path to a copy of the node's miner-tls-cert-sha256 file (the fingerprint is
also printed in the node's startup logs).
- MINER_CPU_WORKERS
- CPU worker threads. If unset, auto-detected.
- MINER_GPU_DEVICES
- Number of GPU devices to use. If unset, auto-detected.
- MINER_GPU_BATCH_SIZE / MINER_CPU_BATCH_SIZE
- Nonces/hashes per cancellation check (defaults 1000000 / 10000).
- MINER_GPU_THROTTLE_MS
- Delay between GPU batches in milliseconds (default 0 = no throttle).
- MINER_METRICS_PORT
- Enable Prometheus exporter when set (e.g., 9900). If unset, metrics exporter is disabled.
- MINER_WORKERS
- Worker threads (logical CPUs). If unset, defaults to ~50% of effective CPUs (clamped to [1, effective-1]).
- MINER_PROGRESS_CHUNK_MS
- Target milliseconds for per-thread progress updates (default 2000ms).
- Throttling engine (cpu-chain-manipulator) knobs
- MINER_MANIP_SOLVED_BLOCKS, MINER_MANIP_BASE_DELAY_NS, MINER_MANIP_STEP_BATCH, MINER_MANIP_THROTTLE_CAP
- Prometheus exporter port (default 9900). The exporter is ALWAYS on and
binds plaintext HTTP on all interfaces (0.0.0.0); this variable only
changes the port — there is no disable or loopback-only option. Firewall
the port or restrict it to your monitoring network.
- MINER_ALLOW_INTEGRATED
- Allow integrated GPUs even when discrete GPUs are present.
- EXTRA_MINER_FLAGS
- Optional extra CLI flags appended to ExecStart.
CPU affinity, cpusets, and workers
- The miner detects the effective CPU capacity (logical CPUs) visible to the process by preferring cgroup v2 cpuset (cpuset.cpus.effective), falling back to v1, else using all logical CPUs.
- At startup (debug level), the miner logs the detected cpuset mask (if any).
- A Prometheus gauge miner_effective_cpus is emitted (when metrics are enabled) with the effective count for dashboards/alerts.
- If --workers (or MINER_WORKERS) exceeds effective CPUs, it is clamped and a warning is logged.
- If omitted, the miner defaults to ~50% of effective CPUs (but always at least 1 and less than or equal to effective-1).
- The miner counts available CPUs via the process CPU affinity mask (num_cpus),
so a systemd CPUAffinity= setting (or a cgroup cpuset) is reflected in the count.
- If MINER_CPU_WORKERS is unset, the miner uses ~50% of the detected CPUs
(at least 1) and logs the choice at startup ("Auto-detected N CPU workers").
- An explicit MINER_CPU_WORKERS value is used as-is — it is NOT clamped to the
affinity mask, so an oversized value oversubscribes the pinned CPUs.
- A Prometheus gauge miner_effective_cpus is emitted with the detected count for dashboards/alerts.
- When pinning CPUAffinity at the systemd level:
- Ensure CPUAffinity is a subset of the cgroup cpuset mask.
- Consider setting MINER_WORKERS to match the number of CPUs in the affinity mask if you want full utilization, or rely on the default 50% policy.
- Set MINER_CPU_WORKERS to the number of CPUs in the affinity mask for full
utilization, or leave it unset for the ~50% default.
Security hardening (in the unit)
- NoNewPrivileges=true
@@ -101,6 +127,9 @@ Security hardening (in the unit)
- RestrictSUIDSGID=true
- SystemCallFilter=@system-service
Adjust or relax as needed for your environment.
Note: the Prometheus exporter always listens on 0.0.0.0:<MINER_METRICS_PORT>
(default 9900) — the unit cannot disable it or bind it to loopback. Firewall
the port if the host is reachable from untrusted networks.
Validation and troubleshooting
- Check service status and logs:
@@ -110,20 +139,28 @@ Validation and troubleshooting
taskset -cp "$pid"
- Verify cpuset mask (cgroup v2):
cat /sys/fs/cgroup/cpuset.cpus.effective
- Metrics:
- If MINER_METRICS_PORT is set, curl http://127.0.0.1:<port>/metrics
- Metrics (always on, default port 9900):
- curl http://127.0.0.1:${MINER_METRICS_PORT:-9900}/metrics
- Look for miner_effective_cpus and per-job/thread metrics.
