That was my bad. (doing two things at same time) I am not out of memory by no means.... it is just that it only runs at one core. IF somehow R was able to see the many cores in my system.
Regards Alex ________________________________ From: David Winsemius <dwinsem...@comcast.net> Cc: R. Michael Weylandt <michael.weyla...@gmail.com>; "R-help@r-project.org" <R-help@r-project.org> Sent: Monday, February 6, 2012 4:31 PM Subject: Re: [R] R enterprise for linux On Feb 6, 2012, at 10:17 AM, Alaios wrote: > My bad.. > > these are the real matrices > >> G<-DiagonalGaussian( NumberOfImagePixels,sd=Gsd) >> str(G) > num [1:16384, 1:16384] 1400 0 0 0 0 ... >> S<-PointSamplingMatrix(EffectiveSensors,NumberOfImagePixels) >> str(S) > num [1:10650, 1:16384] 0 0 0 0 0 0 0 0 0 0 ... >> A<-S %*% G > You seems confused about the size of your objects. You earlier said they were [128,128] which we took to mean 128 x 128 matrices, they are far larger than that. I'm guessing that you are consuming all of your RAM and paging out to disk. But that is just a guess since you provided none of the system information that the Posting Guide suggests. --David. > _______________________________ > From: R. Michael Weylandt <michael.weyla...@gmail.com> > > Cc: Paul Hiemstra <paul.hiems...@knmi.nl>; "R-help@r-project.org" > <R-help@r-project.org> > Sent: Monday, February 6, 2012 3:39 PM > Subject: Re: [R] R enterprise for linux > > Are you sure? > > I just ran > > N <- 128 > system.time(matrix(rnorm(N^2),N) %*% matrix(rnorm(N^2),N)) > > and it took less than 0.044s on my (old-ish) laptop while doing other > things (and that includes the expensive rng calls). There might be > some other issues in play here. Even N <- 1280 takes < 5 seconds with > the rng call. > > Michael > > >> Actually, I would like to speed up matrix multiplication >> >> which is really too slow. >> MatrixA %*% MatrixB (each one is a [128,128] table) is running four hours >> now... and just imagine that I want to calculate many of those. >> >> Which other alternative do I have? >> >> Regards >> Alex >> >> >> ________________________________ >> From: Paul Hiemstra <paul.hiems...@knmi.nl> >> >> Cc: "R-help@r-project.org" <R-help@r-project.org> >> Sent: Monday, February 6, 2012 2:30 PM >> Subject: Re: [R] R enterprise for linux >> >> >> Dear Alex, >> >> By Enterprise R, do you mean Revolution R? I can also only find red >> hat packages. You could send them an e-mail to ask for sources. They >> probably want to help you, especially when you pay. But why do you >> need RevoR and not standard R. >> >> Paul >> >> On 02/06/2012 12:55 PM, Alaios wrote: >> Dear all, >> I would like to ask you if it would be possible to install R enterprise in >> opensuse. >> Actually it seems that there are only Red Hat packages and I was wondering >> if their source code is available so one to try and compile it. I would like >> to thank you in advance for your reply Regards >> Alex [[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. >> >> >> -- >> Paul Hiemstra, Ph.D. >> Global Climate Division >> Royal Netherlands Meteorological Institute (KNMI) >> Wilhelminalaan 10 | 3732 GK | De Bilt | Kamer B 3.39 >> P.O. Box 201 | 3730 AE | De Bilt >> tel: +31 30 2206 494 http://intamap.geo.uu.nl/~paul >> http://nl.linkedin.com/pub/paul-hiemstra/20/30b/770 >> [[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. >> > [[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. David Winsemius, MD West Hartford, CT [[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.
