Is there a way to use Trilinos with windows? PyTrilinos doesn't seem to be compatible. When I tried to install Fipy with Trilinos on OSX, I can't seem to run anything since even python -c "from fipy import *; fipy.test()" gives an AttributeError and in the diffusion/mesh1D.py file, it gives a NameError (doesn't recognize Grid1D)
On Thu, Jan 16, 2014 at 7:30 PM, Guyer, Jonathan E. Dr. < jonathan.gu...@nist.gov> wrote: > My tests show the coupled variant is actually faster (with Trilinos). > > As mentioned in ticket 658, the PySparse LU solver uses a lot of memory > for this problem (it always uses a lot, but it's particularly high here). > It's generally quite fast, but if it needs a substantial fraction of the > RAM on your machine, then virtual memory "thrashing" can ensue, which is > enormously slow. There's little point in running a simulation under these > conditions. > > On Jan 16, 2014, at 2:21 PM, Jane Hung <jyh...@mit.edu> > wrote: > > > I'm using PySparse > > > > On Jan 15, 2014, at 10:27 PM, Guyer, Jonathan E. Dr. < > jonathan.gu...@nist.gov> wrote: > > > > > On Jan 14, 2014, at 2:05 PM, Jane Hung <jyh...@mit.edu> wrote: > > > > > >> The vector formulation is still rather slow (much much slower than > with just one equation). Is that expected? > > > > > > > > > I'm not sure. We'll do some tests. > > > > > > What solver suite are you using? PySparse or Trilinos? > > > > > > _______________________________________________ > > > fipy mailing list > > > fipy@nist.gov > > > http://www.ctcms.nist.gov/fipy > > > [ NIST internal ONLY: https://email.nist.gov/mailman/listinfo/fipy ] > > > > _______________________________________________ > > fipy mailing list > > fipy@nist.gov > > http://www.ctcms.nist.gov/fipy > > [ NIST internal ONLY: https://email.nist.gov/mailman/listinfo/fipy ] > > > _______________________________________________ > fipy mailing list > fipy@nist.gov > http://www.ctcms.nist.gov/fipy > [ NIST internal ONLY: https://email.nist.gov/mailman/listinfo/fipy ] > -- Jane Hung Graduate Student | MIT Department of Chemical Engineering Hatton Lab 66-325 | Doyle Lab E18-509 jyh...@mit.edu | 415.952.6325
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