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.

Version: 5.1.4
Depends: R (≥ 3.0.2)
Suggests: Rcpp, RUnit, knitr, rmarkdown
Published: 2021-05-04
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 ORCID iD [ctb], 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 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://rcppcore.github.io/RcppParallel/, https://github.com/RcppCore/RcppParallel
NeedsCompilation: yes
SystemRequirements: GNU make, Intel TBB, Windows: cmd.exe and cscript.exe, Solaris: g++ is required
Materials: NEWS
In views: HighPerformanceComputing
CRAN checks: RcppParallel results

Downloads:

Reference manual: RcppParallel.pdf
Package source: RcppParallel_5.1.4.tar.gz
Windows binaries: r-devel: RcppParallel_5.1.4.zip, r-devel-UCRT: RcppParallel_5.1.4.zip, r-release: RcppParallel_5.1.4.zip, r-oldrel: RcppParallel_5.1.4.zip
macOS binaries: r-release (arm64): RcppParallel_5.1.4.tgz, r-release (x86_64): RcppParallel_5.1.4.tgz, r-oldrel: RcppParallel_5.1.4.tgz
Old sources: RcppParallel archive

Reverse dependencies:

Reverse depends: blavaan, gaston, junctions, Ravages
Reverse imports: AovBay, autocart, bayesbr, bayesdfa, bayesforecast, bayesGAM, BGVAR, bistablehistory, bmggum, bpcs, btb, catSurv, chickn, cppRouting, ctsem, cytolib, CytoML, dada2, dbmss, detrendr, diffuStats, dipsaus, diseq, DNAtools, dodgr, dtwclust, earthtide, fishflux, flowWorkspace, FLSSS, GenomeAdmixR, glow, GMKMcharlie, HIBAG, hpa, hsstan, IncDTW, lamW, lgpr, lingmatch, markovchain, matrixprofiler, metaBMA, mfbvar, microclass, milr, msce, MultiBD, multinma, NestedCategBayesImpute, netboost, OncoBayes2, openCR, OpenMx, oposSOM, parallelDist, patternplot, PINSPlus, prophet, proxyC, qualpalr, quanteda, quanteda.textmodels, quanteda.textstats, rater, RBesT, rbioacc, rbiom, RcppMeCab, rmBayes, rmdcev, rmsb, rNeighborGWAS, roll, rPref, rstan, rstanarm, rstantools, rTRNG, rubias, SAIGEgds, SAR, Scalelink, scDHA, scGPS, secr, sentometrics, seqR, SimJoint, skm, smam, SSDL, stanette, StanHeaders, StMoSim, stringfish, thurstonianIRT, TriDimRegression, tsmp, walker
Reverse linking to: AovBay, autocart, autoFRK, baggr, bayesbr, bayesdfa, bayesforecast, bayesGAM, BGVAR, BINtools, bistablehistory, blavaan, bmggum, bpcs, btb, catSurv, chickn, CNVRG, cppRouting, ctsem, cytolib, CytoML, dada2, dbmss, densEstBayes, detrendr, diffuStats, dipsaus, DNAtools, dodgr, dtwclust, earthtide, fishflux, flowWorkspace, FLSSS, gastempt, gaston, GenomeAdmixR, glow, GMKMcharlie, HIBAG, hpa, hsstan, IncDTW, junctions, lamW, lgpr, lingmatch, markovchain, matrixprofiler, metaBMA, mfbvar, microclass, milr, mina, msce, MultiBD, multinma, NestedCategBayesImpute, netboost, OncoBayes2, openCR, OpenMx, oposSOM, PandemicLP, parallelDist, patternplot, pcFactorStan, PINSPlus, prophet, proxyC, qualpalr, quanteda, quanteda.textmodels, quanteda.textstats, rater, Ravages, RBesT, rbioacc, rbiom, RcppMeCab, rmBayes, rmdcev, rmsb, roll, rPref, rstan, rstanarm, rTRNG, rubias, SAIGEgds, SAR, Scalelink, scDHA, scGPS, secr, seededlda, sentometrics, seqR, SimJoint, skm, smam, SSDL, stanette, StanHeaders, StMoSim, stringfish, thurstonianIRT, TriDimRegression, tsmp, walker
Reverse suggests: BINtools, rollRegres

Linking:

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