CPU 超过时间限制:当 MPI_Sent 一个非常大的 int*

CPU time limit exceeded: When MPI_Sent a very large int*

当我想通过 MPI_Send 发送非常大的消息时遇到了一个问题:有多个处理器,我们需要传输的 int 总数是 2^25,我测试了那个大小在 1000 中,我的代码运行良好,但如果我将它设置为教授要求的大小,它会卡住很长时间,return 我得到一些这样的信息:

 2 more processes have sent help message help-mpi-btl-base.txt / btl:no-nics

Set MCA parameter "orte_base_help_aggregate" to 0 to see all help / error messages

Primary job  terminated normally, but 1 process returned
a non-zero exit code. Per user-direction, the job has been aborted.

mpiexec noticed that process rank 0 with PID 0 on node srv-p22-13 exited on signal 24 (CPU time limit exceeded).

我在每行代码之后都用了"cout",我确定它卡在了MPI_Send行之前,Si的大小超过了20,000,000。我不确定是这个原因吗?但是我搜索过 MPI_Send 的最大限制是 2^32-1...它比 2^25 大...所以我感到困惑。

这是我的代码的主要部分:

//This is send part
    for(int i=0; i<5; i++){
        if(i!=my_rank){//my_rank is from MPI_Comm_rank(MPI_COMM_WORLD, &my_rank)
            int n = A.size();//A is a vector of int
            int* Si= new int[n];//I want to convert vector to a int array
            std::copy(A.begin(),A.end(),Si);
            MPI_Send(&Si, n, Type, i, my_rank ,MPI_COMM_WORLD);//**The code stuck here and says CPU time limit exceeded
            delete[] Si;
        }
    }
    MPI_Barrier(MPI_COMM_WORLD);//I want all the processor finish sending part, then start receive and save in vector

//This is receive part
    for(int i=0; i<5; i++){
        if(i!=my_rank){
            MPI_Status status;
            MPI_Probe(i,i,MPI_COMM_WORLD,&status);
            int rn = 0;
            MPI_Get_count(&status, Type, &rn);
            int* Ri = new int[rn];
            MPI_Recv(Ri, rn, Type, i, i, MPI_COMM_WORLD, MPI_STATUS_IGNORE);
            /*Save received elements into vector A*/
            for(int i=0; i<sizeof(Ri);i++){
                inout.push_back(A);
            }

        }
    }

非常感谢@jacob 和我分享了一个类似的问题link,看完之后,我知道我犯了同样的错误:处理器不能在同一时间全部发送,所以我使用MPI_Sendrecv 参考这个问题:MPI hangs on MPI_Send for large messages