RcppParallel: Parallel Programming Tools for 'Rcpp'

High level functions for parallel programming with 'Rcpp'. For example, the 'parallelFor()' function can be used to convert the work of a standard serial "for" loop into a parallel one and the 'parallelReduce()' function can be used for accumulating aggregate or other values.

Package details

AuthorJJ Allaire [aut], Romain Francois [aut, cph], Kevin Ushey [aut, cre], Gregory Vandenbrouck [aut], Marcus Geelnard [aut, cph] (TinyThread library, http://tinythreadpp.bitsnbites.eu/), RStudio [cph], Intel [aut, cph] (Intel TBB library, https://www.threadingbuildingblocks.org/), Microsoft [cph]
MaintainerKevin Ushey <[email protected]>
LicenseGPL-2
Version4.4.2
URL http://rcppcore.github.io/RcppParallel https://github.com/RcppCore/RcppParallel
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("RcppParallel")

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RcppParallel documentation built on Dec. 12, 2018, 1:04 a.m.