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clustermq: Evaluate Function Calls on HPC Schedulers (LSF, SGE, SLURM, PBS/Torque)

Evaluate arbitrary function calls using workers on HPC schedulers in single line of code. All processing is done on the network without accessing the file system. Remote schedulers are supported via SSH.

Version: 0.9.5
Depends: R (≥ 3.6.2)
Imports: methods, narray, globals, progress, R6, Rcpp, utils
LinkingTo: Rcpp
Suggests: BiocParallel, callr, devtools, foreach, iterators, knitr, parallel, rmarkdown, roxygen2 (≥ 5.0.0), testthat, tools
Published: 2024-08-19
DOI: 10.32614/CRAN.package.clustermq
Author: Michael Schubert ORCID iD [aut, cre, cph], ZeroMQ authors [aut, cph] (source files in 'src/libzmq' and 'src/cppzmq')
Maintainer: Michael Schubert <mschu.dev at gmail.com>
BugReports: https://github.com/mschubert/clustermq/issues
License: Apache License (== 2.0) | file LICENSE
URL: https://mschubert.github.io/clustermq/
NeedsCompilation: yes
SystemRequirements: ZeroMQ (libzmq) >= 4.3.0 (optional; otherwise bundled)
Citation: clustermq citation info
Materials: README NEWS
In views: HighPerformanceComputing
CRAN checks: clustermq results

Documentation:

Reference manual: clustermq.pdf
Vignettes: FAQ (source, R code)
Technical Documentation (source, R code)
User Guide (source, R code)

Downloads:

Package source: clustermq_0.9.5.tar.gz
Windows binaries: r-devel: clustermq_0.9.5.zip, r-release: clustermq_0.9.5.zip, r-oldrel: clustermq_0.9.5.zip
macOS binaries: r-release (arm64): clustermq_0.9.5.tgz, r-oldrel (arm64): clustermq_0.9.5.tgz, r-release (x86_64): clustermq_0.9.5.tgz, r-oldrel (x86_64): clustermq_0.9.5.tgz
Old sources: clustermq archive

Reverse dependencies:

Reverse imports: historicalborrowlong
Reverse suggests: drake, targets

Linking:

Please use the canonical form https://CRAN.R-project.org/package=clustermq to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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