Parallel Programming Tools for 'Rcpp' R package RcppParallel version 6.2.0 CRAN Task View: HighPerformanceComputing (https://CRAN.R-project.org/view=HighPerformanceComputing) 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. Software Depends: R (>= 3.6.0) Suggests: Rcpp, knitr, rmarkdown Kevin Ushey <kevin@rstudio.com> Comprehensive R Archive Network (CRAN) Kevin Ushey [aut, cre] (ORCID: <https://orcid.org/0000-0003-2880-7407>), JJ Allaire [aut], Romain Francois [aut, cph], Gregory Vandenbrouck [aut], Marcus Geelnard [aut, cph] (TinyThread library, https://tinythreadpp.bitsnbites.eu/), Hamada S. Badr [ctb] (ORCID: <https://orcid.org/0000-0002-9808-2344>), Dirk Eddelbuettel [aut] (ORCID: <https://orcid.org/0000-0001-6419-907X>), Intel [aut, cph] (oneTBB library), UXL Foundation [aut, cph] (oneTBB library), Microsoft [cph], Posit, PBC [cph] GPL (>= 3) 2026-07-30 application/tgz https://CRAN.R-project.org/package=RcppParallel doi:10.32614/CRAN.package.RcppParallel