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parallelly
View on CRAN: Click
here
Download and install parallelly package within the R console
Install from CRAN:
install.packages("parallelly")
Install from Github:
library("remotes")
install_github("cran/parallelly")
Install by package version:
library("remotes")
install_version("parallelly", "1.42.0")
Attach the package and use:
library("parallelly")
Maintained by
Henrik Bengtsson
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.parallelly . https://github.com/futureverse/parallelly/issues . https://parallelly.futureverse.org . https://github.com/futureverse/parallelly . parallelly results . parallelly.pdf . An Introduction to 'parallelly' . parallelly_1.43.0.tar.gz . parallelly_1.43.0.zip . parallelly_1.43.0.zip . parallelly_1.43.0.zip . parallelly_1.43.0.tgz . parallelly_1.43.0.tgz . parallelly_1.43.0.tgz . parallelly_1.43.0.tgz . parallelly_1.43.0.tgz . parallelly_1.43.0.tgz . parallelly archive . https://CRAN.R-project.org/package=parallelly .
First Published: 2020-10-20
Latest Update: 2023-05-26
Description:
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.
How to cite:
Henrik Bengtsson (2020). parallelly: Enhancing the 'parallel' Package. R package version 1.42.0, https://cran.r-project.org/web/packages/parallelly. Accessed 05 Apr. 2025.
Previous versions and publish date:
1.20.0 (2020-10-20 16:20), 1.21.0 (2020-10-27 16:30), 1.22.0 (2020-12-13 06:40), 1.23.0 (2021-01-04 22:20), 1.24.0 (2021-03-14 16:50), 1.25.0 (2021-04-30 21:00), 1.26.0 (2021-06-09 22:50), 1.26.1 (2021-06-30 07:10), 1.27.0 (2021-07-19 12:40), 1.28.1 (2021-09-09 15:20), 1.29.0 (2021-11-21 06:40), 1.30.0 (2021-12-17 02:00), 1.31.0 (2022-04-07 23:50), 1.31.1 (2022-04-22 19:30), 1.32.0 (2022-06-07 23:10), 1.32.1 (2022-07-21 13:30), 1.33.0 (2022-12-14 21:40), 1.34.0 (2023-01-13 18:30), 1.35.0 (2023-03-23 01:10), 1.36.0 (2023-05-26 22:30), 1.37.0 (2024-02-14 23:30), 1.37.1 (2024-02-29 08:10), 1.38.0 (2024-07-27 13:00), 1.39.0 (2024-11-07 21:10), 1.40.0 (2024-12-03 05:30), 1.40.1 (2024-12-04 15:00), 1.41.0 (2024-12-18 19:20), 1.42.0 (2025-01-30 17:20)
Other packages that cited parallelly R package
View parallelly citation profile
Other R packages that parallelly depends,
imports, suggests or enhances
Complete documentation for parallelly
Functions, R codes and Examples using
the parallelly R package
Some associated functions: as.cluster . autoStopCluster . availableConnections . availableCores . availableWorkers . canPortBeUsed . cloneNode . cpuLoad . find_rshcmd . freeCores . freePort . getOption2 . isConnectionValid . isForkedChild . isForkedNode . isLocalhostNode . isNodeAlive . killNode . makeClusterMPI . makeClusterPSOCK . parallelly.options . pid_exists . supportsMulticore .
Some associated R codes: 000.import.R . RichSOCKcluster.R . as.cluster.R . autoStopCluster.R . availableConnections.R . availableCores.R . availableWorkers.R . cgroups.R . cloneNode.R . cpuLoad.R . detectCores.R . freeCores.R . getOptionOrEnvVar.R . isConnectionValid.R . isForkedChild.R . isForkedNode.R . isLocalhostNode.R . isNodeAlive.R . killNode.R . launchNodePSOCK.R . makeClusterMPI.R . makeClusterPSOCK.R . makeNodePSOCK.R . makeZZZ.R . options.R . parallelly_disable_parallel_setup_if_needed.R . ports.R . stealth_sample.R . supportsMulticore.R . utils,cluster.R . utils,conditions.R . utils,pid.R . utils.R . zzz.R . Full parallelly package functions and examples
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