7cfa87b5ac
siboehm/SGEMM_CUDA (19 files):
siboehm_sgemm.cu, siboehm_runner.cu, siboehm_runner.cuh, siboehm_kernels.cuh
siboehm_cuBLAS_sgemm.cu, siboehm_simplest_kernel.cu, siboehm_CMakeLists.txt
siboehm_{1_naive..12_kernel_double_buffering}.cuh
wangzyon/NVIDIA_SGEMM_PRACTICE (12 files):
wangzyon_sgemm.cu, wangzyon_utils.cu, wangzyon_utils.cuh, wangzyon_kernel.cuh
wangzyon_CMakeLists.txt, wangzyon_kernel_{1..7}.cuh
edtallison/sgemm-cuda (19 files):
edtallison_sgemm.cu, edtallison_runner.cu, edtallison_runner.cuh
edtallison_kernels.cuh, edtallison_cuBLAS_sgemm.cu, edtallison_simplest_kernel.cu
edtallison_CMakeLists.txt, edtallison_{01_naive..12_kernel_double_buffering}.cuh
cat_files/ total: 25 → 75 files
19 lines
580 B
Plaintext
19 lines
580 B
Plaintext
#pragma once
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#include <cuda_runtime.h>
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#include <cublas_v2.h>
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#include <stdio.h>
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#include <stdlib.h>
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__global__ __launch_bounds__(1024) void
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mysgemm_v1(int M, int N, int K, float alpha, float *A, float *B, float beta, float *C) {
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int gx = blockIdx.x * blockDim.x + threadIdx.x; // 全局x
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int gy = blockIdx.y * blockDim.y + threadIdx.y; // 全局y
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float tmp = 0.;
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for (int i = 0; i < K; i++) {
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tmp += A[gy * K + i] * B[i * N + gx]; // 两次全局内存访问和一次FMA（累加乘）
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}
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C[gy * N + gx] = alpha * tmp + beta * C[gy * N + gx];
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} |