- Common pitfalls:
- ExecStart path wrong (ensure /usr/local/bin/quantus-miner exists and is executable).
- Service user/group missing (create quantus or adjust User/Group).
- Miner exits immediately with "miner auth token required" / "TLS cert fingerprint required":
set MINER_AUTH_TOKEN_FILE and MINER_TLS_CERT_SHA256_FILE in the env file (see Prerequisites).
- Auth/TLS files unreadable: ProtectHome=true blocks /home and /root; copy the
files to /etc/quantus-miner/ and make them readable by the quantus user.
- Node rejects the miner after the node's base path changed or its credential
files (miner-auth-token, miner-tls-cert.der/-key.der) were deleted and
regenerated: re-copy both files and restart. (A plain purge-chain does NOT
rotate them — it removes only the database, so the same token and cert are
reloaded on the next start.)
- CPUAffinity not a subset of the cgroup cpuset (adjust cpuset or affinity).
- MINER_ENGINE set to gpu-* (currently unimplemented, exits with clear error).
- Insufficient permissions to write WorkingDirectory (systemd StateDirectory creates /var/lib/quantus-miner with correct ownership).
Operational tips
- For shared machines: prefer 10-shared-hardware.conf and leave MINER_WORKERS unset (defaults to ~50%).
- For dedicated machines: use 20-dedicated-hardware.conf and set MINER_WORKERS to the number of CPUs in CPUAffinity (or omit CPUAffinity to inherit cpuset).
- Use RUST_LOG=info,miner=debug temporarily to verify startup detection (cpuset mask, effective CPUs) and to observe mining loop behavior; then turn back down to reduce log volume.
- For shared machines: prefer 10-shared-hardware.conf and leave MINER_CPU_WORKERS unset (auto-detect).
- For dedicated machines: use 20-dedicated-hardware.conf and set MINER_CPU_WORKERS to the number of CPUs in CPUAffinity (or omit CPUAffinity to inherit cpuset).
- Use RUST_LOG=info,miner=debug temporarily to verify startup detection (worker auto-detection, GPU discovery) and to observe mining loop behavior; then turn back down to reduce log volume.
Support
- Repository: https://github.com/Quantus-Network/quantus-external-miner
- Repository: https://github.com/Quantus-Network/quantus-miner
+1 -1
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@@ -1,4 +1,4 @@
[toolchain]
channel = "stable"
channel = "1.93.0"
components = ["clippy", "rustfmt"]
profile = "minimal"
-48
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@@ -1,48 +0,0 @@
/*!
Deprecated root library entrypoint.
This repository has been restructured into a Cargo workspace to provide clear
separation of concerns and to enable aggressive optimization of the mining core.
Use the new workspace crates instead of the old root library:
- crates/miner-cli
- The CLI binary for running the external miner service.
- Examples:
- cargo run -p miner-cli -- --port 9833
- cargo run -p miner-cli -- --port 9833 --metrics-port 9900
- cargo run -p miner-cli -- --workers 4
- crates/miner-service
- The service layer: HTTP API (compatible with the node), job orchestration,
and engine abstraction (CPU/GPU backends).
- crates/pow-core
- The QPoW math core (local fork/superset of qpow-math) with a compatibility
API and new optimized paths for future refactoring (e.g., precomputation,
incremental evaluation, Montgomery multiplication).
- crates/engine-cpu
- CPU mining engine(s) implementing the unified engine trait. Contains the
baseline/reference engine and will host the optimized incremental/Montgomery
engine.
- crates/engine-gpu-cuda (optional, scaffold)
- Placeholder for a CUDA-based GPU engine.
- crates/engine-gpu-opencl (optional, scaffold)
- Placeholder for an OpenCL-based GPU engine.
- crates/metrics (optional)
- Prometheus metrics registry and optional HTTP exporter.
- Metrics are toggled by the presence of the `--metrics-port` CLI parameter
(when omitted, metrics are disabled entirely).
Notes:
- The public HTTP API remains compatible with the node.
- The old root library is intentionally left without exports to avoid conflicts.
