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You can find detailed documentation at software.llnl.gov/benchpark <https://software.llnl.gov/benchpark>
. Benchpark can also be found on GitHub <https://github.com/llnl/benchpark>
.
Benchpark is an open collaborative repository for reproducible specifications of HPC benchmarks. Benchpark enables cross-site collaboration on benchmarking by providing a mechanism for sharing reproducible, working specifications for the following:
Spack <https://github.com/spack/spack>
_)Ramble <https://github.com/GoogleCloudPlatform/ramble>
_)Benchpark uses the following open source projects for specifying configurations:
Spack <https://github.com/spack/spack>
_ for building benchmark and dependenciesRamble <https://github.com/GoogleCloudPlatform/ramble>
_ for run configurationsBenchpark is an open source project. Questions, discussion,and contributions of new specifications as well as updates and improvements to existing specifications are welcome.
Adding a System Specification <https://software.llnl.gov/benchpark/add-a-system-config.html>
_Adding a Benchmark Specification <https://software.llnl.gov/benchpark/add-a-benchmark.html>
_Adding an Experiment Specification <https://software.llnl.gov/benchpark/add-an-experiment.html>
_We use github discussions <https://github.com/llnl/benchpark/discussions>
_ for Q&A and discussion.
To contribute to Benchpark, please open a pull request <https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/proposing-changes-to-your-work-with-pull-requests/about-pull-requests>
to the develop
branch. Your PR must pass Benchpark's unit tests, and must be PEP 8 <https://peps.python.org/pep-0008/>
compliant.
Many thanks to Benchpark's contributors <https://github.com/llnl/benchpark/graphs/contributors>
_.
Benchpark was created by Olga Pearce, Alec Scott, Greg Becker, Riyaz Haque, and Nathan Hanford.
To cite Benchpark, please use the following citation:
Olga Pearce, Alec Scott, Gregory Becker, Riyaz Haque, Nathan Hanford, Stephanie Brink,
Doug Jacobsen, Heidi Poxon, Jens Domke, and Todd Gamblin. 2023.
Towards Collaborative Continuous Benchmarking for HPC.
In Workshops of The International Conference on High Performance Computing,
Network, Storage, and Analysis (SC-W 2023), November 12–17, 2023, Denver, CO, USA.
ACM, New York, NY, USA, 9 pages.
doi.org/10.1145/3624062.3624135 <https://doi.org/10.1145/3624062.3624135>
_.
Benchpark is released under the Apache 2.0 w/ LLVM Exception license. For more details see
the LICENSE <https://github.com/LLNL/benchpark/blob/develop/LICENSE>
_ file.
LLNL-CODE-850629