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.
Version: | 5.0.2 |
Depends: | R (≥ 3.0.2) |
Suggests: | Rcpp, RUnit, knitr, rmarkdown |
Published: | 2020-06-24 |
Author: | JJ 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] |
Maintainer: | Kevin Ushey <kevin at rstudio.com> |
BugReports: | https://github.com/RcppCore/RcppParallel/issues |
License: | GPL-2 |
URL: | http://rcppcore.github.io/RcppParallel, https://github.com/RcppCore/RcppParallel |
NeedsCompilation: | yes |
SystemRequirements: | GNU make, Windows: cmd.exe and cscript.exe, Solaris: g++ is required |
Materials: | NEWS |
In views: | HighPerformanceComputing |
CRAN checks: | RcppParallel results |
Reference manual: | RcppParallel.pdf |
Package source: | RcppParallel_5.0.2.tar.gz |
Windows binaries: | r-devel: RcppParallel_5.0.2.zip, r-release: RcppParallel_5.0.2.zip, r-oldrel: RcppParallel_5.0.2.zip |
macOS binaries: | r-release: RcppParallel_5.0.2.tgz, r-oldrel: RcppParallel_5.0.2.tgz |
Old sources: | RcppParallel archive |
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