1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165
|
/* StarPU --- Runtime system for heterogeneous multicore architectures.
*
* Copyright (C) 2011, 2012 Centre National de la Recherche Scientifique
*
* 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 <starpu_mpi.h>
#include <math.h>
#include "helper.h"
void func_cpu(void *descr[], __attribute__ ((unused)) void *_args)
{
unsigned *matrix = (unsigned *)STARPU_MATRIX_GET_PTR(descr[0]);
int nx = (int)STARPU_MATRIX_GET_NX(descr[0]);
int ny = (int)STARPU_MATRIX_GET_NY(descr[0]);
int ld = (int)STARPU_MATRIX_GET_LD(descr[0]);
int i, j;
unsigned sum=0;
for (i = 0; i < nx; i++)
{
for (j = 0; j < ny; j++)
{
sum += matrix[i+j*ld];
}
}
for (i = 0; i < nx; i++)
{
for (j = 0; j < ny; j++)
{
matrix[i+j*ld] = sum;///(nx*ny);
}
}
}
struct starpu_codelet mycodelet =
{
.where = STARPU_CPU,
.cpu_funcs = {func_cpu, NULL},
.nbuffers = 1,
.modes = {STARPU_RW}
};
#define SIZE 6
#define BLOCKS 3
/* Returns the MPI node number where data indexes index is */
int my_distrib(int x, int y, int nb_nodes)
{
return x % nb_nodes;
}
int main(int argc, char **argv)
{
int rank, size, x, y;
int ret, value=0;
unsigned matrix[SIZE*SIZE];
starpu_data_handle_t data_handles[SIZE][SIZE];
ret = starpu_init(NULL);
STARPU_CHECK_RETURN_VALUE(ret, "starpu_init");
ret = starpu_mpi_initialize_extended(&rank, &size);
STARPU_CHECK_RETURN_VALUE(ret, "starpu_mpi_initialize_extended");
for(x = 0; x < SIZE; x++)
{
for (y = 0; y < SIZE; y++)
{
matrix[x+y*SIZE] = rank*100 + value;
value++;
}
}
#if 1
for(x = 0; x < SIZE; x++) {
FPRINTF(stdout, "[%d] ", rank);
for (y = 0; y < SIZE; y++) {
FPRINTF(stdout, "%3d ", matrix[x+y*SIZE]);
}
FPRINTF(stdout, "\n");
}
#endif
for(x = 0; x < BLOCKS ; x++)
{
for (y = 0; y < BLOCKS; y++)
{
int mpi_rank = my_distrib(x, y, size);
if (mpi_rank == rank)
{
//FPRINTF(stderr, "[%d] Owning data[%d][%d]\n", rank, x, y);
starpu_matrix_data_register(&data_handles[x][y], 0, (uintptr_t)&(matrix[((SIZE/BLOCKS)*x) + ((SIZE/BLOCKS)*y) * SIZE]),
SIZE, SIZE/BLOCKS, SIZE/BLOCKS, sizeof(unsigned));
}
else if (rank == mpi_rank+1 || rank == mpi_rank-1)
{
/* I don't own that index, but will need it for my computations */
//FPRINTF(stderr, "[%d] Neighbour of data[%d][%d]\n", rank, x, y);
starpu_matrix_data_register(&data_handles[x][y], -1, (uintptr_t)&(matrix[((SIZE/BLOCKS)*x) + ((SIZE/BLOCKS)*y) * SIZE]),
SIZE, SIZE/BLOCKS, SIZE/BLOCKS, sizeof(unsigned));
}
else
{
/* I know it's useless to allocate anything for this */
data_handles[x][y] = NULL;
}
if (data_handles[x][y])
{
starpu_data_set_rank(data_handles[x][y], mpi_rank);
starpu_data_set_tag(data_handles[x][y], (y*BLOCKS)+x);
}
}
}
for(x = 0; x < BLOCKS; x++)
{
for (y = 0; y < BLOCKS; y++)
{
ret = starpu_mpi_insert_task(MPI_COMM_WORLD, &mycodelet,
STARPU_RW, data_handles[x][y],
0);
STARPU_CHECK_RETURN_VALUE(ret, "starpu_mpi_insert_task");
}
}
FPRINTF(stderr, "Waiting ...\n");
starpu_task_wait_for_all();
for(x = 0; x < BLOCKS; x++)
{
for (y = 0; y < BLOCKS; y++)
{
if (data_handles[x][y])
starpu_data_unregister(data_handles[x][y]);
}
}
starpu_mpi_shutdown();
starpu_shutdown();
#if 1
for(x = 0; x < SIZE; x++)
{
FPRINTF(stdout, "[%d] ", rank);
for (y = 0; y < SIZE; y++) {
FPRINTF(stdout, "%3d ", matrix[x+y*SIZE]);
}
FPRINTF(stdout, "\n");
}
#endif
return 0;
}
|