Hi Harsh, The useR! 2008 site has useful information. E.g. talks by
Graham Williams: http://www.statistik.uni-dortmund.de/useR-2008/slides/Williams.pdf Dirk Eddelbuettel http://www.statistik.uni-dortmund.de/useR-2008/tutorials/useR2008introhighperfR.pdf and others http://www.statistik.uni-dortmund.de/useR-2008/abstracts/AbstractsByTopic.html#High%20Performance%20Computing A few days ago I was googling to see what types of workstations are available these days. Here's some with up to 64gb ram: http://www.colfax-intl.com/jlrid/SpotLight.asp?IT=0&RID=80 Perhaps it won't be long before we see such memory in laptops: http://www.ubergizmo.com/15/archives/2009/01/samsung_opens_door_to_32gb_ram_stick.html Like you, I'd also be interested in hearing about configurations folks have used to work w/ large datasets. hth, Kingsford Jones On Mon, Feb 16, 2009 at 5:10 AM, Harsh <singhal...@gmail.com> wrote: > Hi All, > I am trying to assemble a system that will allow me to work with large > datasets (45-50 million rows, 300-400 columns) possibly amounting to > 10GB + in size. > > I am aware that R 64 bit implementations on Linux boxes are suitable > for such an exercise but I am looking for configurations that R users > out there may have used in creating a high-end R system. > Due to a lot of apprehensions that SAS users have about R's data > limitations, I want to demonstrate R's usability even with very large > datasets as mentioned above. > I would be glad to hear from users(share configurations and system > specific information) who have desktops/servers on which they use R to > crunch massive datasets. > > > Any suggestions in expanding R's functionality in the face of gigabyte > class datasets would be appreciated. > > Thanks > Harsh Singhal > Decision Systems, > Mu Sigma Inc. > Chicago, IL > > ______________________________________________ > 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.