| 文件 | 最后提交记录 | 最后更新时间 |
|---|---|---|
v4.5 tag update (#3202) * Python DSL examples reorganization. * v4.5 tag update. | 5 个月前 | |
v4.4 tag release update. (#3032) | 7 个月前 | |
v4.8 update (#3645) * v4.8 update * Update windows doc change | 19 天前 | |
v4.7 update. (#3432) | 2 个月前 | |
v4.7 update. (#3432) | 2 个月前 | |
v4.5.1 update. (#3237) | 4 个月前 | |
v4.3.3 update. (#2868) | 9 个月前 | |
v4.8 update (#3645) * v4.8 update * Update windows doc change | 19 天前 | |
Release v4.0.0 (#2294) | 1 年前 | |
v4.6 dev update. (#3315) * v4.6 dev update. * Remove CUTLASS_HOST_DEVICE from CudaHostAdapater::memsetDevice (#3286) * [SM120] Add ptr-array TMA collective for tensor/token-scaled FP8 grouped GEMM (#3280) * gemm: add SM120 array TMA collective for tensor/token-scaled FP8 grouped GEMM Adds CollectiveMma and CollectiveBuilder specializations for MainloopSm120ArrayTmaWarpSpecialized, enabling ptr-array grouped GEMM (MoE expert dispatch) with tensor- and token-level FP8 scaling on SM_120/SM_121 consumer Blackwell (RTX 5090/5080/5070, DGX Spark GB10). New files: - include/cutlass/gemm/collective/sm120_mma_array_tma.hpp CollectiveMma specialization for MainloopSm120ArrayTmaWarpSpecialized. Handles both Cooperative (4x2 atom layout) and Pingpong (2x2) schedules. Grouped GEMM via pointer-array indirection through params.ptr_A / ptr_B. Supports F8F6F4 MMA with TMA loads for both A and B operands. - include/cutlass/gemm/collective/builders/sm120_array_mma_builder.inl CollectiveBuilder specialization for KernelPtrArrayTmaWarpSpecialized Cooperative/PingpongSm120<N> schedule tags. Computes tile/stage counts from smem capacity, routes to MainloopSm120ArrayTmaWarpSpecialized dispatch policy, produces correctly-typed CollectiveOp. Modified files: - collective_mma.hpp: include sm120_mma_array_tma.hpp - collective_builder.hpp: include sm120_array_mma_builder.inl - sm120_mma_builder.inl: remove ptr-array schedules from enable_if (they now route to sm120_array_mma_builder.inl) and drop the IsPtrArrayKernel static_assert that enforced the restriction Validated on real SM_121 hardware (DGX Spark, 128 GB LPDDR5X) running vLLM with RedHatAI/gemma-4-26B-A4B-it-FP8-Dynamic (Gemma 4 MoE, 26B total / 4B active). Previously fell back to a non-CUTLASS Triton path; with this patch, the SM120 CUTLASS grouped GEMM collective activates and produces correct outputs. Short-sequence throughput improved ~7% vs the fallback baseline (76.3 → 81.9 tok/s). Closes #3263 Co-authored-by: Claude <noreply@anthropic.com> Signed-off-by: Tyler Merritt <tgmerritt@gmail.com> * test: add SM120 ptr-array grouped GEMM unit tests Adds 6 device-level tests for the CollectiveMma/CollectiveBuilder specializations introduced for MainloopSm120ArrayTmaWarpSpecialized, covering both KernelPtrArrayTmaWarpSpecializedPingpongSm120<2> and KernelPtrArrayTmaWarpSpecializedCooperativeSm120<2> schedule tags across e4m3×e4m3 (symmetric), e4m3×e5m2 (mixed), float and bfloat16 outputs, and two tile shapes. Tests land in test/unit/gemm/device/sm120_tensorop_gemm/ under the new cutlass_test_unit_sm120_grouped_gemm_device_tensorop CMake target, per reviewer request in PR #3280. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> --------- Signed-off-by: Tyler Merritt <tgmerritt@gmail.com> Co-authored-by: Claude <noreply@anthropic.com> --------- Signed-off-by: Tyler Merritt <tgmerritt@gmail.com> Co-authored-by: Alex Georgiev <89279829+alexngUNC@users.noreply.github.com> Co-authored-by: Tyler <tgmerritt@gmail.com> Co-authored-by: Claude <noreply@anthropic.com> | 3 个月前 | |
v4.7 update. (#3432) | 2 个月前 | |
v4.5 tag update (#3202) * Python DSL examples reorganization. * v4.5 tag update. | 5 个月前 |
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