R multi-cpu and 64 bit
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 <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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