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- /* 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.
- */
- #define _externC extern "C"
- #include "stencil.h"
- /* Perform replication of data on X and Y edges, to fold the domain on
- itself through mere replication of the source state. */
- extern "C" __global__ void cuda_shadow( int bz, TYPE *ptr, int nx, int ny, int nz, int ldy, int ldz, int i)
- {
- unsigned idx = threadIdx.x + blockIdx.x * blockDim.x;
- unsigned idy = threadIdx.y + blockIdx.y * blockDim.y;
- //unsigned idz = threadIdx.z + blockIdx.z * blockDim.z;
- unsigned idz = 0;
- unsigned stepx = blockDim.x * gridDim.x;
- unsigned stepy = blockDim.y * gridDim.y;
- //unsigned stepz = blockDim.z * gridDim.z;
- unsigned stepz = 1;
- unsigned x, y, z;
- #include "shadow.h"
- }
- extern "C" void cuda_shadow_host(int bz, TYPE *ptr, int nx, int ny, int nz, int ldy, int ldz, int i)
- {
- unsigned max_parallelism = 512;
- unsigned threads_per_dim_x = max_parallelism;
- while (threads_per_dim_x / 2 >= nx)
- threads_per_dim_x /= 2;
- unsigned threads_per_dim_y = max_parallelism / threads_per_dim_x;
- while (threads_per_dim_y / 2 >= ny)
- threads_per_dim_y /= 2;
- #if 0
- unsigned threads_per_dim_z = 4;
- dim3 dimBlock(threads_per_dim_x, threads_per_dim_y, threads_per_dim_z);
- dim3 dimGrid(nx / threads_per_dim_x, ny / threads_per_dim_y, nz / threads_per_dim_z);
- #else
- dim3 dimBlock(threads_per_dim_x, threads_per_dim_y);
- dim3 dimGrid((nx + threads_per_dim_x-1) / threads_per_dim_x, (ny + threads_per_dim_y-1) / threads_per_dim_y);
- #endif
- cuda_shadow <<<dimGrid, dimBlock, 0, starpu_cuda_get_local_stream()>>> (bz, ptr, nx, ny, nz, ldy, ldz, i);
- cudaError_t status = cudaGetLastError();
- if (status != cudaSuccess) STARPU_CUDA_REPORT_ERROR(status);
- }
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