What is the most cost effective hardware for R?
I think the general experience is that R is going to be more memory-hungry than other resources so you'll get the best bang for your buck on that end. R also has good parallelization support: that and other high performance concerns are addressed here: http://cran.r-project.org/web/views/HighPerformanceComputing.html Performance (as it is for most computationally expensive tasks) will likely be better under Linux and you'll get good free help from R-SIG-Fedora and R-SIG-Debian if you pick one of those (in addition to whatever your sys admin can give) Michael
On Tue, May 8, 2012 at 6:49 AM, Hugh Morgan <h.morgan at har.mrc.ac.uk> wrote:
Has anyone got any advice about what hardware to buy to run lots of R analysis? ?Links to studies or other documents would be great as would be personal opinion. We are not currently certain what analysis we shall be running, but our first implementation uses the functions lme and gls from the library nlme. ?To do one data point currently takes 1.5 seconds on our 3 year old sunfire box, and the data points are completely independant so the analysis is fully parallelisable without implmenting multi-threading within each data point. ?We have a reasnoble amount of sys admin support in house. ?We are an academic institution. ?We are looking at spending a few thousand to a small number of tens of thousands of dollars. Any help greatly appreciated This email may have a PROTECTIVE MARKING, for an explanation please see: http://www.mrc.ac.uk/About/Informationandstandards/Documentmarking/index.htm
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