Something is wrong, you should be getting better convergence. Please answer my other email.
On Oct 2, 2013, at 1:10 PM, Michele Rosso <[email protected]> wrote: > Thank you all for your contribution. > So far the fastest solution is still the initial one proposed by Jed in an > earlier round: > > -ksp_atol 1e-9 -ksp_monitor_true_residual -ksp_view -log_summary > -mg_coarse_pc_factor_mat_solver_package superlu_dist > -mg_coarse_pc_type lu -mg_levels_ksp_max_it 3 -mg_levels_ksp_type > richardson -options_left -pc_mg_galerkin > -pc_mg_levels 5 -pc_mg_log -pc_type mg > > where I used -mg_levels_ksp_max_it 3 as Barry suggested instead of > -mg_levels_ksp_max_it 1. > I attached the diagnostics for this case. Any further idea? > Thank you, > > Michele > > > On 10/01/2013 11:44 PM, Barry Smith wrote: >> On Oct 2, 2013, at 12:28 AM, Jed Brown <[email protected]> wrote: >> >>> "Mark F. Adams" <[email protected]> writes: >>>> run3.txt uses: >>>> >>>> -ksp_type richardson >>>> >>>> This is bad and I doubt anyone recommended it intentionally. >> Hell this is normal multigrid without a Krylov accelerator. Under normal >> circumstances with geometric multigrid this should be fine, often the best >> choice. >> >>> I would have expected FGMRES, but Barry likes Krylov smoothers and >>> Richardson is one of a few methods that can tolerate nonlinear >>> preconditioners. >>> >>>> You also have, in this file, >>>> >>>> -mg_levels_ksp_type gmres >>>> >>>> did you or the recommenders mean >>>> >>>> -mg_levels_ksp_type richardson ??? >>>> >>>> you are using gmres here, which forces you to use fgmres in the outer >>>> solver. This is a safe thing to use you if you apply your BCa >>>> symmetrically with a low order discretization then >>>> >>>> -ksp_type cg >>>> -mg_levels_ksp_type richardson >>>> -mg_levels_pc_type sor >>>> >>>> is what I'd recommend. >>> I thought that was tried in an earlier round. >>> >>> I don't understand why SOR preconditioning in the Krylov smoother is so >>> drastically more expensive than BJacobi/ILU and why SOR is called so >>> many more times even though the number of outer iterations >>> >>> bjacobi: PCApply 322 1.0 4.1021e+01 1.0 6.44e+09 1.0 3.0e+07 >>> 1.6e+03 4.5e+04 74 86 98 88 92 28160064317351226 20106 >>> bjacobi: KSPSolve 46 1.0 4.6268e+01 1.0 7.52e+09 1.0 3.0e+07 >>> 1.8e+03 4.8e+04 83100100 99 99 31670065158291309 20800 >>> >>> sor: PCApply 1132 1.0 1.5532e+02 1.0 2.30e+10 1.0 1.0e+08 >>> 1.6e+03 1.6e+05 69 88 99 88 93 21871774317301274 18987 >>> sor: KSPSolve 201 1.0 1.7101e+02 1.0 2.63e+10 1.0 1.1e+08 >>> 1.8e+03 1.7e+05 75100100 99 98 24081775248221352 19652 >> > > <best.txt>