- Build the binary via the new CLI package:
cargo build -p miner-cli --release
- Run the service:
cargo run -p miner-cli -- --port 9833 [--metrics-port 9900] [--workers N]
*/
-33
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@@ -1,33 +0,0 @@
/*!
Deprecated root binary entrypoint.
This repository has been restructured into a Cargo workspace.
Run the external miner using the new CLI binary:
- cargo run -p miner-cli -- [args...]
- cargo build -p miner-cli --release
Examples:
- cargo run -p miner-cli -- --port 9833
- cargo run -p miner-cli -- --port 9833 --metrics-port 9900
- cargo run -p miner-cli -- --workers 4
See crates/miner-cli for the active entrypoint and crates/miner-service for the service layer.
*/
fn main() {
eprintln!(
"\n[DEPRECATED] This entrypoint has moved.\n\
Use the new CLI binary in the workspace instead:\n\
\n\
- cargo run -p miner-cli -- [args...]\n\
- cargo build -p miner-cli --release\n\
\n\
Examples:\n\
- cargo run -p miner-cli -- --port 9833\n\
- cargo run -p miner-cli -- --port 9833 --metrics-port 9900\n\
- cargo run -p miner-cli -- --workers 4\n"
);
std::process::exit(1);
}
-207
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@@ -1,207 +0,0 @@
use primitive_types::U512;
use quantus_miner::*;
use resonance_miner_api::*;
use warp::test::request;
use warp::Filter; // Import shared API types
#[tokio::test]
async fn test_mine_endpoint() {
let state = MiningState::new();
let state_clone = state.clone();
let state_filter = warp::any().map(move || state_clone.clone());
let mine_route = warp::post()
.and(warp::path("mine"))
.and(warp::body::json())
.and(state_filter.clone())
.and_then(handle_mine_request);
// Test valid request
let valid_request = MiningRequest {
job_id: "test".to_string(),
mining_hash: "a".repeat(64),
distance_threshold: "1000".to_string(),
nonce_start: "0".repeat(128),
nonce_end: "1".repeat(128),
};
let resp = request()
.method("POST")
.path("/mine")
.json(&valid_request)
.reply(&mine_route)
.await;
assert_eq!(resp.status(), 200);
let body: MiningResponse = serde_json::from_slice(resp.body()).unwrap();
assert_eq!(body.status, ApiResponseStatus::Accepted);
assert_eq!(body.job_id, "test");
// Test duplicate job ID
let resp = request()
.method("POST")
.path("/mine")
.json(&valid_request)
.reply(&mine_route)
.await;
assert_eq!(resp.status(), 409);
let body: MiningResponse = serde_json::from_slice(resp.body()).unwrap();
assert_eq!(body.status, ApiResponseStatus::Error);
assert!(body.message.is_some());
assert!(body.message.unwrap().contains("Job already exists"));
// Test invalid request
let invalid_request = MiningRequest {
job_id: "".to_string(), // Empty job ID
mining_hash: "a".repeat(64),
distance_threshold: "1000".to_string(),
nonce_start: "0".repeat(128),
nonce_end: "1".repeat(128),
};
let resp = request()
.method("POST")
.path("/mine")
.json(&invalid_request)
.reply(&mine_route)
.await;
assert_eq!(resp.status(), 400);
}
#[tokio::test]
async fn test_result_endpoint() {
let state = MiningState::new();
let state_clone = state.clone();
let state_filter = warp::any().map(move || state_clone.clone());
// First create a job
let job = MiningJob::new([0; 32], U512::from(1000), U512::from(0), U512::from(1000));
state.add_job("test".to_string(), job).await.unwrap();
let result_route = warp::get()
.and(warp::path("result"))
.and(warp::path::param())
