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parallelly: Enhancing the 'parallel' Package

Utility functions that enhance the 'parallel' package and support the built-in parallel backends of the 'future' package. For example, availableCores() gives the number of CPU cores available to your R process as given by the operating system, 'cgroups' and Linux containers, R options, and environment variables, including those set by job schedulers on high-performance compute clusters. If none is set, it will fall back to parallel::detectCores(). Another example is makeClusterPSOCK(), which is backward compatible with parallel::makePSOCKcluster() while doing a better job in setting up remote cluster workers without the need for configuring the firewall to do port-forwarding to your local computer.

Version: 1.41.0
Imports: parallel, tools, utils
Suggests: commonmark, base64enc
Published: 2024-12-18
DOI: 10.32614/CRAN.package.parallelly
Author: Henrik Bengtsson ORCID iD [aut, cre, cph], Mike Cheng [ctb]
Maintainer: Henrik Bengtsson <henrikb at braju.com>
BugReports: https://github.com/futureverse/parallelly/issues
License: LGPL-2.1 | LGPL-3 [expanded from: LGPL (≥ 2.1)]
URL: https://parallelly.futureverse.org, https://github.com/futureverse/parallelly
NeedsCompilation: yes
Materials: NEWS
In views: HighPerformanceComputing
CRAN checks: parallelly results

Documentation:

Reference manual: parallelly.pdf
Vignettes: An Introduction to 'parallelly' (source)
Parallel Workers on the Local Machine (source)
Parallel Workers on Other Machines (source)
Parallel Workers in the Cloud (source)
Parallel Workers on High-Performance Compute Environments (source)
Parallel Workers with CPU and Memory Limited (source)
Parallel Workers Running in Linux Containers (source)
Parallel Workers Running MS Windows via Wine (source)

Downloads:

Package source: parallelly_1.41.0.tar.gz
Windows binaries: r-devel: parallelly_1.40.1.zip, r-release: parallelly_1.41.0.zip, r-oldrel: parallelly_1.41.0.zip
macOS binaries: r-release (arm64): parallelly_1.41.0.tgz, r-oldrel (arm64): parallelly_1.41.0.tgz, r-release (x86_64): parallelly_1.41.0.tgz, r-oldrel (x86_64): parallelly_1.41.0.tgz
Old sources: parallelly archive

Reverse dependencies:

Reverse depends: future.batchtools, xega
Reverse imports: adea, alookr, amadeus, bigparallelr, bigreadr, bootUR, cccrm, COTAN, CptNonPar, decoupleR, desla, fiery, fsemipar, future, future.mirai, GREENeR, greta, gtfstools, IFAA, InPAS, JMbayes2, kernelboot, LWFBrook90R, mappp, mlr3, modeltime, multilevelmediation, NCC, nebula, outliers.ts.oga, parseRPDR, pmartR, proffer, ResIN, rivnet, Rtapas, SCDB, scruff, SimDesign, simIDM, spanishoddata, specr, streetscape, TaxaNorm, TDApplied, tern.mmrm, TSEAL
Reverse suggests: breathteststan, dataquieR, DEoptim, fmeffects, gastempt, mice, mmrm, QDNAseq, qtl2pleio, targets, wildmeta, xegaPopulation

Linking:

Please use the canonical form https://CRAN.R-project.org/package=parallelly 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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