/* * BSD 2-Clause License * * Copyright (c) 2020, Alessandro Capotondi * All rights reserved. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions are met: * * * Redistributions of source code must retain the above copyright notice, this * list of conditions and the following disclaimer. * * * Redistributions in binary form must reproduce the above copyright notice, * this list of conditions and the following disclaimer in the documentation * and/or other materials provided with the distribution. * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL * DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR * SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, * OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. */ /** * @file gemm.cu * @author Alessandro Capotondi * @date 12 May 2020 * @brief GEMM Kernel * * @see https://dolly.fim.unimore.it/2019/course/view.php?id=152 */ #include #include #include #include #define gpuErrchk(ans) \ { \ gpuAssert((ans), __FILE__, __LINE__); \ } static inline void gpuAssert(cudaError_t code, const char *file, int line, bool abort = true) { if (code != cudaSuccess) { fprintf(stderr, "GPUassert: %s %s %d\n", cudaGetErrorString(code), file, line); if (abort) exit(code); } } extern "C" { #include "utils.h" } #define TWO02 (1 << 2) #define TWO04 (1 << 4) #define TWO08 (1 << 8) #ifndef N #define N (1 << 10) #endif #ifndef TILE_W #define TILE_W 128 #endif #ifndef BLOCK_SIZE #define BLOCK_SIZE 32 #endif #define SM 64 static void reorder(float *__restrict__ a, float *__restrict__ b, int n) { for (int i = 0; i < SM; i++) for (int j = 0; j < SM; j++) b[i * SM + j] = a[i * n + j]; } static void mm(float *__restrict__ a, float *__restrict__ b, float *__restrict__ c, int n) { for (int i = 0; i < SM; i++) { for (int k = 0; k < SM; k++) { for (int j = 0; j < SM; j++) { c[i * n + j] += a[i * n + k] * b[k * SM + j]; } } } } void gemm_host(float *a, float *b, float *c, int n) { int bk = n / SM; #pragma omp parallel for collapse(3) for (int i = 0; i < bk; i++) { for (int j = 0; j < bk; j++) { for (int k = 0; k < bk; k++) { float b2[SM * SM]; reorder(&b[SM * (k * n + j)], b2, n); mm(&a[SM * (i * n + k)], b2, &c[SM * (i * n + j)], n); } } } } __global__ void gemm(float *__restrict__ a, float *__restrict__ b, float *__restrict__ c, int n) { __shared__ float As[BLOCK_SIZE][BLOCK_SIZE]; __shared__ float Bs[BLOCK_SIZE][BLOCK_SIZE]; int ib = blockIdx.y; int jb = blockIdx.x; int it = threadIdx.y; int jt = threadIdx.x; int a_offset, b_offset, c_offset; float Cvalue = 0.0f; for (int kb = 0; kb < (n / BLOCK_SIZE); ++kb) { a_offset = ib * n * BLOCK_SIZE + kb * BLOCK_SIZE; b_offset = kb * n * BLOCK_SIZE + jb * BLOCK_SIZE; As[it][jt] = a[a_offset + it * n + jt]; Bs[it][jt] = b[b_offset + it * n + jt]; __syncthreads(); for (int k = 0; k < BLOCK_SIZE; ++k) Cvalue += As[it][k] * Bs[k][jt]; __syncthreads(); } c_offset = ib * n * BLOCK_SIZE + jb * BLOCK_SIZE; c[c_offset + it * n + jt] = Cvalue; } int