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:	0.3.1
Depends:	R (≥ 4.0.0)
Imports:	crew (≥ 0.8.0), ps, lifecycle, R6, rlang, utils, vctrs, xml2, yaml
Suggests:	knitr (≥ 1.30), markdown (≥ 1.1), rmarkdown (≥ 2.4), testthat (≥ 3.0.0)
Published:	2024-04-24
Author:	William Michael Landau [aut, cre], Michael Gilbert Levin [aut], Brendan Furneaux [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_0.3.1.tar.gz
Windows binaries:	r-devel: crew.cluster_0.3.1.zip, r-release: crew.cluster_0.3.1.zip, r-oldrel: crew.cluster_0.3.1.zip
macOS binaries:	r-release (arm64): crew.cluster_0.3.1.tgz, r-oldrel (arm64): crew.cluster_0.3.1.tgz, r-release (x86_64): crew.cluster_0.3.1.tgz, r-oldrel (x86_64): crew.cluster_0.3.1.tgz
Old sources:	crew.cluster archive

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