.and(state_filter.clone())
.and_then(handle_result_request);
// Test existing job
let resp = request()
.method("GET")
.path("/result/test")
.reply(&result_route)
.await;
assert_eq!(resp.status(), 200);
let body: MiningResult = serde_json::from_slice(resp.body()).unwrap();
assert_eq!(body.status, ApiResponseStatus::Running);
assert_eq!(body.job_id, "test");
// Test non-existent job
let resp = request()
.method("GET")
.path("/result/nonexistent")
.reply(&result_route)
.await;
assert_eq!(resp.status(), 404);
let body: MiningResult = serde_json::from_slice(resp.body()).unwrap();
assert_eq!(body.status, ApiResponseStatus::NotFound);
}
#[tokio::test]
async fn test_cancel_endpoint() {
let state = MiningState::new();
let state_clone = state.clone();
let state_filter = warp::any().map(move || state_clone.clone());
// First create a job
let job = MiningJob::new([0; 32], U512::from(1000), U512::from(0), U512::from(1000));
state.add_job("test".to_string(), job).await.unwrap();
let cancel_route = warp::post()
.and(warp::path("cancel"))
.and(warp::path::param())
.and(state_filter.clone())
.and_then(handle_cancel_request);
// Test cancel existing job
let resp = request()
.method("POST")
.path("/cancel/test")
.reply(&cancel_route)
.await;
assert_eq!(resp.status(), 200);
let body: MiningResponse = serde_json::from_slice(resp.body()).unwrap();
assert_eq!(body.status, ApiResponseStatus::Cancelled);
assert_eq!(body.job_id, "test");
// Test cancel non-existent job
let resp = request()
.method("POST")
.path("/cancel/nonexistent")
.reply(&cancel_route)
.await;
assert_eq!(resp.status(), 404);
let body: MiningResponse = serde_json::from_slice(resp.body()).unwrap();
assert_eq!(body.status, ApiResponseStatus::NotFound);
}
#[tokio::test]
async fn test_concurrent_access() {
let state = MiningState::new();
let state_clone = state.clone();
let state_filter = warp::any().map(move || state_clone.clone());
// Create multiple jobs concurrently
let mut handles = vec![];
for i in 0..10 {
let state = state.clone();
let handle = tokio::spawn(async move {
let job = MiningJob::new([0; 32], U512::from(1000), U512::from(0), U512::from(1000));
state.add_job(format!("test{}", i), job).await
});
handles.push(handle);
}
// Wait for all jobs to be created
for handle in handles {
assert!(handle.await.unwrap().is_ok());
}
// Verify all jobs exist
for i in 0..10 {
assert!(state.get_job(&format!("test{}", i)).await.is_some());
}
// Test concurrent result checks
let result_route = warp::get()
.and(warp::path("result"))
.and(warp::path::param())
.and(state_filter.clone())
.and_then(handle_result_request);
let mut result_handles = vec![];
for i in 0..10 {
let route = result_route.clone();
let handle = tokio::spawn(async move {
request()
.method("GET")
.path(&format!("/result/test{}", i))
.reply(&route)
.await
});
result_handles.push(handle);
}
// Verify all result checks succeed
for handle in result_handles {
let resp = handle.await.unwrap();
assert_eq!(resp.status(), 200);
let body: MiningResult = serde_json::from_slice(resp.body()).unwrap();
assert_eq!(body.status, ApiResponseStatus::Running);
}
}
-310
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@@ -1,310 +0,0 @@
// Verifying that our API spec is in sync with the implementation
// Manually generated from the OpenAPI spec but it should still flag when we get out of sync and need to update.
