9ca33cf4d5
Sources (all CUDA 10.2 compatible, no CUTLASS/Triton dependency): - leimao/CUDA-GEMM-Optimization: v00-v07, fp16 WMMA variant, double buffered - siboehm/SGEMM_CUDA: kernel 1-12, warp tiling + double buffering - wangzyon/NVIDIA_SGEMM_PRACTICE: kernel 1-7 - edtallison/sgemm-cuda: kernel 1-12 (reimplementation with notes) Key porting issue: ALL kernels hardcode WARPSIZE=32. BI-V100 has warp_size=64. Need to: 1. Replace all 32U / WARPSIZE constants with 64 2. Adjust warp subtile decomposition (WMITER, WNITER, WSUBM, WSUBN) 3. Adjust shared memory bank conflict avoidance (may have different bank count) 4. Test __shfl_down_sync with mask=0xFFFFFFFFFFFFFFFF (64-bit)
98 lines
4.7 KiB
C++
98 lines
4.7 KiB
C++
#ifndef CUDA_GEMM_HPP
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#define CUDA_GEMM_HPP
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#include <cuda_runtime.h>
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template <typename T>
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void launch_gemm_kernel_v00(size_t m, size_t n, size_t k, T const* alpha,
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T const* A, size_t lda, T const* B, size_t ldb,
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T const* beta, T* C, size_t ldc,
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cudaStream_t stream);
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template <typename T>
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void launch_gemm_kernel_v01(size_t m, size_t n, size_t k, T const* alpha,
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T const* A, size_t lda, T const* B, size_t ldb,
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T const* beta, T* C, size_t ldc,
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cudaStream_t stream);
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template <typename T>
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void launch_gemm_kernel_v02(size_t m, size_t n, size_t k, T const* alpha,
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T const* A, size_t lda, T const* B, size_t ldb,
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T const* beta, T* C, size_t ldc,
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cudaStream_t stream);
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template <typename T>
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void launch_gemm_kernel_v02_vectorized(size_t m, size_t n, size_t k,
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T const* alpha, T const* A, size_t lda,
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T const* B, size_t ldb, T const* beta,
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T* C, size_t ldc, cudaStream_t stream);
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template <typename T>
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void launch_gemm_kernel_v03(size_t m, size_t n, size_t k, T const* alpha,
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T const* A, size_t lda, T const* B, size_t ldb,
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T const* beta, T* C, size_t ldc,
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cudaStream_t stream);
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template <typename T>
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void launch_gemm_kernel_v03_vectorized(size_t m, size_t n, size_t k,
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T const* alpha, T const* A, size_t lda,
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T const* B, size_t ldb, T const* beta,
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T* C, size_t ldc, cudaStream_t stream);
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template <typename T>
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void launch_gemm_kernel_v04(size_t m, size_t n, size_t k, T const* alpha,
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T const* A, size_t lda, T const* B, size_t ldb,
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T const* beta, T* C, size_t ldc,
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cudaStream_t stream);
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template <typename T>
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void launch_gemm_kernel_v04_vectorized(size_t m, size_t n, size_t k,
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T const* alpha, T const* A, size_t lda,
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T const* B, size_t ldb, T const* beta,
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T* C, size_t ldc, cudaStream_t stream);
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template <typename T>
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void launch_gemm_kernel_v05(size_t m, size_t n, size_t k, T const* alpha,
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T const* A, size_t lda, T const* B, size_t ldb,
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T const* beta, T* C, size_t ldc,
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cudaStream_t stream);
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template <typename T>
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void launch_gemm_kernel_v05_vectorized(size_t m, size_t n, size_t k,
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T const* alpha, T const* A, size_t lda,
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T const* B, size_t ldb, T const* beta,
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T* C, size_t ldc, cudaStream_t stream);
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template <typename T>
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void launch_gemm_kernel_v06(size_t m, size_t n, size_t k, T const* alpha,
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T const* A, size_t lda, T const* B, size_t ldb,
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T const* beta, T* C, size_t ldc,
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cudaStream_t stream);
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template <typename T>
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void launch_gemm_kernel_v06_vectorized(size_t m, size_t n, size_t k,
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T const* alpha, T const* A, size_t lda,
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T const* B, size_t ldb, T const* beta,
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T* C, size_t ldc, cudaStream_t stream);
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template <typename T>
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void launch_gemm_kernel_v06_vectorized_double_buffered(
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size_t m, size_t n, size_t k, T const* alpha, T const* A, size_t lda,
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T const* B, size_t ldb, T const* beta, T* C, size_t ldc,
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cudaStream_t stream);
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template <typename T>
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void launch_gemm_kernel_v07(size_t m, size_t n, size_t k, T const* alpha,
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T const* A, size_t lda, T const* B, size_t ldb,
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T const* beta, T* C, size_t ldc,
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cudaStream_t stream);
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template <typename T>
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void launch_gemm_kernel_v07_vectorized(size_t m, size_t n, size_t k,
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T const* alpha, T const* A, size_t lda,
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T const* B, size_t ldb, T const* beta,
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T* C, size_t ldc, cudaStream_t stream);
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template <typename T>
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void launch_gemm_kernel_v07_vectorized_double_buffered(
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size_t m, size_t n, size_t k, T const* alpha, T const* A, size_t lda,
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T const* B, size_t ldb, T const* beta, T* C, size_t ldc,
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cudaStream_t stream);
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#endif |