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r-parallelly

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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 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.

Installation

To install this package, run one of the following:

Conda
$conda install conda-forge::r-parallelly

Usage Tracking

1.46.1
1.46.0
1.45.1
1.45.0
1.44.0
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Downloads (Last 6 months): 0

About

Summary

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 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.

Last Updated

Jan 8, 2026 at 08:14

License

LGPL-2.1-or-later

Total Downloads

1.2M

Version Downloads

19.9K

Supported Platforms

macOS-64
macOS-arm64
win-64
linux-aarch64
linux-ppc64le
linux-64

Unsupported Platforms

noarch Last supported version: 1.37.0