main(int argc, char *argv[]) { int n = N, iret = 0; float *a, *b, *c, *g; struct timespec rt[2]; double wt; // walltime if (argc > 1) n = atoi(argv[1]); //TODO Update malloc to cudaMallocHost or cudaMallocManaged (if necessary) if (NULL == (a = (float *)malloc(sizeof(*a) * n * n))) { printf("error: memory allocation for 'x'\n"); iret = -1; } //TODO Update malloc to cudaMallocHost or cudaMallocManaged (if necessary) if (NULL == (b = (float *)malloc(sizeof(*b) * n * n))) { printf("error: memory allocation for 'y'\n"); iret = -1; } //TODO Update malloc to cudaMallocHost or cudaMallocManaged (if necessary) if (NULL == (c = (float *)malloc(sizeof(*c) * n * n))) { printf("error: memory allocation for 'z'\n"); iret = -1; } if (NULL == (g = (float *)malloc(sizeof(*g) * n * n))) { printf("error: memory allocation for 'z'\n"); iret = -1; } if (0 != iret) { //TODO Update cudaFreeHost or cudaFree (if necessary) free(a); //TODO Update cudaFreeHost or cudaFree (if necessary) free(b); //TODO Update cudaFreeHost or cudaFree (if necessary) free(c); free(g); exit(EXIT_FAILURE); } //Init Data int _b = rand() % TWO04; int _c = rand() % TWO08; #pragma omp parallel for for (int i = 0; i < n * n; i++) { a[i] = _b / (float)TWO02; b[i] = _c / (float)TWO04; c[i] = g[i] = 0.0; } clock_gettime(CLOCK_REALTIME, rt + 0); gemm_host(a, b, g, n); clock_gettime(CLOCK_REALTIME, rt + 1); wt = (rt[1].tv_sec - rt[0].tv_sec) + 1.0e-9 * (rt[1].tv_nsec - rt[0].tv_nsec); printf("GEMM (Host) : %9.3f sec %9.1f GFLOPS\n", wt, 2.0 * n * n * n / (1.0e9 * wt)); //TODO Remove if unecessary float *d_a, *d_b, *d_c; gpuErrchk(cudaMalloc((void **)&d_a, sizeof(float) * n * n)); gpuErrchk(cudaMalloc((void **)&d_b, sizeof(float) * n * n)); gpuErrchk(cudaMalloc((void **)&d_c, sizeof(float) * n * n)); clock_gettime(CLOCK_REALTIME, rt + 0); //TODO Remove if unecessary gpuErrchk(cudaMemcpy(d_a, a, sizeof(float) * n * n, cudaMemcpyHostToDevice)); gpuErrchk(cudaMemcpy(d_b, b, sizeof(float) * n * n, cudaMemcpyHostToDevice)); dim3 dimBlock(BLOCK_SIZE, BLOCK_SIZE); dim3 dimGrid((n + (BLOCK_SIZE)-1) / (BLOCK_SIZE), (n + (BLOCK_SIZE)-1) / (BLOCK_SIZE)); gemm<<>>(d_a, d_b, d_c, n); gpuErrchk(cudaPeekAtLastError()); //TODO Remove if unecessary gpuErrchk(cudaMemcpy(c, d_c, sizeof(float) * n * n, cudaMemcpyDeviceToHost)); clock_gettime(CLOCK_REALTIME, rt + 1); wt = (rt[1].tv_sec - rt[0].tv_sec) + 1.0e-9 * (rt[1].tv_nsec - rt[0].tv_nsec); printf("GEMM-v1 (GPU): %9.3f sec %9.1f GFLOPS\n", wt, 2.0 * n * n * n / (1.0e9 * wt)); for (int i = 0; i < n * n; i++) { iret = *(int *)(g + i) ^ *(int *)(c + i); assert(iret == 0); } //TODO Update cudaFreeHost or cudaFree (if necessary) free(a); //TODO Update cudaFreeHost or cudaFree (if necessary) free(b); //TODO Update cudaFreeHost or cudaFree (if necessary) free(c); free(g); //TODO Remove if unecessary gpuErrchk(cudaFree(d_a)); //TODO Remove if unecessary gpuErrchk(cudaFree(d_b)); //TODO Remove if unecessary gpuErrchk(cudaFree(d_c)); return 0; }