标签：for ber sse source ndt involve processor reduce ring
[root@localhost mpi]# mpicc -c base.c
[root@localhost mpi]# mpicc -o base base.o
[root@localhost mpi]# mpirun -np 4 ./base
mpicc cos.c -o cos -lm
一.运行实例
1.hello world
#include <stdio.h>
#include "mpi.h"
int main(int argc, char**argv){
MPI_Init(&argc, &argv);
printf("Hello world.\n");
MPI_Finalize();
return 0;
}
2.每个进程输出自己是第几个进程
#include <stdio.h>
#include "mpi.h"
int main(int argc, char **argv){
MPI_Comm comm = MPI_COMM_WORLD;
int size, rank;
MPI_Init(&argc, &argv);
MPI_Comm_size(comm, &size);
MPI_Comm_rank(comm, &rank);
printf("This is process %d of %d processes.\n", rank, size);
MPI_Finalize();
return 0;
}
3.点对点。0号进程给1号进程发消息，1号进程接收消息
#include<stdio.h>
#include<mpi.h>
#include<string.h>
int main(int argc, char **argv){
MPI_Comm comm = MPI_COMM_WORLD;
MPI_Status status; int size, rank; char str[100];
MPI_Init(&argc, &argv);
MPI_Comm_size(comm, &size); MPI_Comm_rank(comm, &rank);
if (rank == 0) {
strcpy(str, "hello world");
printf("Process 0 send 1 to process %s.\n", str);
MPI_Send(str, strlen(str) + 1, MPI_CHAR, 1, 99, comm);
}
else if (rank == 1) {
MPI_Recv(str, 100, MPI_CHAR, 0, 99, comm, &status);
printf("Process 1 receives messages %s.\n", str);
}
MPI_Finalize();
return 0;
}
4.点对点。进程之间互相接收和发送消息
#include<stdio.h>
#include<mpi.h>
#include<string.h>
int main(int argc, char **argv){
const int limit = 10;
int rank, count = 0;
MPI_Status status;
MPI_Init(&argc, &argv);
MPI_Comm_rank(MPI_COMM_WORLD, &rank);
while (count < limit){
if (rank == 0){
count++;
MPI_Send(&count, 1, MPI_INT, 1, 10, MPI_COMM_WORLD);
printf("0 sent %d to 1\n", count);
MPI_Recv(&count, 1, MPI_INT, 1, 20, MPI_COMM_WORLD, &status);
printf("0 received %d from 1\n", count);
}
else {
MPI_Recv(&count, 1, MPI_INT, 0, 10, MPI_COMM_WORLD, &status);
printf("1 received %d from 0\n", count);
count++;
MPI_Send(&count, 1, MPI_INT, 0, 20, MPI_COMM_WORLD);
printf("1 sent %d to 0\n", count);
}
}
MPI_Finalize();
}
5.点对点。进程之间循环发送一个数，0->1->2->0（假设开启了两个进程）
#include<stdio.h>
#include<mpi.h>
#include<string.h>
int main(int argc, char** argv){
int rank, size, token, source, dest;
MPI_Init(&argc, &argv);
MPI_Comm_size(MPI_COMM_WORLD, &size);
MPI_Comm_rank(MPI_COMM_WORLD, &rank);
source = rank == 0 ? size -1 : rank - 1;
dest = (rank + 1) % size;
token = 100;
if (rank == 0){
MPI_Ssend(&token, 1, MPI_INT, dest, 1, MPI_COMM_WORLD);
printf("Process %d sends token to %d.\n", rank, dest);
MPI_Recv(&token, 1, MPI_INT, source, 1, MPI_COMM_WORLD, MPI_STATUS_IGNORE);
printf("Process %d receives token from %d.\n", rank, source);
}
else {
MPI_Recv(&token, 1, MPI_INT, source, 1, MPI_COMM_WORLD, MPI_STATUS_IGNORE);
printf("Process %d receives token from %d.\n", rank, source);
MPI_Ssend(&token, 1, MPI_INT, dest, 1, MPI_COMM_WORLD);
printf("Process %d sends token to %d.\n", rank, dest);
}
MPI_Finalize();
return 0;
}
6.给0号进程赋值。然后把0号进程的值广播出去。每个进程接收到的值和0号进程一样
#include<stdio.h>
#include<mpi.h>
#include<string.h>
int main(int argc, char** argv){
