Hello Johannes, These topics have been fairly well discussed on the helplist, so a search will return you a lot more results. Regarding memory, there are options besides simply increasing RAM (although if you have the funds, by all means). Look at http://crantastic.org/packages/ff and http://crantastic.org/packages/bigmemory and some of the related packages.
Regarding multi-core processors. R does not use multiple threads by default, but there are many packages that can utilize multi-core processors. Look at http://crantastic.org/packages/multicore and also this article http://www.jstatsoft.org/v31/i01 discusses some of the options there. Regarding operating systems, I am not certain what you consider 'standard operating systems'. You would certainly want 64-bit. Beyond that I know that some versions of Windows (e.g., the 'basic', 'starter' or 'home' lines) are often limited in their memory usage even for 64-bit. Microsoft gives the details here http://msdn.microsoft.com/en-us/library/aa366778(VS.85).aspx I would hazard the guess that as long as you purchase the computer pre-made, the manufacturer will ensure that the OS, processor, and RAM amounts, types, speeds, etc. are all compatible. A search for 'workstations' should turn up results about where you might shop for an appropriate computer. There are many options available. Just to reiterate, there is a lot more information available on each of these topics in the archives, here is a link where you can easily search them http://tolstoy.newcastle.edu.au/~rking/R/ Best regards, Josh On Sun, Jun 6, 2010 at 11:06 PM, Johannes Reichl <rei...@energieinstitut-linz.at> wrote: > Hi all, > > I need to do massive simulations in the next two years. I estimated > that I will need about 64GB memory, if I do not want to split up the > calculations. Additionally I would like to have it as fast as possible. > > > Can R handle multi-core processors and can all standard operating > systems handle the same amount of memory and speed? > > Perhaps someone could point me to a webshop that sales such equipment > that is suiteable for fast R computation. > > Thank you, Johannes > > > Dr. Johannes Reichl > Abteilung Energiewirtschaft > Energieinstitut an der Johannes Kepler Universität Linz > Altenberger Straße 69 > A-4040 Linz > ***************************** > Tel.: +43-732-2468-5652 > Fax: +43-732-2468-5651 > Email: rei...@energieinstitut-linz.at > Web: www.energieinstitut-linz.at > www.energyefficiency.at > > > [[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. > > -- Joshua Wiley Senior in Psychology University of California, Riverside http://www.joshuawiley.com/ ______________________________________________ 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.
