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Houston R Users Group Message Board › Parallel processing

Parallel processing

A former member
Post #: 2
Houston R,

What is the easiest (and/or best) way to do parallel processing in R? I have a Mac i5 processor, if that makes a difference. When I run R, I think that only two of the four cores are being used. It seems that perhaps I can more fully take advantage of the processor.

Thanks, Scott
Ed G.
user 8503925
Group Organizer
Houston, TX
Post #: 7

I haven't had a need to get into parallel processing with R since I mainly deal with smaller datasets, but you may want to look at the rmpi package (http://www.stats.uwo....­. There is a tutorial at http://math.acadiau.c...­

Rmpi looks like it's designed for clustered computer farms (a la Beowulf clusters) rather than multicore chips. Don't see why it wouldn't work with a multicore chip the same way, but I'm not an expert.

Another package to check out would be the multicore package. JD Long of the Chicago R Users Group has a blogpost about it that lays out the basics (http://www.cerebralma...­. He also hangs out on StackOverflow and twitter (@CMastication) and is pretty quick to respond to most inquiries.

Hope that helps,
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