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c - MPI 分散/发送数据到进程

转载 作者:行者123 更新时间:2023-11-30 20:30:56 30 4
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我正在使用 n = 2 运行我的代码。我一直在尝试研究,但我不明白为什么当我尝试多次运行我的代码时会获得不同的输出。 在下面,您可以看到当我使用 n = 2 运行时的输出,并且我的 txt.file 每行包含 73 个字符,由 4 行组成。

这是我第一次运行的输出,是预期和想要的输出 This is my output the first time and run and is the expected and wanted output

这是我第二次运行代码时的输出 This is the output the second time I run the code

这是我第三次运行代码的输出 This is the output the third time I run the code

我不知道如何防止图像 2 中发生错误(第二个打印行中有一个\274),但特别是在第三次运行代码时出现错误。我必须使用 MPI_Allocate 吗?我是否提前释放了矩阵?

这是我的代码:

#define MAXCHAR 73
#define MAXLENGTH 100

int main(int argc, char** argv) {
FILE *fp;
char* filename = "/Users/test.txt";
char *line = malloc(MAXCHAR);
char (*matA)[MAXCHAR] = NULL;
char str[MAXCHAR];
int rowCount, num_rows, i, my_id,
root_process,num_procs,rows_per_process;

MPI_Init(&argc, &argv);
root_process = 0;



/* find out MY process ID, and how many processes were started. */
MPI_Comm_rank(MPI_COMM_WORLD, &my_id);
MPI_Comm_size(MPI_COMM_WORLD, &num_procs);


// READ TXT FILE INTO DYNAMIC ARRAY
if(my_id == root_process){
fp = fopen(filename, "r");
if (fp == NULL){
printf("Could not open file %s",filename);
return 1;
}
//NUMBER OF lines
size_t count=1000;
rowCount=0;
while(getline(&line, &count, fp)!=-1) {
rowCount++;
}
//REWIND file
rewind(fp);

matA = malloc(rowCount*sizeof(matA));
i = 0;
while (fgets(str, MAXCHAR, fp) != NULL){
for (size_t j = 0; j < MAXCHAR; j++) {
if(str[j] == '\n'){
continue;
}
matA[i][j] = str[j];
}
i++;
num_rows = i;
}
fclose(fp);

}

// BCAST rowCount to Calculate rows each process will receive
MPI_Bcast(&rowCount, 1, MPI_INT, 0, MPI_COMM_WORLD);
rows_per_process = rowCount/num_procs;



char(*part_matrix)[MAXCHAR];
part_matrix = malloc(rows_per_process*sizeof(*part_matrix));


MPI_Scatter(&(matA[0][0]), rows_per_process*73, MPI_CHAR, &(part_matrix[0][0]), rows_per_process*73, MPI_CHAR, 0, MPI_COMM_WORLD);
printf("Process %i received %i rows:\n", my_id, rows_per_process);

// PRINTING
for (size_t i = 0; i < rows_per_process; i++) {
printf("PROCESS %i PRINTS LINE NUMBER %zu:\n", my_id, i);
for (size_t j = 0; j < MAXCHAR; j++) {
printf("%c", part_matrix[i][j]);
}
printf("\n" );
}

free(part_matrix);
MPI_Finalize();
return 0;
}

最佳答案

我相信您的大部分问题都来自于以下事实:

char (*matA)[MAXCHAR] = NULL;
matA = malloc(rowCount*sizeof(matA));

这是一种奇怪的数据分配方式。

char *matA = NULL;
matA = malloc(rowCount*MAXCHAR*sizeof(char));

看起来更合理

同样的情况

char *part_matrix=NULL;
part_matrix = (char*) malloc(rows_per_process*MAXCHAR*sizeof(char));

这样,您就可以确保 matA 和 part_matrix 在内存中连续,并且在使用 MPI 函数时不会造成任何损害(内存方面)。

MPI_Scatter simply becomes MPI_Scatter(matA, rows_per_process*MAXCHAR, MPI_CHAR, part_matrix, rows_per_process*MAXCHAR, MPI_CHAR, 0, MPI_COMM_WORLD);

我改变了你阅读文件的方式,以便工作......

matA = (char*)malloc(rowCount*MAXCHAR*sizeof(char));
i = 0;
while (getline(&line, &count, fp)!=-1){
for (j = 0; j < MAXCHAR; j++) {
matA[i*MAXCHAR+j] = line[j];
}
i++;
num_rows = i;
}

因此,您获得了完整的工作示例,其中 test.txt

AAAAAAAA AAAAAAAA AAAAAAAA AAAAAAAA AAAAAAAA AAAAAAAA AAAAAAAA AAAAAAAA  
BBBBBBBB BBBBBBBB BBBBBBBB BBBBBBBB BBBBBBBB BBBBBBBB BBBBBBBB BBBBBBBB
CCCCCCCC CCCCCCCC CCCCCCCC CCCCCCCC CCCCCCCC CCCCCCCC CCCCCCCC CCCCCCCC
DDDDDDDD DDDDDDDD DDDDDDDD DDDDDDDD DDDDDDDD DDDDDDDD DDDDDDDD DDDDDDDD

