Package rpvm. Package Rmpi. Package snow. Package multicore. Parallel Multicore Processing with R (on Windows) High-Performance and Parallel Computing with R. This CRAN task view contains a list of packages, grouped by topic, that are useful for high-performance computing (HPC) with R. In this context, we are defining 'high-performance computing' rather loosely as just about anything related to pushing R a little further: using compiled code, parallel computing (in both explicit and implicit modes), working with large objects as well as profiling.
Unless otherwise mentioned, all packages presented with hyperlinks are available from CRAN, the Comprehensive R Archive Network. Several of the areas discussed in this Task View are undergoing rapid change. Please send suggestions for additions and extensions for this task view to the task view maintainer . Direct support in R started with release 2.14.0 which includes a new package parallel incorporating (slightly revised) copies of packages multicore and snow. Parallel computing: Explicit parallelism Several packages provide the communications layer required for parallel computing. R/parallel : An easy-to-use toolkit for Parallel Computing in R.