dylanyunlon 094c710efa feat(muh): add bench_bi100.py — CCCL BruteForceSeeker for BI-V100
Translates NVIDIA CCCL benchmark infrastructure to Iluvatar hardware:
- Extracts ALL %RANGE% parameter spaces from 95 CUB benchmark .cu files
- SMEM constraint pruning: eliminates 25-63% of invalid combos
- 6 hot-path algorithms with validated space sizes:
  reduce=1044 scan=5.4M(pruned) topk=1698 transform=25920 for=566
- CCCL-compatible output format
- --prune-only works without GPU
- --update-schema writes best results back to muh/schema/*.yaml
- --smem-limit flag for 32KB vs 48KB investigation
2026-08-03 10:24:37 +00:00
2026-07-30 17:03:23 +08:00

project_6

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