By the way, the workstation has a total of 36 cores / 72 threads, so using mpirun -np 20 is possible (and should be equivalent) on both platforms.
Thanks, cap79 > On Feb 1, 2017, at 2:52 PM, Andy Witzig <cap1...@icloud.com> wrote: > > Hi all, > > I’m testing my application on a SMP workstation (dual Intel Xeon E5-2697 V4 > 2.3 GHz Intel Broadwell (boost 2.8-3.1GHz) processors 128GB RAM) and am > seeing a 4x performance drop compared to a cluster system with 2.6GHz Intel > Haswell with 20 cores / node and 128GB RAM/node. Both applications have been > compiled using OpenMPI 1.6.4. I have tried running: > > mpirun -np 20 $EXECUTABLE $INPUT_FILE > mpirun -np 20 --mca btl self,sm $EXECUTABLE $INPUT_FILE > > and others, but cannot achieve the same performance on the workstation as is > seen on the cluster. The workstation outperforms on other non-MPI but > multi-threaded applications, so I don’t think it’s a hardware issue. > > Any help you can provide would be appreciated. > > Thanks, > cap79 > _______________________________________________ > users mailing list > users@lists.open-mpi.org > https://rfd.newmexicoconsortium.org/mailman/listinfo/users _______________________________________________ users mailing list users@lists.open-mpi.org https://rfd.newmexicoconsortium.org/mailman/listinfo/users
