SEISMIC_CPML uses MPI to decompose the problem space across the Z dimension. This will allow us to utilize more than one GPU, but it also adds extra data movement as the program needs to pass halos (regions of the domain that overlap across processes). We could use OpenMP threads as well...
Hence hybrid OpenMP-MPI approach is more desirable to choose because of its cost effectiveness and massive computational speed.Anvitha
Solved: Hi all, I am trying to call MPI from within OpenMP regions, but I cannot have it working properly; my program compiles OK using mpiicc
PDE solver focused on Navier-Stokes (and related) equations with arbitrary boundary conditions, employing Fourier (FC-Gram) expansions. Parallelized using MPI-OpenMP-CUDA. - specter-cfd/SPECTER
My current conclusion is that the threads somehow are not returning allocated memory once the threaded code section is left?! Is that possible? Any ideas? Thanks compiler: intel clang++ version 2022.2.1 OS: Linux, kernel version 6.1.6 code: C++-20 libc: 2.36 Translate 0 Kudos ...
OMP_NUM_THREADS=1 mpirun -np 1 ./clover_leaf If you log in with another window, you can runnvidia-smi -lto see the GPU working. You must increase the run time in theclover.infile so that it doesn’t complete too quickly, or you may not see the GPU process running. ...
We could use OpenMP threads as well, but doing so would add more programming effort and complexity to our example. As a result, we chose to remove the OpenMP code from the GPU version. We may revisit that decision in a future article. As an aside, with the MPI portion of the code ...
We describe a hybrid MPI/OpenMP approach to exploit two levels of parallelisms in software and hardware to reduce calibration time on multi-core computers. HydroGeoChem 5.0 (HGC5) is parallelized using OpenMP for direct solutions for a reactive transport model application, and a field-scale ...
The MPI implementation on the hpcLine exhibited a communication overhead, which made it perform below the results of the MPI implementations on the origin, which has shared memory, and on the SR8000, with shared memory for 8 processors on a node....
We could use OpenMP threads as well, but doing so would add more programming effort and complexity to our example. As a result, we chose to remove the OpenMP code from the GPU version. We may revisit that decision in a future article. As an aside, with the MPI portion of the code ...