主文件

#include <stdlib.h>
#include <stdio.h>
#include "mpi.h"
#define MAXCHAR 73
#define MAXLENGTH 100

int main(int argc, char** argv) {
FILE *fp;
char* filename = "test.txt";
char *line = (char*) malloc(MAXLENGTH);
char * matA= NULL;
char str[MAXCHAR];
int rowCount, num_rows, i, my_id,
root_process,num_procs,rows_per_process, j;

MPI_Init(&argc, &argv);
root_process = 0;



/* find out MY process ID, and how many processes were started. */
MPI_Comm_rank(MPI_COMM_WORLD, &my_id);
MPI_Comm_size(MPI_COMM_WORLD, &num_procs);

// READ TXT FILE INTO DYNAMIC ARRAY
if(my_id == root_process){
fp = fopen(filename, "r");
if (fp == NULL){
printf("Could not open file %s",filename);
return 1;
}
//NUMBER OF lines
size_t count=1000;
rowCount=0;
while(getline(&line, &count, fp)!=-1) {
rowCount++;
}
//REWIND file
rewind(fp);

matA = (char*)malloc(rowCount*MAXCHAR*sizeof(char));
i = 0;
while (getline(&line, &count, fp)!=-1){
for (j = 0; j < MAXCHAR; j++) {
matA[i*MAXCHAR+j] = line[j];
}
i++;
num_rows = i;
}
fclose(fp);
}

// BCAST rowCount to Calculate rows each process will receive
MPI_Bcast(&rowCount, 1, MPI_INT, 0, MPI_COMM_WORLD);
rows_per_process = rowCount/num_procs;


char *part_matrix = NULL;
part_matrix = (char*) malloc(rows_per_process*MAXCHAR*sizeof(char));


MPI_Scatter(matA, rows_per_process*MAXCHAR, MPI_CHAR, part_matrix, rows_per_process*MAXCHAR, MPI_CHAR, 0, MPI_COMM_WORLD);

if(my_id == root_process){
free(matA);
}

printf("Process %i received %i rows:\n", my_id, rows_per_process);
// PRINTING
for (i = 0; i < rows_per_process; i++) {
printf("PROCESS %i PRINTS LINE NUMBER %zu:\n", my_id, i);
for (j = 0; j < MAXCHAR; j++) {
printf("%c", part_matrix[i*MAXCHAR+j]);
}
printf("\n" );
}

free(part_matrix);
MPI_Finalize();
return 0;
}

mpirun -n 4 返回

PROCESS 0 PRINTS LINE NUMBER 0:
AAAAAAAA AAAAAAAA AAAAAAAA AAAAAAAA AAAAAAAA AAAAAAAA AAAAAAAA AAAAAAAA
Process 1 received 1 rows:
PROCESS 1 PRINTS LINE NUMBER 0:
BBBBBBBB BBBBBBBB BBBBBBBB BBBBBBBB BBBBBBBB BBBBBBBB BBBBBBBB BBBBBBBB
Process 2 received 1 rows:
PROCESS 2 PRINTS LINE NUMBER 0:
CCCCCCCC CCCCCCCC CCCCCCCC CCCCCCCC CCCCCCCC CCCCCCCC CCCCCCCC CCCCCCCC
Process 3 received 1 rows:
PROCESS 3 PRINTS LINE NUMBER 0:
DDDDDDDD DDDDDDDD DDDDDDDD DDDDDDDD DDDDDDDD DDDDDDDD DDDDDDDD DDDDDDDD

mpirun -n 2 返回

Process 0 received 2 rows:
PROCESS 0 PRINTS LINE NUMBER 0:
AAAAAAAA AAAAAAAA AAAAAAAA AAAAAAAA AAAAAAAA AAAAAAAA AAAAAAAA AAAAAAAA
PROCESS 0 PRINTS LINE NUMBER 1:
BBBBBBBB BBBBBBBB BBBBBBBB BBBBBBBB BBBBBBBB BBBBBBBB BBBBBBBB BBBBBBBB
Process 1 received 2 rows:
PROCESS 1 PRINTS LINE NUMBER 0:
CCCCCCCC CCCCCCCC CCCCCCCC CCCCCCCC CCCCCCCC CCCCCCCC CCCCCCCC CCCCCCCC
PROCESS 1 PRINTS LINE NUMBER 1:
DDDDDDDD DDDDDDDD DDDDDDDD DDDDDDDD DDDDDDDD DDDDDDDD DDDDDDDD DDDDDDDD

关于c - MPI 分散/发送数据到进程,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/52981783/

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