crew.cluster: Crew Launcher Plugins for Traditional High-Performance Computing Clusters

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 'crew.cluster' package extends the 'mirai'-powered 'crew' package with worker launcher plugins for traditional high-performance computing systems. Inspiration also comes from packages 'mirai' by Gao (2023) <https://github.com/shikokuchuo/mirai>, '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, Bischl, and Surmann (2017). <doi:10.21105/joss.00135>.

Version: 0.3.0
Depends: R (≥ 4.0.0)
Imports: crew (≥ 0.8.0), ps, lifecycle, R6, rlang, utils, vctrs, xml2
Suggests: knitr (≥ 1.30), markdown (≥ 1.1), rmarkdown (≥ 2.4), testthat (≥ 3.0.0)
Published: 2024-02-08
Author: William Michael Landau ORCID iD [aut, cre], Michael Gilbert Levin ORCID iD [aut], Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau.oss at gmail.com>
BugReports: https://github.com/wlandau/crew.cluster/issues
License: MIT + file LICENSE
URL: https://wlandau.github.io/crew.cluster/, https://github.com/wlandau/crew.cluster
NeedsCompilation: no
Language: en-US
Materials: NEWS
CRAN checks: crew.cluster results

Documentation:

Reference manual: crew.cluster.pdf

Downloads:

Package source: crew.cluster_0.3.0.tar.gz
Windows binaries: r-devel: crew.cluster_0.3.0.zip, r-release: crew.cluster_0.3.0.zip, r-oldrel: crew.cluster_0.3.0.zip
macOS binaries: r-release (arm64): crew.cluster_0.3.0.tgz, r-oldrel (arm64): crew.cluster_0.3.0.tgz, r-release (x86_64): crew.cluster_0.3.0.tgz
Old sources: crew.cluster archive

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