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📄 coll7.c

📁 mpi并行计算的c++代码 可用vc或gcc编译通过 可以用来搭建并行计算试验环境
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/* -*- Mode: C; c-basic-offset:4 ; -*- *//* *  (C) 2001 by Argonne National Laboratory. *      See COPYRIGHT in top-level directory. */#include "mpi.h"#include <stdio.h>#define MAX_PROCESSES 10int main( int argc, char **argv ){    int              rank, size, i,j;    int              table[MAX_PROCESSES][MAX_PROCESSES];    int              errors=0;    int              participants;    MPI_Init( &argc, &argv );    MPI_Comm_rank( MPI_COMM_WORLD, &rank );    MPI_Comm_size( MPI_COMM_WORLD, &size );    /* A maximum of MAX_PROCESSES processes can participate */    if ( size > MAX_PROCESSES ) participants = MAX_PROCESSES;    else              participants = size;    if (MAX_PROCESSES % participants) {	fprintf( stderr, "Number of processors must divide %d\n",		MAX_PROCESSES );	MPI_Abort( MPI_COMM_WORLD, 1 );	}    /* while (MAX_PROCESSES % participants) participants--; */    if ( (rank < participants) ) {      /* Determine what rows are my responsibility */      int block_size = MAX_PROCESSES / participants;      int begin_row  = rank * block_size;      int end_row    = (rank+1) * block_size;      int send_count = block_size * MAX_PROCESSES;      int recv_count = send_count;      /* Paint my rows my color */      for (i=begin_row; i<end_row ;i++)	for (j=0; j<MAX_PROCESSES; j++)	  table[i][j] = rank + 10;      /* Everybody gets the gathered table */      MPI_Allgather(&table[begin_row][0], send_count, MPI_INT, 		   &table[0][0],          recv_count, MPI_INT, MPI_COMM_WORLD);      /* Everybody should have the same table now,  */      /* This test does not in any way guarantee there are no errors */      /* Print out a table or devise a smart test to make sure it's correct */      for (i=0; i<MAX_PROCESSES;i++) {	if ( (table[i][0] - table[i][MAX_PROCESSES-1] !=0) ) 	  errors++;      }    }     MPI_Finalize();    if (errors)        printf( "[%d] done with ERRORS(%d)!\n", rank, errors );    else {	if (rank == 0) 	    printf(" No Errors\n");    }    return errors;}

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