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[Perf]Use Cooperative Schedule for H100 & H200 & H800 in fp8_blockwise_scaled_grouped_mm (#8722)

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This commit is contained in:
Qi Yuhang
2025-08-03 12:13:47 +08:00
committed by GitHub
parent e273aa6dcf
commit d9def43dcd
1 changed files with 3 additions and 2 deletions
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sgl-kernel/csrc/moe/fp8_blockwise_moe_kernel.cu
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@@ -485,7 +485,8 @@ void sm90_fp8_blockwise_group_mm_dispatch_shape(
torch::TensorOptions options_int = torch::TensorOptions().dtype(torch::kInt64).device(a.device());
torch::Tensor problem_sizes_transpose = torch::empty(num_experts * 3, options_int);
if (a.size(1) > 128) {
if (at::cuda::getCurrentDeviceProperties()->multiProcessorCount == 78 && a.size(1) > 128) {
// For H20 with K > 128, use Pingpong Schedule
run_get_group_gemm_starts<MmaConfig0::LayoutSFA, MmaConfig0::LayoutSFB, MmaConfig0::ScaleConfig>(
expert_offsets,
a_ptrs,
@@ -517,7 +518,7 @@ void sm90_fp8_blockwise_group_mm_dispatch_shape(
expert_offsets,
workspace);
} else {
// Small K
// For H20 with K <= 128, and H100 & H200 & H800, use Cooperative Schedule
run_get_group_gemm_starts<MmaConfig1::LayoutSFA, MmaConfig1::LayoutSFB, MmaConfig1::ScaleConfig>(
expert_offsets,
a_ptrs,