doRNG: Generic Reproducible Parallel Backend for foreach Loops

This package provides functions to perform reproducible parallel foreach loops, using independent random streams as generated by L'Ecuyer's combined multiple-recursive generator [L'Ecuyer (1999)]. It enables to easily convert standard %dopar% loops into fully reproducible loops, independently of the number of workers, the task scheduling strategy, or the chosen parallel environment and associated foreach backend.

Version: 1.6
Depends: R (≥ 3.0.0), foreach, rngtools (≥ 1.2.4)
Imports: stats, iterators, pkgmaker (≥ 0.20)
Suggests: doParallel, doMPI, doRedis, rbenchmark, RUnit, devtools, knitr, bibtex
Published: 2014-03-07
Author: Renaud Gaujoux
Maintainer: Renaud Gaujoux <renaud at tx.technion.ac.il>
BugReports: http://github.com/renozao/doRNG/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://renozao.github.io/doRNG
NeedsCompilation: no
Materials: NEWS
In views: HighPerformanceComputing
CRAN checks: doRNG results

Downloads:

Reference manual: doRNG.pdf
Vignettes: doRNG-unitTests
Using the package doRNG
Package source: doRNG_1.6.tar.gz
MacOS X binary: doRNG_1.6.tgz
Windows binary: doRNG_1.6.zip
Old sources: doRNG archive