Transform Serial R Code into Parallel R Code

Writing parallel R code can be difficult, particularly for code that is not "embarrassingly parallel". This experimental package automates the transformation of serial R code into more efficient parallel versions. It identifies task parallelism by statically analyzing entire scripts to detect dependencies between statements. It implements an extensible system for scheduling and generating new code. It includes a reference implementation of the 'List Scheduling' approach to the general task scheduling problem of scheduling statements on multiple processors.


Reference manual

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0.1.1 by Clark Fitzgerald, a year ago

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Authors: Clark Fitzgerald [aut, cre]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports methods, utils, graphics, parallel, codetools, CodeDepends, whisker

Suggests igraph, roxygen2, knitr, rmarkdown, testthat

See at CRAN