173c6afe09
muh_kernel_map.py maps every vllm kernel to its CCCL algorithm(s):
paged_attention_v1 → reduce (compound: summary_statistics pattern)
paged_attention_v2 → reduce + scan (two-pass partitioned)
sampling_topk → topk + radix_sort
activation_kernels → transform (SiLU/GELU)
layernorm_kernels → reduce + transform (variance + normalize)
rotary_embedding → for_each + transform (RoPE)
cache_kernels → batch_memcpy (KV block copy)
Found 5 lookahead SMEM overflows — documented in SPECIALIZATION_ANALYSIS.md.
These are non-functional (BI-V100 lacks warpspeed pipeline) but the
dispatch correctly falls back to lookback.
The competitive moat:
Others: tune 5 vllm launch params → hours
Us: tune 7 CUB primitive dimensions per algorithm × 6 algorithms,
constrained by SMEM/occupancy/L2, with CCCL benchmark protocol