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. --elijah On Thu, 2 Nov 2006, David Airey wrote: > Date: Thu, 2 Nov 2006 06:25:46 -0600 > From: David Airey <[EMAIL PROTECTED]> > To: r-sig-mac@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 [EMAIL PROTECTED] > URL http://people.vanderbilt.edu/~david.c.airey/dca_cv.pdf > URL http://www.vanderbilt.edu/pharmacology > > _______________________________________________ > R-SIG-Mac mailing list > R-SIG-Mac@stat.math.ethz.ch > https://stat.ethz.ch/mailman/listinfo/r-sig-mac > _______________________________________________ R-SIG-Mac mailing list R-SIG-Mac@stat.math.ethz.ch https://stat.ethz.ch/mailman/listinfo/r-sig-mac
