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parallel (version 3.4.1)

Support for Parallel computation in R

Description

Support for parallel computation, including by forking (taken from package multicore), by sockets (taken from package snow) and random-number generation.

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Version

3.4.1

License

Part of R 3.4.1

Maintainer

R-core R-core@R-project.org

Last Published

December 12th, 2019

Functions in parallel (3.4.1)

mcfork

Fork a Copy of the Current R Process

mclapply

Serial versions of mclapply, mcmapply and pvec

RNGstreams

Implementation of Pierre L'Ecuyer's RngStreams

clusterApply

Apply Operations using Clusters

parallel-package

Support for Parallel Computation

splitIndices

Divide Tasks for Distribution in a Cluster

detectCores

Detect the Number of CPU Cores

makeCluster

Create a Parallel Socket Cluster

mcchildren

Low-level Functions for Management of Forked Processes

mcaffinity

Get or Set CPU Affinity Mask of the Current Process

mcparallel

Evaluate an R Expression Asynchronously in a Separate Process

pvec

Parallelize a Vector Map Function using Forking