use primitive_types::U512;
use quantus_miner::*;
use resonance_miner_api::*; // Use the shared API types
use serde_json::json;
use warp::test::request;
use warp::Filter; // For sending custom/invalid JSON
// Helper function to setup the routes with a fresh state for each test
fn setup_routes() -> (
MiningState,
impl Filter<Extract = impl warp::Reply, Error = warp::Rejection> + Clone,
) {
let state = MiningState::new();
let state_clone = state.clone();
let state_filter = warp::any().map(move || state_clone.clone());
let mine_route = warp::post()
.and(warp::path("mine"))
.and(warp::body::json::<MiningRequest>()) // Expect valid MiningRequest
.and(state_filter.clone())
.and_then(handle_mine_request);
let result_route = warp::get()
.and(warp::path("result"))
.and(warp::path::param::<String>())
.and(state_filter.clone())
.and_then(handle_result_request);
let cancel_route = warp::post()
.and(warp::path("cancel"))
.and(warp::path::param::<String>())
.and(state_filter.clone())
.and_then(handle_cancel_request);
let routes = mine_route.or(result_route).or(cancel_route);
(state, routes)
}
// --- /mine Endpoint Tests ---
#[tokio::test]
async fn spec_mine_valid_request() {
let (_state, routes) = setup_routes();
let valid_req = MiningRequest {
job_id: "job-valid-1".to_string(),
mining_hash: "a".repeat(64),
distance_threshold: "12345".to_string(),
nonce_start: "0".repeat(128),
nonce_end: "f".repeat(128),
};
let resp = request()
.method("POST")
.path("/mine")
.json(&valid_req)
.reply(&routes)
.await;
// Spec: 200 OK, response matches MiningResponseAccepted
assert_eq!(
resp.status(),
200,
"Spec requires 200 OK for valid /mine request"
);
let body: MiningResponse = serde_json::from_slice(resp.body())
.expect("Valid response should deserialize to MiningResponse");
assert_eq!(
body.status,
ApiResponseStatus::Accepted,
"Spec requires status 'accepted'"
);
assert_eq!(body.job_id, valid_req.job_id);
assert!(
body.message.is_none(),
"Spec shows no message field for success"
);
}
#[tokio::test]
async fn spec_mine_duplicate_job_id() {
let (state, routes) = setup_routes();
let valid_req = MiningRequest {
job_id: "job-duplicate-1".to_string(),
mining_hash: "b".repeat(64),
distance_threshold: "54321".to_string(),
nonce_start: "1".repeat(128),
nonce_end: "e".repeat(128),
};
// Add the job first
let job = MiningJob::new(
hex::decode(valid_req.mining_hash.clone())
.unwrap()
.try_into()
.unwrap(),
U512::from_dec_str(&valid_req.distance_threshold).unwrap(),
U512::from_str_radix(&valid_req.nonce_start, 16).unwrap(),
U512::from_str_radix(&valid_req.nonce_end, 16).unwrap(),
);
state.add_job(valid_req.job_id.clone(), job).await.unwrap();
// Try to submit again
let resp = request()
.method("POST")
.path("/mine")
.json(&valid_req)
.reply(&routes)
.await;
// Spec: 409 Conflict, response matches MiningResponseError
assert_eq!(
resp.status(),
409,
"Spec requires 409 Conflict for duplicate job ID"
);
let body: MiningResponse = serde_json::from_slice(resp.body())
.expect("Valid error response should deserialize to MiningResponse");
assert_eq!(
body.status,
ApiResponseStatus::Error,
"Spec requires status 'error'"
);
assert!(
body.message.is_some(),
"Spec requires message field for error"
);
assert!(body.message.unwrap().contains("Job already exists"));
assert_eq!(body.job_id, valid_req.job_id);
}
// Test cases for invalid formats (hash length, nonce length, difficulty non-numeric)
// These should ideally result in 400 Bad Request
#[tokio::test]
async fn spec_mine_invalid_hash_format() {
let (_state, routes) = setup_routes();
let invalid_req = json!({
"job_id": "job-invalid-hash",
"mining_hash": "a".repeat(63), // Too short
"distance_threshold": "1000",
"nonce_start": "0".repeat(128),
"nonce_end": "f".repeat(128)
});
let resp = request()
.method("POST")
.path("/mine")
.json(&invalid_req)
.reply(&routes)
.await;
// Spec: 400 Bad Request, response matches MiningResponseError
assert_eq!(
resp.status(),
400,
"Spec requires 400 Bad Request for invalid hash format"
);
let body: MiningResponse =
serde_json::from_slice(resp.body()).expect("Error response should deserialize");
assert_eq!(body.status, ApiResponseStatus::Error);
assert!(body.message.is_some());
assert!(body
.message
.unwrap()
.contains("mining_hash must be 64 hex characters"));
}
// Add similar tests for invalid nonce_start, nonce_end, difficulty format...
