I have an MPI program in which worker ranks (rank != 0) make a bunch of MPI_Send calls, and the master rank (rank == 0) receives all these messages. However, I run into a Fatal error in MPI_Recv - MPI_Recv(...) failed, Out of memory.
Here is the code that I am compiling in Visual Studio 2010. I run the executable like so:
mpiexec -n 3 MPIHelloWorld.exe
int main(int argc, char* argv[]){
int numprocs, rank, namelen, num_threads, thread_id;
char processor_name[MPI_MAX_PROCESSOR_NAME];
MPI_Init(&argc, &argv);
MPI_Comm_size(MPI_COMM_WORLD, &numprocs);
MPI_Comm_rank(MPI_COMM_WORLD, &rank);
MPI_Get_processor_name(processor_name, &namelen);
if(rank == 0){
for(int k=1; k<numprocs; k++){
for(int i=0; i<1000000; i++){
double x;
MPI_Recv(&x, 1, MPI_DOUBLE, k, i, MPI_COMM_WORLD, MPI_STATUS_IGNORE);
}
}
}
else{
for(int i=0; i<1000000; i++){
double x = 5;
MPI_Send(&x, 1, MPI_DOUBLE, 0, i, MPI_COMM_WORLD);
}
}
}
If I run with only 2 processes, the program does not crash. So it seems like the problem is when there is an accumulation of the MPI_Send calls from a third rank (aka a second worker node).
If I decrease the number of iterations to 100,000 then I can run with 3 processes without crashing. However, the amount of data being sent with one million iterations is ~ 8 MB (8 bytes for double * 1000000 iterations), so I don't think the "Out of Memory" is referring to any physical memory like RAM.
Any insight is appreciated, thanks!