Hello Philippe, Thank for your reply. I agree that this is an interesting project. As I say we have just started to buy Intel quad core machines after years of offered a service on AMD machines. I recompiled R with the GoTo BLAS, and did some basic tests..things like matrix cross products, solve, svd, etc, etc. The speed up on the Intels was stunning vs our AMD machines. Previously we have always worked with R + ACML BLAS on the AMDs (perhaps we have missing out on GoTo performance).
It would be great to bring the benchmarking programme up to date, and run it. My knowledge of R is basic -- I am a Unix administrator. Would you be able to spend some time working on the program please or do you know any colleagues who would be keen to put some effort in to this? Regards -- David. -----Original Message----- From: Philippe Grosjean [mailto:[EMAIL PROTECTED] Sent: 13 May 2008 15:10 To: Baker D.J. Cc: r-help@r-project.org Subject: Re: [R] R benchmarking program Hello, I did this bechmark test. Perhaps is it a good oppotunity to rewrite it and make it compatible with R 2.7.0, David? Best, Philippe Grosjean ..............................................<°}))><........ ) ) ) ) ) ( ( ( ( ( Prof. Philippe Grosjean ) ) ) ) ) ( ( ( ( ( Numerical Ecology of Aquatic Systems ) ) ) ) ) Mons-Hainaut University, Belgium ( ( ( ( ( .............................................................. Baker D.J. wrote: > Hi All, > > I've just rebuild the latest R with the Goto BLAS on our new Intel quad core > machines. I did a few basic matrix calculations, and I was very impressed by > the performance I saw. I wonder if anyone has a more rigorous benchmarking > program for R. I downloaded a old R test/benchmarking program (see below), > and this didn't work with the current R, and so I wondered if anyone could > please direct me to a more recent program that does a good all round test of > R. > > Regards -- David. > > > # R Benchmark 2.3 (21 April 2004) > # Warning: changes are not carefully checked yet! > # version 2.3 adapted to R 1.9.0 > # Many thanks to Douglas Bates ([EMAIL PROTECTED]) for improvements! > # version 2.2 adapted to R 1.8.0 > # version 2.1 adapted to R 1.7.0 > # version 2, scaled to get 1 +/- 0.1 sec with R 1.6.2 > # using the standard ATLAS library (Rblas.dll) > # on a Pentium IV 1.6 Ghz with 1 Gb Ram on Win XP pro > > # revised and optimized for R v. 1.5.x, 8 June 2002 > # Requires additionnal libraries: Matrix, SuppDists > # Author : Philippe Grosjean > # eMail : [EMAIL PROTECTED] > # Web : http://www.sciviews.org > # License: GPL 2 or above at your convenience (see: http://www.gnu.org) > # > # Several tests are adapted from the Splus Benchmark Test V. 2 > # by Stephan Steinhaus ([EMAIL PROTECTED]) > # Reference for Escoufier's equivalents vectors (test III.5): > # Escoufier Y., 1970. Echantillonnage dans une population de variables > # aleatoires réles. Publ. Inst. Statis. Univ. Paris 19 Fasc 4, 1-47. > > ... > Error in getClass(Class, where = topenv(parent.frame())) : > "geMatrix" is not a defined class > Calls: new -> getClass > Execution halted > > ______________________________________________ > 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.
