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Refactor CUDA engine bounds calculation for clarity

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This commit is contained in:
rob thijssen
2025-09-14 10:38:53 +03:00
parent 8288d21423
commit e57e91bec9
1 changed files with 5 additions and 13 deletions
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crates/engine-gpu-cuda/src/lib.rs
+5 -13
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@@ -346,7 +346,6 @@ impl CudaEngine {
let max_cover = (num_threads as u64) * effective_iters;
if covered_u64 > max_cover {
covered_u64 = max_cover;
let _initial_covered = covered_u64;
}
}
@@ -373,18 +372,11 @@ impl CudaEngine {
// Branch kernel launch by mode: G2 (device SHA3 + early-exit) vs G1 (return y values)
if is_g2 {
// Compute full-precision bounds for accounting
let rem_be = end.saturating_sub(current).to_big_endian();
let over_u64 = rem_be[..56].iter().any(|&b| b != 0);
let total_elems_u64 = (num_threads as u64) * (iters_per_thread as u64);
let covered: u64 = if over_u64 {
total_elems_u64
} else {
let mut last8 = [0u8; 8];
last8.copy_from_slice(&rem_be[56..64]);
let rem_low = u64::from_be_bytes(last8);
std::cmp::min(total_elems_u64, rem_low)
};
// Compute full-precision bounds for accounting (use precomputed)
let rem_be = rem_be_all;
let over_u64 = over_u64_all;
let total_elems_u64 = total_elems_u64_cfg;
let covered: u64 = covered_u64;
// Prepare target/threshold (64-byte big-endian) for device
let target_be = ctx.target.to_big_endian();