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>
License: GPL-2
NeedsCompilation: yes
SystemRequirements: POSIX-compliant OS (essentially anything but Windows; some Windows variants are supported experimentally, your mileage may vary)
Materials: NEWS
In views: HighPerformanceComputing
CRAN checks: multicore results


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

Reverse dependencies:

Reverse suggests: chemosensors, RCEIM