[OMPI users] Printing in a fortran MPI/OpenMP environment
Hi, I am running a fortran code (Perturbo) compiled in hybrid openmp/openmpi. The code runs on 2 nodes (128 processors) with 32 MPI processes and 4 threads/MPI process. I am attempting to verify that a variable involved in the calculations in all the MPI processes and threads has the same value. So I would like to print this variable with the thread # for all the 32 MPI processes. Would a simple print statement do the job or would such a print statement only print the information for the processes on the master node and not both nodes? Is it possible to print this variable for all 64 threads on node 1 and all 64 threads on node 2 separately? Thank you, Vahid
Re: [OMPI users] Printing in a fortran MPI/OpenMP environment
Stdout from every process is gathered by mpirun and shown on in stdout of the shell where mpirun started. There's a command line option for mpirun to label lines by the MPI task, "--tag-output" I think. There's some OpenMP function you can use to determine the current OpenMP thread number which you could add to the print statement.
Re: [OMPI users] Printing in a fortran MPI/OpenMP environment
On 2/1/23 00:50, Vahid Askarpour via users wrote: > Hi, > > I am running a fortran code (Perturbo) compiled in hybrid openmp/openmpi. The > code runs on 2 nodes (128 processors) with 32 MPI processes and 4 threads/MPI > process. I am attempting to verify that a variable involved in the > calculations in all the MPI processes and threads has the same value. So I > would like to print this variable with the thread # for all the 32 MPI > processes. Would a simple print statement do the job or would such a print > statement only print the information for the processes on the master node and > not both nodes? Is it possible to print this variable for all 64 threads on > node 1 and all 64 threads on node 2 separately? > > Thank you, > Vahid Print statement should work, though maybe messy. You might look at collective operations like min/max or sum. Perhaps do a local check first using OpenMP, then a collective operation using MPI.
