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 <dwinsemius@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 <msuzen@gmail.com> wrote:
> >
> >> On 14 January 2013 15:08, Cyrus Shaoul <cyrus.shaoul@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/

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