Mpi from one communicator to another

I have an application that is parallelized with MPI and divided into several different tasks. Each processor is assigned only one task, and a group of processors that are assigned the same task is assigned their own communicator. Periodically, tasks must be synchronized. Currently, synchronization is performed through MPI_COMM_WORLD, but it has a drawback that no collective operations can use, since it is not guaranteed that other tasks will ever reach this block of code.

As a more specific example:

task1: equation1_solver, N nodes, communicator: mpi_comm_solver1
task2: equation2_solver, M nodes, communicator: mpi_comm_solver2
task3: file IO         , 1 node , communicator: mpi_comm_io

I would like MPI_SUM to create an array on task1 and get the result in task3. Is there an effective way to do this? (my apologies if this is a stupid question, I don't have much experience creating and using custom MPI communicators)

+3
source share
2 answers

Charles is exactly right; intercommunicators allow you to talk between communicators (or, to distinguish between “normal” communicators in this context, “intra-communicators”, which does not affect me as an improvement).

. , , , () MPI_Reduce . , , , ; , , MPI_PROC_NULL root, MPI_ROOT. , ?

#include <mpi.h>
#include <stdio.h>


int main(int argc, char **argv)
{
    int commnum = 0;         /* which of the 3 comms I belong to */
    MPI_Comm   mycomm;       /* Communicator I belong to */
    MPI_Comm   intercomm;    /* inter-communicator */
    int cw_rank, cw_size;    /* size, rank in MPI_COMM_WORLD */
    int rank;                /* rank in local communicator */

    MPI_Init(&argc, &argv);
    MPI_Comm_rank(MPI_COMM_WORLD, &cw_rank);
    MPI_Comm_size(MPI_COMM_WORLD, &cw_size);

    if (cw_rank == cw_size-1)      /* last task is IO task */
        commnum = 2;
    else {
        if (cw_rank < (cw_size-1)/2)
            commnum = 0;
        else
            commnum = 1;
    }

    printf("Rank %d in comm %d\n", cw_rank, commnum);

    /* create the local communicator, mycomm */
    MPI_Comm_split(MPI_COMM_WORLD, commnum, cw_rank, &mycomm);

    const int lldr_tag = 1;
    const int intercomm_tag = 2;
    if (commnum == 0) {
        /* comm 0 needs to communicate with comm 2. */
        /* create an intercommunicator: */

        /* rank 0 in our new communicator will be the "local leader"
         *  of this commuicator for the purpose of the intercommuniator */
        int local_leader = 0;

        /* Now, since we're not part of the other communicator (and vice
         * versa) we have to refer to the "remote leader" in terms of its
         * rank in COMM_WORLD.   For us, that easy; the remote leader
         * in the IO comm is defined to be cw_size-1, because that the
         * only task in that comm.   But for them, it harder.  So we'll
         * send that task the id of our local leader. */

        /* find out which rank in COMM_WORLD is the local leader */
        MPI_Comm_rank(mycomm, &rank);

        if (rank == 0)
            MPI_Send(&cw_rank, 1, MPI_INT, cw_size-1, 1, MPI_COMM_WORLD);
        /* now create the inter-communicator */
        MPI_Intercomm_create( mycomm, local_leader,
                              MPI_COMM_WORLD, cw_size-1,
                              intercomm_tag, &intercomm);
    }
    else if (commnum == 2)
    {
        /* there only one task in this comm */
        int local_leader = 0;
        int rmt_ldr;
        MPI_Status s;
        MPI_Recv(&rmt_ldr, 1, MPI_INT, MPI_ANY_SOURCE, lldr_tag, MPI_COMM_WORLD, &s);
        MPI_Intercomm_create( mycomm, local_leader,
                              MPI_COMM_WORLD, rmt_ldr,
                              intercomm_tag, &intercomm);
    }


    /* now let play with our communicators and make sure they work */

    if (commnum == 0) {
        int max_of_ranks = 0;
        /* try it internally; */
        MPI_Reduce(&rank, &max_of_ranks, 1, MPI_INT, MPI_MAX, 0, mycomm);
        if (rank == 0) {
            printf("Within comm 0: maximum of ranks is %d\n", max_of_ranks);
            printf("Within comm 0: sum of ranks should be %d\n", max_of_ranks*(max_of_ranks+1)/2);
        }

        /* now try summing it to the other comm */
        /* the "root" parameter here is the root in the remote group */
        MPI_Reduce(&rank, &max_of_ranks, 1, MPI_INT, MPI_SUM, 0, intercomm);
    }

    if (commnum == 2) {
        int sum_of_ranks = -999;
        int rootproc;

        /* get reduction data from other comm */

        if (rank == 0)   /* am I the root of this reduce? */
            rootproc = MPI_ROOT;
        else
            rootproc = MPI_PROC_NULL;

        MPI_Reduce(&rank, &sum_of_ranks, 1, MPI_INT, MPI_SUM, rootproc, intercomm);

        if (rank == 0) 
            printf("From comm 2: sum of ranks is %d\n", sum_of_ranks);
    }

    if (commnum == 0 || commnum == 2);
            MPI_Comm_free(&intercomm);

    MPI_Finalize();
}
+4

, , , , . MPI . , , .

+4

All Articles