/* StarPU --- Runtime system for heterogeneous multicore architectures. * * Copyright (C) 2009-2020 Université de Bordeaux, CNRS (LaBRI UMR 5800), Inria * Copyright (C) 2010 Mehdi Juhoor * Copyright (C) 2017 Erwan Leria * * StarPU is free software; you can redistribute it and/or modify * it under the terms of the GNU Lesser General Public License as published by * the Free Software Foundation; either version 2.1 of the License, or (at * your option) any later version. * * StarPU is distributed in the hope that it will be useful, but * WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. * * See the GNU Lesser General Public License in COPYING.LGPL for more details. */ /* * Simple parallel GEMM implementation: partition the output matrix in the two * dimensions, and the input matrices in the corresponding dimension, and * perform the output computations in parallel. */ #ifndef TYPE #error "Do not compile xgemm.c directly, compile sgemm.c or dgemm.c" #endif #include #include #include #include #include #include #include #include #ifdef STARPU_USE_CUDA #include #include static const TYPE p1 = 1.0; static const TYPE m1 = -1.0; static const TYPE v0 = 0.0; #endif static unsigned niter = 10; static unsigned nsleeps = 1; static unsigned nslicesx = 4; static unsigned nslicesy = 4; #if defined(STARPU_QUICK_CHECK) && !defined(STARPU_SIMGRID) static unsigned xdim = 256; static unsigned ydim = 256; static unsigned zdim = 64; #else static unsigned xdim = 960*4; static unsigned ydim = 960*4; static unsigned zdim = 960*4; #endif static unsigned check = 0; static unsigned bound = 0; static unsigned print_hostname = 0; static TYPE *A, *B, *C; static starpu_data_handle_t A_handle, B_handle, C_handle; #define FPRINTF(ofile, fmt, ...) do { if (!getenv("STARPU_SSILENT")) {fprintf(ofile, fmt, ## __VA_ARGS__); }} while(0) #define PRINTF(fmt, ...) do { if (!getenv("STARPU_SSILENT")) {printf(fmt, ## __VA_ARGS__); fflush(stdout); }} while(0) static void check_output(void) { /* compute C = C - AB */ CPU_GEMM("N", "N", ydim, xdim, zdim, (TYPE)-1.0f, A, ydim, B, zdim, (TYPE)1.0f, C, ydim); /* make sure C = 0 */ TYPE err; err = CPU_ASUM(xdim*ydim, C, 1); if (err < xdim*ydim*0.001) { FPRINTF(stderr, "Results are OK\n"); } else { int max; max = CPU_IAMAX(xdim*ydim, C, 1); FPRINTF(stderr, "There were errors ... err = %f\n", err); FPRINTF(stderr, "Max error : %e\n", C[max]); } } static void init_problem_data(void) { #ifndef STARPU_SIMGRID unsigned i,j; #endif starpu_malloc_flags((void **)&A, zdim*ydim*sizeof(TYPE), STARPU_MALLOC_PINNED|STARPU_MALLOC_SIMULATION_FOLDED); starpu_malloc_flags((void **)&B, xdim*zdim*sizeof(TYPE), STARPU_MALLOC_PINNED|STARPU_MALLOC_SIMULATION_FOLDED); starpu_malloc_flags((void **)&C, xdim*ydim*sizeof(TYPE), STARPU_MALLOC_PINNED|STARPU_MALLOC_SIMULATION_FOLDED); #ifndef STARPU_SIMGRID /* fill the A and B matrices */ for (j=0; j < ydim; j++) { for (i=0; i < zdim; i++) { A[j+i*ydim] = (TYPE)(starpu_drand48()); } } for (j=0; j < zdim; j++) { for (i=0; i < xdim; i++) { B[j+i*zdim] = (TYPE)(starpu_drand48()); } } for (j=0; j < ydim; j++) { for (i=0; i < xdim; i++) { C[j+i*ydim] = (TYPE)(0); } } #endif } static void partition_mult_data(void) { starpu_matrix_data_register(&A_handle, STARPU_MAIN_RAM, (uintptr_t)A, ydim, ydim, zdim, sizeof(TYPE)); starpu_matrix_data_register(&B_handle, STARPU_MAIN_RAM, (uintptr_t)B, zdim, zdim, xdim, sizeof(TYPE)); starpu_matrix_data_register(&C_handle, STARPU_MAIN_RAM, (uintptr_t)C, ydim, ydim, xdim, sizeof(TYPE)); struct starpu_data_filter vert; memset(&vert, 0, sizeof(vert)); vert.filter_func = starpu_matrix_filter_vertical_block; vert.nchildren = nslicesx; struct