Hello Melanie, How much RAM is installed on your MacBook Pro compared to your colleague's Linux machine?
How big is your dataset in terms of rows and columns? I believe R can handle about 10M datapoints per GB of RAM. Note that datapoints = rows x columns Best Regards, Ray DiGiacomo, Jr. Master R Trainer President, Lion Data Systems LLC President, The Orange County R User Group Board Member, TDWI [email protected] (Mobile) 408-425-7851 San Juan Capistrano, California Check out my one-on-one web-based R courses at liondatasystems.com/courses On Thu, Oct 25, 2012 at 4:16 PM, Melanie Courtot <[email protected]> wrote: > Hi, > > I am trying to run R on my MacBook Pro 2.4 GHz Intel core i5. I am trying > to read a csv file, which works fine on my work colleague's machine (under > linux) but causes my CPU to go up to 100% and makes the GUI unresponsive > and hangs on the command line. Activity monitor indicates there is only one > R thread running. > > I did see that by default R was using the BLAS library, which is > single-threaded, and that there was an option to use vecLib instead. I did > this, and > ls -l /Library/Frameworks/R.framework/Resources/lib/libRblas.dylib > does return > /Library/Frameworks/R.framework/Resources/lib/libRblas.dylib -> > libRblas.vecLib.dylib > > I however still see the same behavior: 100% CPU, single thread. > > I saw that some MacBook pro (Xeon Nehalem based) had a vecLib bug, so I > built the ATLAS library and symlinked R to libtatlas.dylib (unfortunately > the pre compiled binairies pointed to in a previous email on the list [1] > were not available anymore. Building ATLAS was... fun ;)) I was able to get > the shared libraries (using --shared in my config) but still see the same > behavior when trying to run my code. I was unsure if I should link to > libsatlas.dylib or libtatlas.dylib, so tried both (I guess the latter was > the right one though) > > I tried building R from the source (specifying -arch x86_64 and > --enable-BLAS-shlib to be able to switch libraries), but same behavior and > it seems it is an identical version to the prepackaged one (I tried with > BLAS, vecLib and ATLAS) > > R info: R version 2.15.1 (2012-06-22) -- "Roasted Marshmallows", Platform: > x86_64-apple-darwin9.8.0/x86_64 (64-bit) > > Any help would be greatly appreciated. > > Thanks, > Melanie > > > [1] https://stat.ethz.ch/pipermail/r-sig-mac/2010-October/007817.html > > --- > Mélanie Courtot > MSFHR/PCIRN Ph.D. Candidate, > BCCRC - Terry Fox Laboratory - 12th floor > 675 West 10th Avenue > Vancouver, BC > V5Z 1L3, Canada > > _______________________________________________ > R-SIG-Mac mailing list > [email protected] > https://stat.ethz.ch/mailman/listinfo/r-sig-mac > [[alternative HTML version deleted]]
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