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: 0.8.95.3
Depends: R (≥ 3.5.0)
Imports: methods, narray, progress, purrr, R6, Rcpp, utils
LinkingTo: Rcpp
Suggests: callr, devtools, dplyr, foreach, iterators, knitr, parallel, rmarkdown, roxygen2 (≥ 5.0.0), testthat, tools
Published: 2022-01-26
Author: Michael Schubert ORCID iD [aut, cre]
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: C++11, ZeroMQ (libzmq)
Materials: NEWS
In views: HighPerformanceComputing
CRAN checks: clustermq results

Documentation:

Reference manual: clustermq.pdf
Vignettes: Quick Start
Technical Documentation
User Guide

Downloads:

Package source: clustermq_0.8.95.3.tar.gz
Windows binaries: r-devel: clustermq_0.8.95.3.zip, r-release: clustermq_0.8.95.3.zip, r-oldrel: clustermq_0.8.95.3.zip
macOS binaries: r-release (arm64): clustermq_0.8.95.3.tgz, r-oldrel (arm64): clustermq_0.8.95.3.tgz, r-release (x86_64): clustermq_0.8.95.3.tgz, r-oldrel (x86_64): clustermq_0.8.95.3.tgz
Old sources: clustermq archive

Reverse dependencies:

Reverse suggests: drake, raveio, targets

Linking:

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