Nic, I'd buy a Mac Power server.
Not that's much faster, but while one of the cores toils away at R you can play games on the others :-)-O el on 9/9/08 8:54 PM Henrik Bengtsson said the following: > On Tue, Sep 9, 2008 at 6:31 AM, Nic Larson <[EMAIL PROTECTED]> wrote: >> Need to buy fast computer for running R on. Today we use 2,8 MHz intel D cpu >> and the calculations takes around 15 days. Is it possible to get the same >> calculations down to minutes/hours by only changing the hardware? >> Should I go for an really fast dual 32 bit cpu and run R over linux or xp or >> go for an quad core / 64 bit cpu? >> Is it effective to run R on 64 bit (and problem free >> (running/installing))??? >> Have around 2000-3000 euro to spend > > Faster machines won't do that much. Without knowing what methods and > algorithms you are running, I bet you a beer that it can be made twice > as fast by just optimizing the code. My claim applies recursively. > In other words, by optimizing the algorithms/code you can speed up > things quite a bit. From experience, it is not unlikely to find > bottlenecks in generic algorithms that can be made 10-100 times > faster. Here is *one* example illustrating that even when you think > the code is "fully optimized" you can still squeeze out more: > > http://wiki.r-project.org/rwiki/doku.php?id=tips:programming:code_optim2 > > So, start profiling your code to narrow down the parts that takes most > of the CPU time. help(Rprof) is a start. There is also a Section > 'Profiling R code for speed' in 'Writing R Extensions'. Good old > verbose print out of system.time() also helps. > > My $.02 ...or 2000-3000USD if it was bounty?! ;) > > /Henrik > >> Thanx for any tip >> >> [[alternative HTML version deleted]] >> >> ______________________________________________ >> R-help@r-project.org mailing list >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html >> and provide commented, minimal, self-contained, reproducible code. >> > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. -- Dr. Eberhard W. Lisse \ / Obstetrician & Gynaecologist (Saar) [EMAIL PROTECTED] el108-ARIN / * | Telephone: +264 81 124 6733 (cell) PO Box 8421 \ / Please do NOT email to this address Bachbrecht, Namibia ;____/ if it is DNS related in ANY way ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
