| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748 | /* StarPU --- Runtime system for heterogeneous multicore architectures. * * Copyright (C) 2010, 2011, 2012, 2013  Centre National de la Recherche Scientifique * Copyright (C) 2010  Université de Bordeaux 1 * * 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. *//* * This example complements vector_scal.c: here we implement a CUDA version. */#include <starpu.h>static __global__ void vector_mult_cuda(unsigned n, float *val,                                        float factor){        unsigned i =  blockIdx.x*blockDim.x + threadIdx.x;	if (i < n)               val[i] *= factor;}extern "C" void scal_cuda_func(void *buffers[], void *_args){        float *factor = (float *)_args;        /* length of the vector */        unsigned n = STARPU_VECTOR_GET_NX(buffers[0]);        /* local copy of the vector pointer */        float *val = (float *)STARPU_VECTOR_GET_PTR(buffers[0]);	unsigned threads_per_block = 64;	unsigned nblocks = (n + threads_per_block-1) / threads_per_block;        vector_mult_cuda<<<nblocks,threads_per_block,0,starpu_cuda_get_local_stream()>>>(n, val, *factor);	cudaStreamSynchronize(starpu_cuda_get_local_stream());}
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