David, You may run with option '-log_summary <log_file>' and check which function dominates the time. I suspect the symbolic factorization, because it is implemented sequentially in mumps.
If this is the case, you may swich to superlu_dist which supports parallel symbolic factorization in the latest release. Let us know what you get, Hong On Fri, 13 Mar 2009, David Fuentes wrote: > > The majority of time in my code is spent in the MatMatSolve. I'm running > MatMatSolve in parallel using Mumps as the factored matrix. > Using top, I've noticed that during the MatMatSolve > the majority of the load seems to be on the root process. > Is this expected? Or do I most likely have a problem with the matrices that > I'm passing in? > > > > thank you, > David Fuentes > >
