Difference between revisions of "Applications/OpenMPI"
From HPC
m (→Further Information) |
m |
||
| (One intermediate revision by the same user not shown) | |||
| Line 3: | Line 3: | ||
==Application Details== | ==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. | + | * 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), openmpi/3.0.0 (gcc and intel) | * Version: 1.8.8 (gcc), 1.10.5 (gcc and intel), 2.0.2 (gcc and intel), openmpi/3.0.0 (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, openmpi/intel/2.0.1, openmpi/3.0.0/gcc-5.2.0, openmpi/3.0.0/gcc-6.3.0 and openmpi/3.0.0/gcc-8.2.0 | * 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, openmpi/intel/2.0.1, openmpi/3.0.0/gcc-5.2.0, openmpi/3.0.0/gcc-6.3.0 and openmpi/3.0.0/gcc-8.2.0 | ||
| Line 10: | Line 10: | ||
==Usage Examples== | ==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. | + | 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 the development of portable and scalable large-scale parallel applications. |
===Interactive Mode=== | ===Interactive Mode=== | ||
| Line 29: | Line 29: | ||
===Batch Job=== | ===Batch Job=== | ||
| − | This runs on the scheduler [[ | + | This runs on the scheduler [[Quickstart/Slurm|SLURM]] |
| − | <pre style=" | + | <pre style="font-family: monospace, sans-serif;"> |
#!/bin/bash | #!/bin/bash | ||
| Line 57: | Line 57: | ||
</pre> | </pre> | ||
| − | And passing it to [[ | + | And passing it to [[Quickstart/Slurm|SLURM]]: |
<pre style="background-color: black; color: white; border: 2px solid black; font-family: monospace, sans-serif;"> | <pre style="background-color: black; color: white; border: 2px solid black; font-family: monospace, sans-serif;"> | ||
Latest revision as of 10:33, 9 December 2022
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), openmpi/3.0.0 (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, openmpi/intel/2.0.1, openmpi/3.0.0/gcc-5.2.0, openmpi/3.0.0/gcc-6.3.0 and openmpi/3.0.0/gcc-8.2.0
- 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 the development of portable and scalable large-scale parallel applications.
Interactive Mode
This example runs on an interactive session.
[username@login01 ~]$ interactive salloc: Granted job allocation 629854 Job ID 629854 connecting to c001, please wait... [username@c001 ~]$ module add openmpi/gcc/8.2.0 [username@c001 ~]$ mpirun -np 20 mpiTEST
Batch Job
This runs on the scheduler SLURM
#!/bin/bash #SBATCH -J MPI-testXX #SBATCH -N 10 #SBATCH --ntasks-per-node 28 #SBATCH -D /home/user1/CODE_SAMPLES/OPENMPI #SBATCH -o %N.%j.%a.out #SBATCH -e %N.%j.%a.err #SBATCH -p compute #SBATCH --exclusive echo $SLURM_JOB_NODELIST module purge module add gcc/8.2.0 module add openmpi/gcc/8.2.0 export I_MPI_DEBUG=5 export I_MPI_FABRICS=shm:tmi export I_MPI_FALLBACK=no mpirun -mca pml cm -mca mtl psm2 /home/user1/CODE_SAMPLES/OPENMPI/scatteravg 100
And passing it to SLURM:
[username@login01 ~]$ sbatch mpidemo.job Submitted batch job 1889552