Thanks for trying it out, David. Unfortunately it isn't reproducible with a machine with 64 Gb of RAM or more.
Yours, Cyrus On Mon, Jan 14, 2013 at 8:25 PM, David Winsemius <dwinsem...@comcast.net>wrote: > > On Jan 14, 2013, at 9:07 AM, Cyrus Shaoul wrote: > > > No, Mehmet, I haven't tried that yet. I was hoping to find out if there > was > > some other option. I have no experience using LAPACK directly. I have > > looked into RcppEigen and RcppArmadillo, but have not tested them yet. > > > > If there are no other options, I guess I will go down that path. > > I tried it on a 64 bit R with 32GB of RAM. It exhausted those resources > and started paging out into virtual memory. No error, but I killed the > process. > > -- > David. > > > > > Thanks a lot, > > > > Cyrus > > > > > > On Mon, Jan 14, 2013 at 4:17 PM, Suzen, Mehmet <msu...@gmail.com> wrote: > > > >> On 14 January 2013 15:08, Cyrus Shaoul <cyrus.sha...@uni-tuebingen.de> > >> wrote: > >>> La.svd > >> > >> Dear Cyrus, > >> > >> Have you tried running La.svd ; LAPACK only version (without R) via > >> C/C++ or Fortran code? After all it can be a > >> LAPACK issue and R-team has no control on that. > > > > > David Winsemius > Alameda, CA, USA > > -- Cyrus Shaoul, PhD http://www.sfs.uni-tuebingen.de/~cshaoul/ [[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.