int arr[3], i, rank;
MPI_Init(&argc, &argv);
MPI_Comm_rank(MPI_COMM_WORLD, &rank);
if (rank == 0){
for (i = 0; i < 3; i++)
arr[i] = i + 1;
}
MPI_Bcast(arr, 3, MPI_INT, 0, MPI_COMM_WORLD);
printf("Process %d receives:", rank);
for (i = 0; i < 3; i++)
printf("%d ", arr[i]);
putchar(‘\n‘);
MPI_Finalize();
return 0;
}
7.0号进程收集其他所有进程的值
#include<stdio.h>
#include<mpi.h>
#include<stdlib.h>
int main(int argc, char **argv){
int rank, size, sbuf[3], *rbuf, i;
MPI_Init(&argc, &argv);
MPI_Comm_size(MPI_COMM_WORLD, &size);
MPI_Comm_rank(MPI_COMM_WORLD, &rank);
for (i = 0; i < 3; i++)
sbuf[i] = rank * 10 + i;
if (rank == 0)
rbuf = (int*)malloc(sizeof(int) * 3 * size);
MPI_Gather(sbuf, 3, MPI_INT, rbuf, 3, MPI_INT, 0, MPI_COMM_WORLD);
if (rank == 0){
printf("Process 0 receives:");
for (i = 0; i < size * 3; i++)
printf("%d ", rbuf[i]);
putchar(‘\n‘);
}
MPI_Finalize();
return 0;
}
8.把0号进程的值发给所有进程，每个进程得到的值不一样
#include<stdio.h>
#include<mpi.h>
#include<stdlib.h>
int main(int argc, char** argv){
int rank, size, *sbuf, rbuf[3], i;
MPI_Init(&argc, &argv);
MPI_Comm_size(MPI_COMM_WORLD, &size);
MPI_Comm_rank(MPI_COMM_WORLD, &rank);
if (rank == 0){
sbuf = (int *) malloc(sizeof(int) * 3 * size);
for (i = 0; i < size * 3; i++)
sbuf[i] = i + 1;
}
MPI_Scatter(sbuf, 3, MPI_INT, rbuf, 3, MPI_INT, 0, MPI_COMM_WORLD);
printf("Process %d receives: ", rank);
for (i = 0; i < 3; i++)
printf("%d ", rbuf[i]);
putchar(‘\n‘);
MPI_Finalize();
return 0;
}
9.与gather不同，所有进程都收集到其他进程的消息
#include<stdio.h>
#include<mpi.h>
#include<stdlib.h>
int main(int argc, char **argv){
int rank, size, sbuf[3], *rbuf, i;
MPI_Init(&argc, &argv);
MPI_Comm_size(MPI_COMM_WORLD, &size);
MPI_Comm_rank(MPI_COMM_WORLD, &rank);
for (i = 0; i < 3; i++)
sbuf[i] = rank * 10 + i;
rbuf = (int*)malloc(sizeof(int) * 3 * size);
MPI_Allgather(sbuf, 3, MPI_INT, rbuf, 3, MPI_INT, MPI_COMM_WORLD);
printf("Process %d receives:", rank);
for (i = 0; i < size * 3; i++)
printf("%d ", rbuf[i]);
putchar(‘\n‘);
free(rbuf);
MPI_Finalize();
return 0;
}
10.有三个任务，把
task1 task2 task3
0 1 2
3 4 5
6 7 8
9 10 11
转换成：
rank0 rank1 rank2 rank3
0 3 6 9
1 4 7 10
2 5 8 11
#include<stdio.h>
#include<mpi.h>
#include<stdlib.h>
int main(int argc, char** argv){
int rank, size, *sbuf, *rbuf, i;
MPI_Init(&argc, &argv);
MPI_Comm_size(MPI_COMM_WORLD, &size);
MPI_Comm_rank(MPI_COMM_WORLD, &rank);
sbuf = (int*)malloc(size * 3 * sizeof(int));
rbuf = (int*)malloc(size * 3 * sizeof(int));
for (i = 0; i < size * 3; i++)
sbuf[i] = rank * 10 + i;
printf("Before exchange, process %d has ", rank);
for (i = 0; i < size * 3; i++)
printf("%d ", sbuf[i]);
putchar(‘\n‘);
MPI_Alltoall(sbuf, 3, MPI_INT, rbuf, 3, MPI_INT, MPI_COMM_WORLD);
printf("After exchange, process %d has ", rank);
for (i = 0; i < size * 3; i++)
printf("%d ", rbuf[i]);
putchar(‘\n‘);
MPI_Finalize();
free(sbuf);
free(rbuf);
return 0;
}
11.对每个任务（一列）求和
#include<stdio.h>
#include<mpi.h>
#include<stdlib.h>
int main(int argc, char** argv) {
int size, rank, sbuf[3], rbuf[3], i;
MPI_Init(&argc, &argv);
