ginv / LAPACK-SVD causes R to segfault on a large matrix.
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 at gmail.com> wrote: > >> On 14 January 2013 15:08, Cyrus Shaoul <cyrus.shaoul at 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