High level functions for doing 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: | 4.3.3 |
Suggests: | Rcpp, testthat |
Published: | 2014-10-21 |
Author: | JJ Allaire; Romain Francois; Intel, Inc.; Marcus Geelnard |
Maintainer: | JJ Allaire <jj at rstudio.com> |
License: | GPL-2 |
NeedsCompilation: | yes |
SystemRequirements: | GNU make |
Materials: | README NEWS |
CRAN checks: | RcppParallel results |
Reference manual: | RcppParallel.pdf |
Package source: | RcppParallel_4.3.3.tar.gz |
Windows binaries: | r-devel: RcppParallel_4.3.3.zip, r-release: RcppParallel_4.3.3.zip, r-oldrel: RcppParallel_4.3.3.zip |
OS X Snow Leopard binaries: | r-release: not available, r-oldrel: not available |
OS X Mavericks binaries: | r-release: RcppParallel_4.3.3.tgz |
Old sources: | RcppParallel archive |
Reverse depends: | StMoSim |
Reverse imports: | rPref |
Reverse linking to: | rPref, StMoSim |