Run your code with '-eps_view -ksp_view' for checking which methods are used and '-log_summary' to see which operations dominate the computation.
You can turn on parallel symbolic factorization with '-mat_superlu_dist_parsymbfact'. Unless you use large num of processors, symbolic factorization takes ignorable execution time. The numeric factorization usually dominates. Hong On Fri, 8 May 2009, Fredrik Bengzon wrote: > Hi Petsc team, > Sorry for posting questions not really concerning the petsc core, but when I > run superlu_dist from within slepc I notice that the load balance is poor. It > is just fine during assembly (I use Metis to partition my finite element > mesh) but when calling the slepc solver it dramatically changes. I use > superlu_dist as solver for the eigenvalue iteration. My question is: can this > have something to do with the fact that the option 'Parallel symbolic > factorization' is set to false? If so, can I change the options to > superlu_dist using MatSetOption for instance? Also, does this mean that > superlu_dist is not using parmetis to reorder the matrix? > Best Regards, > Fredrik Bengzon > >
