利用mpi求解微分方程时,经常会遇到不同进程的通讯,特别是如下形式的通讯:
进程0->进程1->进程2->进程3...->进程n->进程0
这时,若单纯的利用MPI_Send, MPI_Recv函数进行通讯的话,容易造成死锁,下面介绍MPI_Sendrecv的来解决这个问题。顾名思义,MPI_Sendrecv表示的作用是将本进程的信息发送出去,并接收其他进程的信息,其调用方式如下:
MPI_Sendrecv( void *sendbuf //initial address of send buffer
int sendcount //number of entries to send
MPI_Datatype sendtype //type of entries in send buffer
int dest //rank of destination
int sendtag //send tag
void *recvbuf //initial address of receive buffer
int recvcount //max number of entries to receive
MPI_Datatype recvtype //type of entries in receive buffer (这里数目是按实数的数目,若数据类型为MPI_COMPLEX时,传递的数目要乘以2)
int source //rank of source
int recvtag //receive tag
MPI_Comm comm //group communicator
MPI_Status status //return status;
下面给出一个实例:
#include
#include "mpi.h"
#include
#define n 4
int
main(int argc, char* argv[]){
int nProcs, Rank, i;
double A0[n],A1[n];
MPI_Status status;
MPI_Init(&argc, &argv);
MPI_Comm_size(MPI_COMM_WORLD, &nProcs);
MPI_Comm_rank(MPI_COMM_WORLD, &Rank);
for(int i=0; i
下面这条语句表示:将进程为Rank的A0发送到rightrank进程,并接收来自leftrank的A1。
MPI_Sendrecv(A0, n, MPI_DOUBLE, rightrank,990,
A1, n, MPI_DOUBLE, leftrank,990, MPI_COMM_WORLD,&status);
得到的数值结果如下:
Before exchange A0 A1
rank:0 0.000000 0.000000
rank:0 0.000000 0.000000
rank:0 0.000000 0.000000
rank:0 0.000000 0.000000
Before exchange A0 A1
rank:1 1.000000 1.000000
rank:1 1.000000 1.000000
rank:1 1.000000 1.000000
rank:1 1.000000 1.000000
Before exchange A0 A1
rank:2 2.000000 2.000000
rank:2 2.000000 2.000000
rank:2 2.000000 2.000000
rank:2 2.000000 2.000000
Before exchange A0 A1
rank:3 3.000000 3.000000
rank:3 3.000000 3.000000
rank:3 3.000000 3.000000
rank:3 3.000000 3.000000
After exchange A0 A1
rank:1 1.000000 0.000000
rank:1 1.000000 0.000000
rank:1 1.000000 0.000000
rank:1 1.000000 0.000000
After exchange A0 A1
rank:2 2.000000 1.000000
rank:2 2.000000 1.000000
rank:2 2.000000 1.000000
rank:2 2.000000 1.000000
After exchange A0 A1
rank:3 3.000000 2.000000
rank:3 3.000000 2.000000
rank:3 3.000000 2.000000
rank:3 3.000000 2.000000
After exchange A0 A1
rank:0 0.000000 3.000000
rank:0 0.000000 3.000000
rank:0 0.000000 3.000000
rank:0 0.000000 3.000000