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.
