Can you explain why you feel you must invert a very large matrix. This can be a Bad Idea.
On 10/03/2015 08:09 PM, go canal wrote: > oh, it is so unfortunate that the first step of my project requires > the inversion of a very large matrix. will have to revert back to > scalapack or MR based solutions I guess. thanks, canal > > > On Saturday, October 3, 2015 11:31 PM, Ted Dunning > <ted.dunn...@gmail.com> wrote: > > > I doubt seriously that Samsara will support matrix inversion per se. > The problem is > > a) it densifies sparse matrices > > b) it is much more costly than solving a linear system > > Samsara is roughly memory based, but different back-ends will try to > spill to disk if necessary. It is likely that the resulting > degradation in performance would be dramatic and thus unacceptable to > most users. > > > > On Fri, Oct 2, 2015 at 8:47 PM, go canal <goca...@yahoo.com.invalid> > wrote: > >> HiI saw some distributed matrix functions included in Samsara now. >> Wondering if we have a plan to support matrix inversion ?BTW, am I >> correct that it is distributed memory based, not out-of-core ? >> thanks, canal > > > >
