Provides ease of use and configuration components for controlling a distributed set of R instances on a cluster from a remote R session (e.g. running on a laptop with RStudio). Other parallel approaches (multicore, multithreading, and GPU) are compatible with a launchr() distributed server session, which provides a means of specifying the number of R sessions per node, leaving cores available for these shared-memory applications. The intent is to provide an easy-to-use interactive SPMD-style develpment platform for distributed parallel programming in R. Leave BIG data on BIG platforms and control its analysis using R codes on your laptop.
|Maintainer||George Ostrouchov <[email protected]>|
|License||BSD 2-clause License + file LICENSE|
|Package repository||View on GitHub|
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