/* StarPU --- Runtime system for heterogeneous multicore architectures. * * Copyright (C) 2009, 2010 Université de Bordeaux 1 * Copyright (C) 2010 Mehdi Juhoor * Copyright (C) 2010, 2011 Centre National de la Recherche Scientifique * * 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. */ #include #include #include #include #include #include #ifdef STARPU_USE_CUDA #include #endif #define TYPE float #define AXPY SAXPY #define CUBLASAXPY cublasSaxpy #define N (16*1024*1024) #define NBLOCKS 8 #define FPRINTF(ofile, fmt, args ...) do { if (!getenv("STARPU_SSILENT")) {fprintf(ofile, fmt, ##args); }} while(0) TYPE *vec_x, *vec_y; /* descriptors for StarPU */ starpu_data_handle handle_y, handle_x; void axpy_cpu(void *descr[], __attribute__((unused)) void *arg) { TYPE alpha = *((TYPE *)arg); unsigned n = STARPU_VECTOR_GET_NX(descr[0]); TYPE *block_x = (TYPE *)STARPU_VECTOR_GET_PTR(descr[0]); TYPE *block_y = (TYPE *)STARPU_VECTOR_GET_PTR(descr[1]); AXPY((int)n, alpha, block_x, 1, block_y, 1); } #ifdef STARPU_USE_CUDA void axpy_gpu(void *descr[], __attribute__((unused)) void *arg) { TYPE alpha = *((TYPE *)arg); unsigned n = STARPU_VECTOR_GET_NX(descr[0]); TYPE *block_x = (TYPE *)STARPU_VECTOR_GET_PTR(descr[0]); TYPE *block_y = (TYPE *)STARPU_VECTOR_GET_PTR(descr[1]); CUBLASAXPY((int)n, alpha, block_x, 1, block_y, 1); cudaThreadSynchronize(); } #endif static starpu_codelet axpy_cl = { .where = #ifdef STARPU_USE_CUDA STARPU_CUDA| #endif STARPU_CPU, .cpu_func = axpy_cpu, #ifdef STARPU_USE_CUDA .cuda_func = axpy_gpu, #endif .nbuffers = 2 }; int main(int argc, char **argv) { /* Initialize StarPU */ starpu_init(NULL); starpu_helper_cublas_init(); /* This is equivalent to vec_a = malloc(N*sizeof(TYPE)); vec_b = malloc(N*sizeof(TYPE)); */ starpu_data_malloc_pinned_if_possible((void **)&vec_x, N*sizeof(TYPE)); assert(vec_x); starpu_data_malloc_pinned_if_possible((void **)&vec_y, N*sizeof(TYPE)); assert(vec_y); unsigned i; for (i = 0; i < N; i++) { vec_x[i] = 1.0f;//(TYPE)starpu_drand48(); vec_y[i] = 4.0f;//(TYPE)starpu_drand48(); } FPRINTF(stderr, "BEFORE x[0] = %2.2f\n", vec_x[0]); FPRINTF(stderr, "BEFORE y[0] = %2.2f\n", vec_y[0]); /* Declare the data to StarPU */ starpu_vector_data_register(&handle_x, 0, (uintptr_t)vec_x, N, sizeof(TYPE)); starpu_vector_data_register(&handle_y, 0, (uintptr_t)vec_y, N, sizeof(TYPE)); /* Divide the vector into blocks */ struct starpu_data_filter block_filter = { .filter_func = starpu_block_filter_func_vector, .nchildren = NBLOCKS, .get_nchildren = NULL, .get_child_ops = NULL }; starpu_data_partition(handle_x, &block_filter); starpu_data_partition(handle_y, &block_filter); TYPE alpha = 3.41; struct timeval start; struct timeval end; gettimeofday(&start, NULL); unsigned b; for (b = 0; b < NBLOCKS; b++) { struct starpu_task *task = starpu_task_create(); task->cl = &axpy_cl; task->cl_arg = α task->buffers[0].handle = starpu_data_get_sub_data(handle_x, 1, b); task->buffers[0].mode = STARPU_R; task->buffers[1].handle = starpu_data_get_sub_data(handle_y, 1, b); task->buffers[1].mode = STARPU_RW; starpu_task_submit(task); } starpu_task_wait_for_all(); starpu_data_unpartition(handle_y, 0); starpu_data_unregister(handle_y); gettimeofday(&end, NULL); double timing = (double)((end.tv_sec - start.tv_sec)*1000000 + (end.tv_usec - start.tv_usec)); FPRINTF(stderr, "timing -> %2.2f us %2.2f MB/s\n", timing, 3*N*sizeof(TYPE)/timing); FPRINTF(stderr, "AFTER y[0] = %2.2f (ALPHA = %2.2f)\n", vec_y[0], alpha); /* Stop StarPU */ starpu_shutdown(); return 0; }