R: Support for Parallel Computation

parallel-package {parallel} | R Documentation

## Support for Parallel Computation

### Description

Support for parallel computation, including random-number generation.

### Details

This package is under development: a first version was released with R 2.14.0.

There is support for multiple RNG streams with the "L'Ecuyer-CMRG" RNG: see `nextRNGStream`.

It contains functionality derived from and pretty much equivalent to that contained in packages multicore (with some low-level functions renamed and not exported) and snow (for socket clusters only, but MPI and NWS clusters generated by snow are also supported). This package also provides `makeForkCluster`.

For a complete list of exported functions, use `library(help = "parallel")`.

### Author(s)

Brian Ripley, Luke Tierney and Simon Urbanek

Maintainer: R Core Team R-core@r-project.org

### See Also

Parallel computation involves launching worker processes: functions `psnice` and `pskill` in package tools provide means to manage such processes.

[Package parallel version 3.1.2 Index]