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: 0.9.4
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: 2024-03-04
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 < at>
License: Apache License (== 2.0) | file LICENSE
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


Reference manual: clustermq.pdf
Vignettes: FAQ
Technical Documentation
User Guide


Package source: clustermq_0.9.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): clustermq_0.9.4.tgz, r-oldrel (arm64): clustermq_0.9.4.tgz, r-release (x86_64): clustermq_0.9.4.tgz, r-oldrel (x86_64): clustermq_0.9.4.tgz
Old sources: clustermq archive

Reverse dependencies:

Reverse imports: historicalborrowlong
Reverse suggests: drake, targets


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