Sending and receiving 2D array over MPI

Ashmohan picture Ashmohan · May 5, 2011 · Viewed 41.2k times · Source

The issue I am trying to resolve is the following:

The C++ serial code I have computes across a large 2D matrix. To optimize this process, I wish to split this large 2D matrix and run on 4 nodes (say) using MPI. The only communication that occurs between nodes is the sharing of edge values at the end of each time step. Every node shares the edge array data, A[i][j], with its neighbor.

Based on reading about MPI, I have the following scheme to be implemented.

if (myrank == 0)
{
 for (i= 0 to x)
 for (y= 0 to y)
 {
  C++ CODE IMPLEMENTATION 
  .... 
  MPI_SEND(A[x][0], A[x][1], A[x][2], Destination= 1.....)
  MPI_RECEIVE(B[0][0], B[0][1]......Sender = 1.....)
  MPI_BARRIER
}

if (myrank == 1)
{
for (i = x+1 to xx)
for (y = 0 to y)
{
 C++ CODE IMPLEMENTATION
 ....
 MPI_SEND(B[x][0], B[x][1], B[x][2], Destination= 0.....)
 MPI_RECEIVE(A[0][0], A[0][1]......Sender = 1.....)
 MPI BARRIER
}

I wanted to know if my approach is correct and also would appreciate any guidance on other MPI functions too look into for implementation.

Thanks, Ashwin.

Answer

Jonathan Dursi picture Jonathan Dursi · May 5, 2011

Just to amplify Joel's points a bit:

This goes much easier if you allocate your arrays so that they're contiguous (something C's "multidimensional arrays" don't give you automatically:)

int **alloc_2d_int(int rows, int cols) {
    int *data = (int *)malloc(rows*cols*sizeof(int));
    int **array= (int **)malloc(rows*sizeof(int*));
    for (int i=0; i<rows; i++)
        array[i] = &(data[cols*i]);

    return array;
}

/*...*/
int **A;
/*...*/
A = alloc_2d_init(N,M);

Then, you can do sends and recieves of the entire NxM array with

MPI_Send(&(A[0][0]), N*M, MPI_INT, destination, tag, MPI_COMM_WORLD);

and when you're done, free the memory with

free(A[0]);
free(A);

Also, MPI_Recv is a blocking recieve, and MPI_Send can be a blocking send. One thing that means, as per Joel's point, is that you definately don't need Barriers. Further, it means that if you have a send/recieve pattern as above, you can get yourself into a deadlock situation -- everyone is sending, no one is recieving. Safer is:

if (myrank == 0) {
   MPI_Send(&(A[0][0]), N*M, MPI_INT, 1, tagA, MPI_COMM_WORLD);
   MPI_Recv(&(B[0][0]), N*M, MPI_INT, 1, tagB, MPI_COMM_WORLD, &status);
} else if (myrank == 1) {
   MPI_Recv(&(A[0][0]), N*M, MPI_INT, 0, tagA, MPI_COMM_WORLD, &status);
   MPI_Send(&(B[0][0]), N*M, MPI_INT, 0, tagB, MPI_COMM_WORLD);
}

Another, more general, approach is to use MPI_Sendrecv:

int *sendptr, *recvptr;
int neigh = MPI_PROC_NULL;

if (myrank == 0) {
   sendptr = &(A[0][0]);
   recvptr = &(B[0][0]);
   neigh = 1;
} else {
   sendptr = &(B[0][0]);
   recvptr = &(A[0][0]);
   neigh = 0;
}
MPI_Sendrecv(sendptr, N*M, MPI_INT, neigh, tagA, recvptr, N*M, MPI_INT, neigh, tagB, MPI_COMM_WORLD, &status);

or nonblocking sends and/or recieves.