MPI_Comm_rank(MPI_COMM_WORLD, &rank);
MPI_Comm_size(MPI_COMM_WORLD, &size);
for (i = 0; i < 3; i++) sbuf[i] = rank * 10 + i;
printf("Process %d has: ", rank);
for (i = 0; i < 3; i++) printf("%d ", sbuf[i]);
putchar(‘\n‘);
MPI_Reduce(sbuf, rbuf, 3, MPI_INT, MPI_SUM, 0,MPI_COMM_WORLD);
if (rank == 0) {
printf("Total sum = ");
for (i = 0; i < 3; i++) printf("%d ",rbuf[i]);
putchar(‘\n‘);
}
MPI_Finalize();
}
12.对每个任务（一列）求最大值，并求出其所在进程编号，0号进程输出结果
#include<stdio.h>
#include<mpi.h>
#include<stdlib.h>
typedef struct{ int val; int rank;}DATATYPE;
int main(int argc, char** argv){
int size, rank, i; DATATYPE sbuf[3], rbuf[3];
MPI_Init(&argc, &argv);
MPI_Comm_size(MPI_COMM_WORLD, &size);
MPI_Comm_rank(MPI_COMM_WORLD, &rank);
srand(time(NULL) + rank);
printf("Process %d has ", rank);
for (i = 0; i < 3; i++){
sbuf[i].val = rand() % 100;
sbuf[i].rank = rank;
printf("%d ", sbuf[i].val);
}
putchar(‘\n‘);
MPI_Reduce(sbuf, rbuf, 3, MPI_2INT, MPI_MAXLOC, 0, MPI_COMM_WORLD);
if (rank == 0){
printf("max value and location are:\n");
for (i = 0; i < 3; i++) printf("value = %d, location = %d\n", rbuf
[i].val, rbuf[i].rank);
}
MPI_Finalize();
return 0;
}
13.对每一列求最大值，每个进程都得到结果并输出
#include<stdio.h>
#include<mpi.h>
#include<stdlib.h>
int main(int argc, char** argv) {
int size, rank, sbuf[3], rbuf[3], i;
MPI_Init(&argc, &argv);
MPI_Comm_rank(MPI_COMM_WORLD, &rank);
MPI_Comm_size(MPI_COMM_WORLD, &size);
for (i = 0; i < 3; i++) sbuf[i] = rank * 10 + i;
printf("Process %d has: ", rank);
for (i = 0; i < 3; i++) printf("%d ", sbuf[i]);
putchar(‘\n‘);
MPI_Allreduce(sbuf, rbuf, 3, MPI_INT, MPI_SUM, MPI_COMM_WORLD);
printf("Total sum of process %d = ", rank);
for (i = 0; i < 3; i++) printf("%d ",rbuf[i]);
putchar(‘\n‘);
MPI_Finalize();
}
14.每遍历一个进程对其与前面的进程的每一列求和
#include<stdio.h>
#include<mpi.h>
#include<stdlib.h>
int main(int argc, char** argv) {
int size, rank, sbuf[3], rbuf[3], i;
MPI_Init(&argc, &argv);
MPI_Comm_rank(MPI_COMM_WORLD, &rank);
MPI_Comm_size(MPI_COMM_WORLD, &size);
for (i = 0; i < 3; i++) sbuf[i] = rank * 10 + i;
printf("Process %d has: ", rank);
for (i = 0; i < 3; i++) printf("%d ", sbuf[i]); putchar(‘\n‘);
MPI_Scan(sbuf, rbuf, 3, MPI_INT, MPI_SUM, MPI_COMM_WORLD);
printf("Process %d has results ", rank);
for (i = 0; i < 3; i++) printf("%d ", rbuf[i]);
putchar(‘\n‘);
MPI_Finalize();
}
二.函数
1.send
MPI_Send(
void* data,// starting address of the data to be sent
int count,//number of elements to be sent (not bytes)
MPI_Datatype datatype,//MPI datatype of each element
int destination, //rank of destination process
int tag,//message identifier (set by user)
MPI_Comm comm) //MPI communicator of processors involved
2.recv
MPI_Recv(
void* data, //starting address of buffer to store message
int count, //number of elements to be received (not bytes)
MPI_Datatype datatype, //MPI datatype of each element
int source,// rank of source process
int tag,//message identifier (set by user)
MPI_Comm comm, //MPI communicator of processors involved
