/* StarPU --- Runtime system for heterogeneous multicore architectures. * * Copyright (C) 2010-2021 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. */ #include #include #define MAXNBLOCKS 32 #define MAXTHREADSPERBLOCK 128 static __global__ void increment_vector(unsigned *v, unsigned *tmp, int nx) { const int tid = threadIdx.x + blockIdx.x*blockDim.x; const int nthreads = gridDim.x * blockDim.x; int i; for (i = tid; i < nx; i += nthreads) { v[i] = tmp[i] + 1; } } extern "C" void cuda_f(void *descr[], void *_args) { unsigned *v = (unsigned *)STARPU_VECTOR_GET_PTR(descr[0]); unsigned *tmp = (unsigned *)STARPU_VECTOR_GET_PTR(descr[1]); unsigned nx = STARPU_VECTOR_GET_NX(descr[0]); size_t elemsize = STARPU_VECTOR_GET_ELEMSIZE(descr[0]); cudaMemcpyAsync(tmp, v, nx*elemsize, cudaMemcpyDeviceToDevice, starpu_cuda_get_local_stream()); unsigned nblocks = 128; unsigned nthread_per_block = STARPU_MIN(MAXTHREADSPERBLOCK, (nx / nblocks)); increment_vector<<>>(v, tmp, nx); cudaError_t status = cudaGetLastError(); if (status != cudaSuccess) STARPU_CUDA_REPORT_ERROR(status); }