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: 1.36.0
Imports: parallel, tools, utils
Published: 2023-05-26
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb at>
License: LGPL-2.1 | LGPL-3 [expanded from: LGPL (≥ 2.1)]
NeedsCompilation: no
Materials: README NEWS
In views: HighPerformanceComputing
CRAN checks: parallelly results


Reference manual: parallelly.pdf


Package source: parallelly_1.36.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): parallelly_1.36.0.tgz, r-oldrel (arm64): parallelly_1.36.0.tgz, r-release (x86_64): parallelly_1.36.0.tgz, r-oldrel (x86_64): parallelly_1.36.0.tgz
Old sources: parallelly archive

Reverse dependencies:

Reverse depends: future.batchtools
Reverse imports: alookr, bigparallelr, bigreadr, bootUR, COTAN, CptNonPar, desla, fiery, future, GREENeR, greta, IFAA, InPAS, JMbayes2, kernelboot, LWFBrook90R, mappp, mlr3, modeltime, NCC, proffer, Rtapas, specr, TDApplied
Reverse suggests: breathtestcore, dataquieR, DEoptim, mice, mmrm, QDNAseq, qtl2pleio, targets, wildmeta


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