MPI_Status* status) //structure of information about the message
3.Broadcast把一个进程的内容发送给所有进程广播
int MPI_Bcast(
void* buffer,//starting address of buffer
int count, //number of entries in buffer
MPI_Datatype datatype,//data type of buffer
int root, //rank of broadcast root
MPI_Comm comm)//communicator
4.gather0号进程收集其他进程的消息
int MPI_Gather(
const void* sendbuf, //starting address of send buffer
int sendcount, //number of elements in send buffer
MPI_Datatype sendtype,//data type of send buffer elements
void* recvbuf, //address of receive buffer (significant only at root)
int recvcount,//number of elements for any single receive (significant only at root)
MPI_Datatype recvtype,//data type of recv buffer elements(significant only at root)
int root,//rank of receiving process
MPI_Comm comm)//communicator
5.scatter 把0号进程的值发给所有进程，每个进程得到的值不一样
int MPI_Scatter (
void * sendbuf , // pointer to send buffer
int sendcount , // items to send per process
MPI_Datatype sendtype , // type of send buffer data
void * recvbuf , // pointer to receive buffer
int recvcount , // number of items to receive
MPI_Datatype recvtype , // type of receive buffer data
int root , // rank of sending process
MPI_Comm comm ) // MPI communicator to use
6.allgather与gather不同，allgather不只0号进程收集其他进程的消息，所有进程都会收集到其他进程的消息
int MPI_Allgather (
void * sendbuf , // pointer to send buffer
int sendcount , // number of items to send
MPI_Datatype sendtype , // type of send buffer data
void * recvbuf , // pointer to receive buffer
int recvcount , // items to receive per process
MPI_Datatype recvtype , // type of receive buffer data
MPI_Comm comm ) // MPI communicator to use
7.alltoall
int MPI_Alltoall(
const void *sendbuf,
int sendcount, //number of elements to send to each process
MPI_Datatype sendtype, //data type of send buffer elements
void *recvbuf, //address of receive buffer
int recvcount, //number of elements received from any process
MPI_Datatype recvtype, //data type of receive buffer elements
MPI_Comm comm) //communicator
8.reduce
MPI_Reduce(
void* send_data, //address of send buffer
void* recv_data, //address of receive buffer
int count,//number of elements in send buffer
MPI_Datatype datatype, //data type of elements of send buffer
MPI_Op op, //reduce operation MPI的操作函数PPT87页
int root, rank of root process
MPI_Comm communicator) //communicator
9.Allreduce
MPI_Allreduce(
void* send_data, //address of send buffer
void* recv_data,//address of receive buffer
int count, //number of elements in send buffer
MPI_Datatype datatype, //data type of elements of send buffer
MPI_Op op, //reduce operation
MPI_Comm communicator) //communicator
10.Scan
int MPI_Scan(
const void* sendbuf,//address of send buffer
void* recvbuf, //address of receive buffer
int count, //number of elements in send buffer
MPI_Datatype datatype, //data type of elements of send buffer
MPI_Op op,//reduce operation
MPI_Comm comm) //communicator
标签：for ber sse source ndt involve processor reduce ring
原文地址：http://www.cnblogs.com/ximiaomiao/p/7003449.html