starpu_data_filter horiz; memset(&horiz, 0, sizeof(horiz)); horiz.filter_func = starpu_matrix_filter_block; horiz.nchildren = nslicesy; starpu_data_partition(B_handle, &vert); starpu_data_partition(A_handle, &horiz); starpu_data_map_filters(C_handle, 2, &vert, &horiz); } #ifdef STARPU_USE_CUDA static void cublas_mult(void *descr[], void *arg) { (void)arg; TYPE *subA = (TYPE *)STARPU_MATRIX_GET_PTR(descr[0]); TYPE *subB = (TYPE *)STARPU_MATRIX_GET_PTR(descr[1]); TYPE *subC = (TYPE *)STARPU_MATRIX_GET_PTR(descr[2]); unsigned nxC = STARPU_MATRIX_GET_NX(descr[2]); unsigned nyC = STARPU_MATRIX_GET_NY(descr[2]); unsigned nyA = STARPU_MATRIX_GET_NY(descr[0]); unsigned ldA = STARPU_MATRIX_GET_LD(descr[0]); unsigned ldB = STARPU_MATRIX_GET_LD(descr[1]); unsigned ldC = STARPU_MATRIX_GET_LD(descr[2]); cublasStatus_t status = CUBLAS_GEMM(starpu_cublas_get_local_handle(), CUBLAS_OP_N, CUBLAS_OP_N, nxC, nyC, nyA, &p1, subA, ldA, subB, ldB, &v0, subC, ldC); if (status != CUBLAS_STATUS_SUCCESS) STARPU_CUBLAS_REPORT_ERROR(status); } #endif void cpu_mult(void *descr[], void *arg) { (void)arg; TYPE *subA = (TYPE *)STARPU_MATRIX_GET_PTR(descr[0]); TYPE *subB = (TYPE *)STARPU_MATRIX_GET_PTR(descr[1]); TYPE *subC = (TYPE *)STARPU_MATRIX_GET_PTR(descr[2]); unsigned nxC = STARPU_MATRIX_GET_NX(descr[2]); unsigned nyC = STARPU_MATRIX_GET_NY(descr[2]); unsigned nyA = STARPU_MATRIX_GET_NY(descr[0]); unsigned ldA = STARPU_MATRIX_GET_LD(descr[0]); unsigned ldB = STARPU_MATRIX_GET_LD(descr[1]); unsigned ldC = STARPU_MATRIX_GET_LD(descr[2]); int worker_size = starpu_combined_worker_get_size(); if (worker_size == 1) { /* Sequential CPU task */ CPU_GEMM("N", "N", nxC, nyC, nyA, (TYPE)1.0, subA, ldA, subB, ldB, (TYPE)0.0, subC, ldC); } else { /* Parallel CPU task */ unsigned rank = starpu_combined_worker_get_rank(); unsigned block_size = (nyC + worker_size - 1)/worker_size; unsigned new_nyC = STARPU_MIN(nyC, block_size*(rank+1)) - block_size*rank; STARPU_ASSERT(nyC == STARPU_MATRIX_GET_NY(descr[1])); TYPE *new_subB = &subB[block_size*rank]; TYPE *new_subC = &subC[block_size*rank]; CPU_GEMM("N", "N", nxC, new_nyC, nyA, (TYPE)1.0, subA, ldA, new_subB, ldB, (TYPE)0.0, new_subC, ldC); } } static struct starpu_perfmodel starpu_gemm_model = { .type = STARPU_HISTORY_BASED, .symbol = STARPU_GEMM_STR(gemm) }; static struct starpu_codelet cl = { .type = STARPU_SEQ, /* changed to STARPU_SPMD if -spmd is passed */ .max_parallelism = INT_MAX, .cpu_funcs = {cpu_mult}, .cpu_funcs_name = {"cpu_mult"}, #ifdef STARPU_USE_CUDA .cuda_funcs = {cublas_mult}, #elif defined(STARPU_SIMGRID) .cuda_funcs = {(void*)1}, #endif .cuda_flags = {STARPU_CUDA_ASYNC}, .nbuffers = 3, .modes = {STARPU_R, STARPU_R, STARPU_RW}, .model = &starpu_gemm_model }; static void parse_args(int argc, char **argv) { int i; for (i = 1; i < argc; i++) { if (strcmp(argv[i], "-nblocks") == 0) { char *argptr; nslicesx = strtol(argv[++i], &argptr, 10); nslicesy = nslicesx; } else if (strcmp(argv[i], "-nblocksx") == 0) { char *argptr; nslicesx = strtol(argv[++i], &argptr, 10); } else if (strcmp(argv[i], "-nblocksy") == 0) { char *argptr; nslicesy = strtol(argv[++i], &argptr, 10); } else if (strcmp(argv[i], "-x") == 0) { char *argptr; xdim = strtol(argv[++i], &argptr, 10); } else if (strcmp(argv[i], "-xy") == 0) { char *argptr; xdim = ydim = strtol(argv[++i], &argptr, 10); } else if (strcmp(argv[i], "-y") == 0) { char *argptr; ydim = strtol(argv[++i], &argptr, 10); } else if (strcmp(argv[i], "-z") == 0) { char *argptr; zdim = strtol(argv[++i], &argptr, 10); } else if (strcmp(argv[i], "-size") == 0) { char *argptr; xdim = ydim = zdim = strtol(argv[++i], &argptr, 10); } else if (strcmp(argv[i], "-iter") == 0) { char *argptr; niter = strtol(argv[++i], &argptr, 10); } else if (strcmp(argv[i], "-nsleeps") == 0) { char *argptr; nsleeps = strtol(argv[++i], &argptr, 10); } else if (strcmp(argv[i], "-bound") == 0) { bound = 1; } else if (strcmp(argv[i], "-hostname") == 0) { print_hostname = 1; } else if (strcmp(argv[i], "-check") == 0) { check = 1; } else if (strcmp(argv[i], "-spmd") == 0) { cl.type = STARPU_SPMD; } else if (strcmp(argv[i], "-help") == 0 || strcmp(argv[i], "--help") == 0 || strcmp(argv[i], "-h") == 0) { fprintf(stderr,"Usage: %s [-nblocks n] [-nblocksx x] [-nblocksy y] [-x x] [-y y] [-xy n] [-z z] [-size size] [-iter iter] [-bound] [-check] [-spmd] [-hostname] [-nsleeps nsleeps]\n", argv[0]); fprintf(stderr,"Currently selected: %ux%u * %ux%u and %ux%u blocks, %u iterations, %u sleeps\n", zdim, ydim, xdim, zdim, nslicesx, nslicesy, niter, nsleeps); exit(EXIT_SUCCESS); } else { fprintf(stderr,"Unrecognized option %s", argv[i]); exit(EXIT_FAILURE); } } } int main(int argc, char **argv) { double start, end; int ret; parse_args(argc, argv); #ifdef STARPU_QUICK_CHECK niter /= 10; #endif starpu_fxt_autostart_profiling(0); ret = starpu_init(NULL); if (ret == -ENODEV) return 77; STARPU_CHECK_RETURN_VALUE(ret, "starpu_init"); starpu_cublas_init(); init_problem_data(); partition_mult_data(); PRINTF("# "); if (print_hostname) PRINTF("node\t"); PRINTF("x\ty\tz\tms\tGFlops"); if (bound) PRINTF("\tTms\tTGFlops\tTims\tTiGFlops"); PRINTF("\n"); unsigned sleeps; for (sleeps = 0; sleeps < nsleeps; sleeps++) { if (bound) starpu_bound_start(0, 0); starpu_fxt_start_profiling(); start = starpu_timing_now(); unsigned x, y, iter; for (iter = 0; iter < niter; iter++) { for (x = 0; x < nslicesx; x++) for (y = 0; y < nslicesy; y++) { struct starpu_task *task = starpu_task_create(); task->cl = &cl; task->handles[0] = starpu_data_get_sub_data(A_handle, 1, y); task->handles[1] = starpu_data_get_sub_data(B_handle, 1, x); task->handles[2] = starpu_data_get_sub_data(C_handle, 2, x, y); task->flops = 2ULL * (xdim/nslicesx) * (ydim/nslicesy) * zdim; ret = starpu_task_submit(task); if (ret == -ENODEV) { ret = 77; goto enodev; } STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_submit"); starpu_data_wont_use(starpu_data_get_sub_data(C_handle, 2, x, y)); } starpu_task_wait_for_all(); } end = starpu_timing_now(); starpu_fxt_stop_profiling(); if (bound) starpu_bound_stop(); double timing = end - start; double min, min_int; double flops = 2.0*((unsigned long long)niter)*((unsigned long long)xdim) *((unsigned long long)ydim)*((unsigned long long)zdim); if (bound) starpu_bound_compute(&min, &min_int, 1); if (print_hostname) { char hostname[255]; gethostname(hostname, 255); PRINTF("%s\t", hostname); } PRINTF("%u\t%u\t%u\t%.0f\t%.1f", xdim, ydim, zdim, timing/niter/1000.0, flops/timing/1000.0); if (bound) PRINTF("\t%.0f\t%.1f\t%.0f\t%.1f", min, flops/min/1000000.0, min_int, flops/min_int/1000000.0); PRINTF("\n"); if (sleeps < nsleeps-1) { sleep(10); } } enodev: starpu_data_unpartition(C_handle, STARPU_MAIN_RAM); starpu_data_unpartition(B_handle, STARPU_MAIN_RAM); starpu_data_unpartition(A_handle, STARPU_MAIN_RAM); starpu_data_unregister(A_handle); starpu_data_unregister(B_handle); starpu_data_unregister(C_handle); if (check) check_output(); starpu_free_flags(A, zdim*ydim*sizeof(TYPE), STARPU_MALLOC_PINNED|STARPU_MALLOC_SIMULATION_FOLDED); starpu_free_flags(B, xdim*zdim*sizeof(TYPE), STARPU_MALLOC_PINNED|STARPU_MALLOC_SIMULATION_FOLDED); starpu_free_flags(C, xdim*ydim*sizeof(TYPE), STARPU_MALLOC_PINNED|STARPU_MALLOC_SIMULATION_FOLDED); starpu_cublas_shutdown(); starpu_shutdown(); return ret; }