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/* StarPU --- Runtime system for heterogeneous multicore architectures.
*
* Copyright (C) 2010-2020 Université de Bordeaux, CNRS (LaBRI UMR 5800), Inria
*
* 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.
*/
//! [To be included. You should update doxygen if you see this text.]
#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);
cudaError_t status = cudaGetLastError();
if (status != cudaSuccess) STARPU_CUDA_REPORT_ERROR(status);
cudaStreamSynchronize(starpu_cuda_get_local_stream());
}
//! [To be included. You should update doxygen if you see this text.]
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