Dear All, I appreciate any advice or hints you could provide about the following.
We are running R code in a server (running Windows XP and QuadCore Xeon processors, see details below) and we would like to use the server efficiently. Our code takes a bit more than 6 seconds per 25 iterations in the server using a default R 2.10.0 installation. We tested our code in two other computers, a Dell Latitute and a MacBook Pro, and from the details that i include below you will notice that the code needs almost twice the time when we used R for Windows compared against the time the code needs when we use Linux or MacOSX 10.6.2 in each of these computers. I'm sorry I don't provide details on the code we are using. The code consists of all sort of operations (matrix inverses, random number generation, vectorized functions, a few loops, and so on). I hope I can get some advice from you despite the lack of specific code details. Is there any important R feature we should configure manually in the windows server to speed the code up? Is there an optimized BLAS available somewhere for this type of machine? Is these something else apart of an optimized BLAS that we could do to improve the timing? Best regards, Carlos **Server running WinXP (QuadCore Xeon 2.6GHz 8G Ram) Time per 25 Iterations "6.17" -------- **Dell Latitude running Linux (R 2.9.2, Intel Core 2 Duo P9500 @ 2.53GHz, 4GB ram) Time per 25 iterations "2.88" **Dell Latitude running Win Vista (R 2.10.0, Intel Core 2 Duo P9500 @ 2.53GHz, 4GB ram) with New DLL in terminal Time per 25 iterations "5.53" ------- **Macbook pro (2.16GHz Intel Core 2 Duo & 2GB ram) Time per 25 Iterations "4.58" **Macbook pro running WinXp (2.16GHz Intel Core 2 Duo & 2GB ram) Time per 25 Iterations "8.23" note: for the Dell and MacBook Pro we replaced the Rblas.dll file of R for Windows with the file available here http://cran.r-project.org/bin/windows/contrib/ATLAS/C2D/ [[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.
