Running on 64-bit per se does not make things faster. In fact, from my experience it sometimes makes things slower. The advantage with 64-bit is the extra address space for storing things in memory.
Of course, today's 64-bit chips are all faster than recent 32-bit chips, so you will get a speed improvement, but only because you're getting a better chip. -roger Kerpel, John wrote: > The benchmark report is good stuff - I've been wondering about these > speed issues recently myself. > > Has anyone tried something similar on 64-bit Linux or other OS? I'm > contemplating switching to 64-bit Linux if I'll get some dramatic cycle > time improvements. Anyone have any experience with this? > > Best, > > John > > -----Original Message----- > From: [EMAIL PROTECTED] > [mailto:[EMAIL PROTECTED] On Behalf Of Liaw, Andy > Sent: Friday, June 02, 2006 10:01 AM > To: ivo welch; [email protected] > Subject: Re: [R] speed? > > You (and your colleague) might want to have a look at > http://www.sciviews.org/benchmark/. It's a bit dated, > but still may be a good starting point. > > Some months ago some one asked about working on getting > R to use the GPU for computation on the R-devel list. > Don't know if anything came of it. > > Cheers, > Andy > > From: ivo welch >> dear R wizards: >> >> while extolling the virtues of R, one of my young >> econometrics colleagues told me that he still wants to run ox >> because [a] his code is written in it (good reason); [b] >> because ox seems to be faster than R in most benchmarks (huh?). >> >> this got me to wonder. language speed can't matter much, so >> it must be mostly the underlying matrix algebra by now. I >> presume that nowadays most of the plain matrix operation >> speed depends primarily on which hardware features the >> library accesses. (The basic algorithms aren't so different, >> so even though the algorithm may have mattered a long time >> ago, they are probably pretty similar nowadays. hmmm...maybe >> matrix inversion still is different, but multiplication and >> adding should not be.) >> >> On x86 architecture, I believe there is a hierarchy in terms >> of raw processing power: FPU < SSE* < GPU. >> >> is it even possible to use the GPU now for math processing >> (linux or windows), and specifically in R? >> >> assuming I compile everything with the proper SSE flags and atlas, is >> SSE* fully taken advantage of? >> >> regards, >> >> /ivo >> >> ______________________________________________ >> [email protected] mailing list >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide! >> http://www.R-project.org/posting-guide.html >> >> > > ______________________________________________ > [email protected] mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! > http://www.R-project.org/posting-guide.html > > ______________________________________________ > [email protected] mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html > -- Roger D. Peng | http://www.biostat.jhsph.edu/~rpeng/ ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
