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crew: A Distributed Worker Launcher Framework
In computationally demanding analysis projects, statisticians and data scientists asynchronously deploy long-running tasks to distributed systems, ranging from traditional clusters to cloud services. The 'NNG'-powered 'mirai' R package by Gao (2023) <doi:10.5281/zenodo.7912722> is a sleek and sophisticated scheduler that efficiently processes these intense workloads. The 'crew' package extends 'mirai' with a unifying interface for third-party worker launchers. Inspiration also comes from packages. 'future' by Bengtsson (2021) <doi:10.32614/RJ-2021-048>, 'rrq' by FitzJohn and Ashton (2023) <https://github.com/mrc-ide/rrq>, 'clustermq' by Schubert (2019) <doi:10.1093/bioinformatics/btz284>), and 'batchtools' by Lang, Bischel, and Surmann (2017) <doi:10.21105/joss.00135>.
Getting started
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Package details |
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| Author | William Michael Landau [aut, cre] (<https://orcid.org/0000-0003-1878-3253>), Daniel Woodie [ctb], Eli Lilly and Company [cph, fnd] |
| Maintainer | William Michael Landau <will.landau.oss@gmail.com> |
| License | MIT + file LICENSE |
| Version | 1.1.0 |
| URL | https://wlandau.github.io/crew/ https://github.com/wlandau/crew |
| Package repository | View on CRAN |
| Installation |
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