multicore: Parallel processing of R code on machines with multiple cores or CPUs

This package provides a way of running parallel computations in R on machines with multiple cores or CPUs. Jobs can share the entire initial workspace and it provides methods for results collection.

Version: 0.1-7
Depends: R (≥ 2.0.0)
OS_type: unix
Published: 2011-09-08
Author: Simon Urbanek
Maintainer: Simon Urbanek <Simon.Urbanek at r-project.org>
License: GPL-2
URL: http://www.rforge.net/multicore/
NeedsCompilation: yes
SystemRequirements: POSIX-compliant OS (essentially anything but Windows; some Windows variants are supported experimentally, your mileage may vary)
In views: HighPerformanceComputing
CRAN checks: multicore results

Downloads:

Package source: multicore_0.1-7.tar.gz
MacOS X binary: multicore_0.1-7.tgz
Windows binary: not available, see ReadMe.
Reference manual: multicore.pdf
News/ChangeLog:NEWS
Old sources: multicore archive

Reverse dependencies:

Reverse suggests: cfa, Daim, fastVAR, MADAM, mapReduce, MeDiChI, Modalclust, PopGenome, rrBLUP, SpeciesMix, spls, vwr
Reverse enhances: pathClass