/* StarPU --- Runtime system for heterogeneous multicore architectures. * * Copyright (C) 2010, 2011, 2012 Centre National de la Recherche Scientifique * Copyright (C) 2010, 2011 Université de Bordeaux 1 * * 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. * * The name of the author may not be used to endorse or promote products * derived from this software without specific prior written permission. * * 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 * HOLDERS 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. */ #include static __global__ void vector_mult_cuda(float *val, unsigned n, 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<<>>(val, n, *factor); cudaStreamSynchronize(starpu_cuda_get_local_stream()); }