aws-mpi-benchmark | MPI Benchmark on AWS HPC cluster

 by   JiaweiZhuang Jupyter Notebook Version: v0.3.1 License: MIT

kandi X-RAY | aws-mpi-benchmark Summary

kandi X-RAY | aws-mpi-benchmark Summary

aws-mpi-benchmark is a Jupyter Notebook library. aws-mpi-benchmark has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

MPI Benchmark on AWS HPC cluster
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              aws-mpi-benchmark has a low active ecosystem.
              It has 9 star(s) with 0 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 2 open issues and 0 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of aws-mpi-benchmark is v0.3.1

            kandi-Quality Quality

              aws-mpi-benchmark has no bugs reported.

            kandi-Security Security

              aws-mpi-benchmark has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              aws-mpi-benchmark is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              aws-mpi-benchmark releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.

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            aws-mpi-benchmark Key Features

            No Key Features are available at this moment for aws-mpi-benchmark.

            aws-mpi-benchmark Examples and Code Snippets

            No Code Snippets are available at this moment for aws-mpi-benchmark.

            Community Discussions

            No Community Discussions are available at this moment for aws-mpi-benchmark.Refer to stack overflow page for discussions.

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install aws-mpi-benchmark

            For most MPIs except Intel-MPI, we use Spack environment to simplify the installation and environment management. spack env activate discovers the MPI executable path, functionally similar to module load. Following sections install the environments openmpi3, openmpi4, mpich3. They will be shown in spack env list. Add pre-installed Slurm to Spack by copying scripts/spack_config/packages.yaml to ~/.spack/packages.yaml. The above installation uses TCP sockets. Libfabric & EFA can be enabled via spack install openmpi+pmi schedulers=slurm fabrics=libfabric ^libfabric fabrics=efa, but OpenMPI + EFA is currently quite slow for collectives due to this issue. Update: The problem is solved by libfabric 1.9 https://github.com/aws/aws-parallelcluster/issues/1143#issuecomment-561919602, which is added to Spack by https://github.com/spack/spack/pull/13964. We use the pre-installed Intel-MPI on AWS ParallelCluster, to avoid the hassle of configuring Intel-MPI with libfabric and EFA.
            Launch by srun. OpenMPI needs to be compiled with --with-pmi (already handled by Spack).
            Launch by orterun inside slurm interactive session or sbatch script. Still need to compile with --with-slurm.
            Launch by srun. Need to set export I_MPI_PMI_LIBRARY=/opt/slurm/lib/libpmi.so
            Launch by mpirun inside slurm interactive session or sbatch script. Should unset I_MPI_PMI_LIBRARY
            https://slurm.schedmd.com/mpi_guide.html
            https://www.open-mpi.org/faq/?category=slurm
            https://software.intel.com/en-us/mpi-developer-guide-linux-job-schedulers-support

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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