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HyperShell v2: Distributed Task Execution for HPC

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HyperShell is an elegant, cross-platform, high-performance computing utility for processing shell commands over a distributed, asynchronous queue. It is a highly scalable workflow automation tool for many-task scenarios.

Several tools offer similar functionality but not all together in a single tool with the ergonomics we provide. Novel design elements include but are not limited to (1) cross-platform, (2) client-server design, (3) staggered launch for large scales, (4) persistent hosting of the server, and optionally (5) a database in-the-loop for persisting task metadata and automated retries.

HyperShell is pure Python and is tested on Linux, macOS, and Windows 10 in Python 3.9+ environments. The server and client don't even need to use the same platform simultaneously.

Documentation

Documentation is available at hyper-shell.readthedocs.io. For basic usage information on the command line use: hyper-shell --help. For a more comprehensive usage guide on the command line you can view the manual page with man hyper-shell.

Contributions

Contributions are welcome. If you find bugs or have questions, open an Issue here. We've added a Code of Conduct recently, adapted from the Contributor Covenant, version 2.0.

Citation

If HyperShell has helped in your research please consider citing us.

@inproceedings{lentner_2022,
    author = {Lentner, Geoffrey and Gorenstein, Lev},
    title = {HyperShell v2: Distributed Task Execution for HPC},
    year = {2022},
    isbn = {9781450391610},
    publisher = {Association for Computing Machinery},
    url = {https://doi.org/10.1145/3491418.3535138},
    doi = {10.1145/3491418.3535138},
    booktitle = {Practice and Experience in Advanced Research Computing},
    articleno = {80},
    numpages = {3},
    series = {PEARC '22}
}