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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.
Getting started
Browse package contents
Package details |
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| Author | JJ Allaire [aut], Romain Francois [aut, cph], Kevin Ushey [aut, cre], Gregory Vandenbrouck [aut], Marcus Geelnard [aut, cph] (TinyThread library, https://tinythreadpp.bitsnbites.eu/), Hamada S. Badr [ctb] (<https://orcid.org/0000-0002-9808-2344>), Posit, PBC [cph], Intel [aut, cph] (Intel TBB library, https://www.threadingbuildingblocks.org/), Microsoft [cph] |
| Maintainer | Kevin Ushey <kevin@rstudio.com> |
| License | GPL (>= 3) |
| Version | 5.1.7 |
| URL | https://rcppcore.github.io/RcppParallel/ https://github.com/RcppCore/RcppParallel |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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