project_6

Author SHA1 Message Date

Author	SHA1	Message	Date
Claude	a2a5dd8f00	feat: asymmetric BLOCK_M/BLOCK_N search + re-add BI-V100 autotune configs bench_triton_prefill.py: - Split --block into --block (BLOCK_M) and --block-n (BLOCK_N) - Each (M, N, warps) combo triggers Triton JIT recompilation - Enables finding asymmetric optima like M=64,N=32 that save SMEM triton_flash_attention.py: - Re-add 3 BI-V100 autotune configs (64x32, 32x64, 64x64 with warps=4) - These were wrongly reverted in `8c1955d` -- autotune is zero-risk run_on_bi100.sh: - Updated to use asymmetric block search	2026-08-03 11:18:18 +00:00
dylanyunlon	fe64650681	add muh/run_on_bi100.sh — single-paste diagnostic + benchmark for Phanthy Cloud 8 steps in sequence, no user interaction needed: 1. Hardware diagnostics (SM count, SMEM, VRAM per GPU) 2. SMEM 32KB vs 48KB definitive answer from torch.cuda.get_device_properties 3. Triton availability check 4. prefix_prefill kernel import test 5. Triton compilation smoke test (compile+run trivial kernel) 6. Actual prefill kernel benchmark: 16 variants × 4 ctx_lens 7. Show current computility-run.yaml 8. fused_moe BLOCK_SIZE_M dispatch table for Qwen3.6 dimensions	2026-08-03 10:51:20 +00:00

Claude

a2a5dd8f00

feat: asymmetric BLOCK_M/BLOCK_N search + re-add BI-V100 autotune configs

bench_triton_prefill.py:
  - Split --block into --block (BLOCK_M) and --block-n (BLOCK_N)
  - Each (M, N, warps) combo triggers Triton JIT recompilation
  - Enables finding asymmetric optima like M=64,N=32 that save SMEM

triton_flash_attention.py:
  - Re-add 3 BI-V100 autotune configs (64x32, 32x64, 64x64 with warps=4)
  - These were wrongly reverted in 8c1955d -- autotune is zero-risk

run_on_bi100.sh:
  - Updated to use asymmetric block search

2026-08-03 11:18:18 +00:00

dylanyunlon

fe64650681

add muh/run_on_bi100.sh — single-paste diagnostic + benchmark for Phanthy Cloud

8 steps in sequence, no user interaction needed:
1. Hardware diagnostics (SM count, SMEM, VRAM per GPU)
2. SMEM 32KB vs 48KB definitive answer from torch.cuda.get_device_properties
3. Triton availability check
4. prefix_prefill kernel import test
5. Triton compilation smoke test (compile+run trivial kernel)
6. Actual prefill kernel benchmark: 16 variants × 4 ctx_lens
7. Show current computility-run.yaml
8. fused_moe BLOCK_SIZE_M dispatch table for Qwen3.6 dimensions

2026-08-03 10:51:20 +00:00

2 Commits