#[tokio::test]
async fn spec_mine_missing_required_field() {
let (_state, routes) = setup_routes();
// Missing 'difficulty'
let invalid_req = json!({
"job_id": "job-missing-field",
"mining_hash": "c".repeat(64),
"nonce_start": "0".repeat(128),
"nonce_end": "f".repeat(128)
});
let resp = request()
.method("POST")
.path("/mine")
.json(&invalid_req)
.reply(&routes)
.await;
// Warp's default JSON body deserialization handles missing fields
// It should return 400 Bad Request based on warp::body::json()
assert_eq!(
resp.status(),
400,
"Spec requires 400 Bad Request for missing required field"
);
// The body might be a plain text error from Warp, not necessarily our JSON structure
// We can check if the body indicates a deserialization error
let body_bytes = resp.body();
let body_string = String::from_utf8_lossy(body_bytes);
assert!(
body_string.contains("Failed to deserialize") || body_string.contains("missing field"),
"Response body should indicate deserialization failure"
);
}
// --- /result/{job_id} Endpoint Tests ---
#[tokio::test]
async fn spec_result_job_running() {
let (state, routes) = setup_routes();
let job_id = "job-running-1".to_string();
// Add a job
let job = MiningJob::new([1u8; 32], U512::from(1000), U512::from(0), U512::from(1000));
state.add_job(job_id.clone(), job).await.unwrap();
let resp = request()
.method("GET")
.path(&format!("/result/{}", job_id))
.reply(&routes)
.await;
// Spec: 200 OK, response matches MiningResult with status 'running'
assert_eq!(resp.status(), 200);
let body: MiningResult =
serde_json::from_slice(resp.body()).expect("Should deserialize to MiningResult");
assert_eq!(body.status, ApiResponseStatus::Running);
assert_eq!(body.job_id, job_id);
assert!(body.nonce.is_none()); // Should be none initially
assert!(body.work.is_none()); // No work yet
// hash_count and elapsed_time should be present
// assert_eq!(body.hash_count, 0); // Initial state
// assert!(body.elapsed_time >= 0.0);
}
// Add tests for spec_result_job_completed, spec_result_job_failed (need to manipulate state)
// Need to carefully simulate a completed/failed state or run miner loop briefly
#[tokio::test]
async fn spec_result_job_not_found() {
let (_state, routes) = setup_routes();
let job_id = "job-not-found-1";
let resp = request()
.method("GET")
.path(&format!("/result/{}", job_id))
.reply(&routes)
.await;
// Spec: 404 Not Found, response matches MiningResultNotFound
assert_eq!(resp.status(), 404);
let body: MiningResult = serde_json::from_slice(resp.body())
.expect("Should deserialize to MiningResult (NotFound variant)");
assert_eq!(body.status, ApiResponseStatus::NotFound);
assert_eq!(body.job_id, job_id);
assert!(body.nonce.is_none());
assert!(body.work.is_none());
assert_eq!(body.hash_count, 0);
assert_eq!(body.elapsed_time, 0.0);
}
// --- /cancel/{job_id} Endpoint Tests ---
#[tokio::test]
async fn spec_cancel_existing_job() {
let (state, routes) = setup_routes();
let job_id = "job-cancel-1".to_string();
let job = MiningJob::new([2u8; 32], U512::from(1000), U512::from(0), U512::from(1000));
state.add_job(job_id.clone(), job).await.unwrap();
let resp = request()
.method("POST")
.path(&format!("/cancel/{}", job_id))
.reply(&routes)
.await;
// Spec: 200 OK, response matches MiningResponseCancelled
assert_eq!(resp.status(), 200);
let body: MiningResponse =
serde_json::from_slice(resp.body()).expect("Should deserialize to MiningResponse");
assert_eq!(body.status, ApiResponseStatus::Cancelled);
assert_eq!(body.job_id, job_id);
assert!(body.message.is_none());
// Verify job is actually cancelled
let job = state.get_job(&job_id).await.unwrap();
assert_eq!(job.status, JobStatus::Cancelled);
}
#[tokio::test]
async fn spec_cancel_non_existent_job() {
let (_state, routes) = setup_routes();
let job_id = "job-cancel-not-found-1";
let resp = request()
.method("POST")
.path(&format!("/cancel/{}", job_id))
.reply(&routes)
.await;
// Spec: 404 Not Found, response matches MiningResponseNotFound
assert_eq!(resp.status(), 404);
let body: MiningResponse = serde_json::from_slice(resp.body())
.expect("Should deserialize to MiningResponse (NotFound variant)");
assert_eq!(body.status, ApiResponseStatus::NotFound);
assert_eq!(body.job_id, job_id);
assert!(body.message.is_some());
}
// Removed placeholder test