MPI 突然停止在多个内核上工作
MPI stopped working on multiple cores suddenly
这段代码在使用 mpi 之前运行良好
#include <mpi.h>
#include <iostream>
using namespace std;
int id, p;
int main(int argc, char* argv[])
{
MPI_Init(&argc, &argv);
MPI_Comm_rank(MPI_COMM_WORLD, &id);
MPI_Comm_size(MPI_COMM_WORLD, &p);
cout << "Processor " << id << " of " << p << endl;
cout.flush();
MPI_Barrier(MPI_COMM_WORLD);
if (id == 0) cout << "Every process has got to this point now!" << endl;
MPI_Finalize();
}
给出输出:
Processor 0 of 4
Processor 1 of 4
Processor 2 of 4
Processor 3 of 4
Every process has got to this point now!
当 运行 在 4 核上使用命令 mpiexec -n 4 ${executable filename}$
我重新启动了我的笔记本电脑(我不确定这是否是原因)并且 运行 相同的代码并在一个核心上输出:
Processor 0 of 1
Every process has got to this point now!
Processor 0 of 1
Every process has got to this point now!
Processor 0 of 1
Every process has got to this point now!
Processor 0 of 1
Every process has got to this point now!
我使用的是 Microsoft mpi,项目配置没有改变。
我真的不知道该怎么办。
我还安装了intel parallel studio,并在重启前与visual studio集成。
但我仍在使用 Visual C++ 进行编译(与正常工作时相同的配置)
简单的解决方法是卸载 intel parallel studio
这段代码在使用 mpi 之前运行良好
#include <mpi.h>
#include <iostream>
using namespace std;
int id, p;
int main(int argc, char* argv[])
{
MPI_Init(&argc, &argv);
MPI_Comm_rank(MPI_COMM_WORLD, &id);
MPI_Comm_size(MPI_COMM_WORLD, &p);
cout << "Processor " << id << " of " << p << endl;
cout.flush();
MPI_Barrier(MPI_COMM_WORLD);
if (id == 0) cout << "Every process has got to this point now!" << endl;
MPI_Finalize();
}
给出输出:
Processor 0 of 4
Processor 1 of 4
Processor 2 of 4
Processor 3 of 4
Every process has got to this point now!
当 运行 在 4 核上使用命令 mpiexec -n 4 ${executable filename}$
我重新启动了我的笔记本电脑(我不确定这是否是原因)并且 运行 相同的代码并在一个核心上输出:
Processor 0 of 1
Every process has got to this point now!
Processor 0 of 1
Every process has got to this point now!
Processor 0 of 1
Every process has got to this point now!
Processor 0 of 1
Every process has got to this point now!
我使用的是 Microsoft mpi,项目配置没有改变。 我真的不知道该怎么办。 我还安装了intel parallel studio,并在重启前与visual studio集成。 但我仍在使用 Visual C++ 进行编译(与正常工作时相同的配置)
简单的解决方法是卸载 intel parallel studio