Applications/OpenMPI
From HPC
Contents
Application Details
- Description: The Open MPI Project is an open source Message Passing Interface implementation that is developed and maintained by a consortium of academic, research, and industry partners. Open MPI is therefore able to combine the expertise, technologies, and resources from all across the High Performance Computing community in order to build the best MPI library available.
- Version: 1.8.8 (gcc), 1.10.5 (gcc and intel), 2.0.2 (gcc and intel)
- Modules: openmpi/1.10.5/gcc-5.2.0, openmpi/1.10.5/gcc-6.3.0, openmpi/1.10.5/intel-2017, openmpi/2.0.2/gcc-5.2.0, openmpi/2.0.2/gcc-6.3.0, openmpi/gcc/1.10.2, openmpi/gcc/1.10.5, openmpi/intel/1.10.2, openmpi/intel/1.8.8, and openmpi/intel/2.0.1
- Licence: Software in the Public Interest non-profit organization.
Usage Examples
Message Passing Interface (MPI) is a standardized and portable message-passing system designed by a group of researchers from academia and industry to function on a wide variety of parallel computing architectures. The standard defines the syntax and semantics of a core of library routines useful to a wide range of users writing portable message-passing programs in C, C++, and Fortran. There are several well-tested and efficient implementations of MPI, many of which are open-source or in the public domain. These fostered the development of a parallel software industry, and encouraged development of portable and scalable large-scale parallel applications.
Interactive Mode
This example runs on a reserved node (eg c001)
[username@c001 ~]$ module openmpi/gcc/1.10.5 [username@c001 ~]$ mpirun -np 20 mpiTEST
SLURM job
#!/bin/bash #SBATCH -J MPI-testXX #SBATCH -N 10 #SBATCH --ntasks-per-node 28 #SBATCH -D /home/pysdlb/CODE_SAMPLES/OPENMPI #SBATCH -o %N.%j.%a.out #SBATCH -e %N.%j.%a.err #SBATCH -p compute #SBATCH --exclusive echo $SLURM_JOB_NODELIST module purge module load gcc/4.9.3 module load openmpi/gcc/1.10.2 export I_MPI_DEBUG=5 export I_MPI_FABRICS=shm:tmi export I_MPI_FALLBACK=no mpirun -mca pml cm -mca mtl psm2 /home/pysdlb/CODE_SAMPLES/OPENMPI/scatteravg 100