[R-SIG-Mac] R multi-cpu and 64 bit

elw at stderr.org elw at stderr.org
Thu Nov 2 13:51:18 CET 2006

Using SNOW, or MPI, or some careful batch programming to split up your 
tasks across CPUs - yes.

This is the same sort of thing you'd likely face in Stata -- unless 
they've invested a HUGE amount of effort in making threaded/parallelized 
computations "easier".

generally it makes the most sense to leave those optimizations to 
the person running the statistics - they're in a place to 
understand where to optimize things for their problem set.


On Thu, 2 Nov 2006, David Airey wrote:

> Date: Thu, 2 Nov 2006 06:25:46 -0600
> From: David Airey <david.airey at vanderbilt.edu>
> To: r-sig-mac at stat.math.ethz.ch
> Subject: [R-SIG-Mac] R multi-cpu and 64 bit
> R as is just great for me. I also use Stata 9 which is also a great
> environment. I'm not a statistician. I will be in the market for a
> new computer in January, and our data sets are getting very large--
> microarrays. Certainly, R has much more development via Bioconductor
> in this area. But I think it will be interesting to compare
> performance on something like the pending 8 cpu Mac Pro with the
> multiple CPU 64 bit version of Stata (only a grant can afford that),
> with R. So here's my question. Is R already capable of taking
> advantage of more than one core?
> --
> David C. Airey, Ph.D.
> Research Assistant Professor
> Department of Pharmacology
> School of Medicine
> Vanderbilt University
> 8148-A Medical Research Building 3
> 465 21st Avenue South
> Nashville, TN 37232-8548
> TEL   (615) 936-1510
> FAX   (615) 936-3747
> EMAIL david.airey at vanderbilt.edu
> URL   http://people.vanderbilt.edu/~david.c.airey/dca_cv.pdf
> URL   http://www.vanderbilt.edu/pharmacology
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