我刚刚开始使用MPI编程,并决定使用OpenMPI创建一个简单的分布式qsort。要分发我要排序的数组的部分,我正在尝试使用MPI_Scatterv,但以下代码段错误对我:
#include <stdio.h>
#include <string.h>
#include <stdlib.h>
#include <time.h>
#include <mpi.h>
#define ARRAY_SIZE 26
#define BUFFER_SIZE 2048
int main(int argc, char** argv) {
int my_rank, nr_procs;
int* data_in, *data_out;
int* sizes;
int* offsets;
srand(time(0));
MPI_Init(&argc, &argv);
MPI_Comm_size(MPI_COMM_WORLD, &nr_procs);
MPI_Comm_rank(MPI_COMM_WORLD, &my_rank);
// everybody generates the control tables
int nr_workers = nr_procs-1;
sizes = malloc(sizeof(int)*nr_workers);
offsets = malloc(sizeof(int)*nr_workers);
int nr_elems = ARRAY_SIZE/nr_workers;
// basic distribution
for (int i = 0; i < nr_workers; ++i) {
sizes[i] = nr_elems;
}
// distribute the remainder
int left = ARRAY_SIZE%nr_workers;
int curr_worker = 0;
while (left) {
++sizes[curr_worker];
curr_worker = (++curr_worker)%nr_workers;
--left;
}
// offsets
int curr_offset = 0;
for (int i = 0; i < nr_workers; ++i) {
offsets[i] = curr_offset;
curr_offset += sizes[i];
}
if (my_rank == 0) {
// root
data_in = malloc(sizeof(int)*ARRAY_SIZE);
data_out = malloc(sizeof(int)*ARRAY_SIZE);
for (int i = 0; i < ARRAY_SIZE; ++i) {
data_in[i] = rand();
}
for (int i = 0; i < nr_workers; ++i) {
printf("%d at %d\n", sizes[i], offsets[i]);
}
MPI_Scatterv (data_in, sizes, offsets, MPI_INT, data_out, ARRAY_SIZE, MPI_INT, 0, MPI_COMM_WORLD);
} else {
// worker
printf("%d has %d elements!\n",my_rank, sizes[my_rank-1]);
// alloc the input buffer
data_in = malloc(sizeof(int)*sizes[my_rank-1]);
MPI_Scatterv(NULL, NULL, NULL, MPI_INT, data_in, sizes[my_rank-1], MPI_INT, 0, MPI_COMM_WORLD);
printf("%d got:\n", my_rank);
for (int i = 0; i < sizes[my_rank-1]; ++i) {
printf("%d ", data_in[i]);
}
printf("\n");
}
MPI_Finalize();
return 0;
}
我如何使用Scatterv?我是否在从工作程序代码中分配输入缓冲区时出错?
答案 0 :(得分:1)
我更改了代码中的某些部分以使某些工作正常。
MPI_Scatter()
会将数据发送到每个处理器,包括他自己。根据您的程序,处理器0需要ARRAY_SIZE
个整数,但sizes[0]
要小得多。
其他进程还存在其他问题:MPI_Scatter将发送sizes[my_rank]
个整数,但预计会sizes[my_rank-1]
...
这是一个将data_in
从0分散到所有处理器的代码,包括0.因此我将{1}添加到nr_workers
:
#include <stdio.h>
#include <string.h>
#include <stdlib.h>
#include <time.h>
#include <mpi.h>
#define ARRAY_SIZE 26
#define BUFFER_SIZE 2048
int main(int argc, char** argv) {
int my_rank, nr_procs;
int* data_in, *data_out;
int* sizes;
int* offsets;
srand(time(0));
MPI_Init(&argc, &argv);
MPI_Comm_size(MPI_COMM_WORLD, &nr_procs);
MPI_Comm_rank(MPI_COMM_WORLD, &my_rank);
// everybody generates the control tables
int nr_workers = nr_procs;
sizes = malloc(sizeof(int)*nr_workers);
offsets = malloc(sizeof(int)*nr_workers);
int nr_elems = ARRAY_SIZE/nr_workers;
// basic distribution
for (int i = 0; i < nr_workers; ++i) {
sizes[i] = nr_elems;
}
// distribute the remainder
int left = ARRAY_SIZE%nr_workers;
int curr_worker = 0;
while (left) {
++sizes[curr_worker];
curr_worker = (++curr_worker)%nr_workers;
--left;
}
// offsets
int curr_offset = 0;
for (int i = 0; i < nr_workers; ++i) {
offsets[i] = curr_offset;
curr_offset += sizes[i];
}
if (my_rank == 0) {
// root
data_in = malloc(sizeof(int)*ARRAY_SIZE);
for (int i = 0; i < ARRAY_SIZE; ++i) {
data_in[i] = rand();
printf("%d %d \n",i,data_in[i]);
}
for (int i = 0; i < nr_workers; ++i) {
printf("%d at %d\n", sizes[i], offsets[i]);
}
} else {
printf("%d has %d elements!\n",my_rank, sizes[my_rank]);
}
data_out = malloc(sizeof(int)*sizes[my_rank]);
MPI_Scatterv (data_in, sizes, offsets, MPI_INT, data_out, sizes[my_rank], MPI_INT, 0, MPI_COMM_WORLD);
printf("%d got:\n", my_rank);
for (int i = 0; i < sizes[my_rank]; ++i) {
printf("%d ", data_out[i]);
}
printf("\n");
free(data_out);
if(my_rank==0){
free(data_in);
}
MPI_Finalize();
return 0;
}
关于内存管理,应在代码末尾释放data_in
和data_out
。
这是你想做的吗?祝qsort好运!我认为你不是第一个使用MPI对整数进行排序的人。见parallel sort using mpi。你在0 processus上生成随机数然后分散它们的方法是正确的方法。我想你会被他的TD_Trier()
通讯功能所吸引。即使您更改了tri_fusion(T, 0, size - 1);
的{{1}} ...
再见,
弗朗西斯