ParallelR speed enhancement under Windows OS


Why should I use ParallelR when RRO is already leveraging the multi-core processing? Would I still get relevant speed increase by using ParallelR over RRO under Windows OS?


Only certain R functions take advantage of the multi-core capabilities of multi-threaded libraries. Using ParallelR is a way to take advantage of multiple cores for everything else (as long as you can express the problem as a loop)

This is shown in the "birthday" example presented in a recent webinar available at

Article ID: 3104108 - Last Review: 31 Oct 2015 - Revision: 1