This suite has been good for my solid mechanics solvers. (It's written here as a coarse grid solver because we do matrix-free p-MG first, but you can use it directly.)
https://github.com/hypre-space/hypre/issues/601#issuecomment-1069426997 Blaise Bourdin <bour...@mcmaster.ca> writes: > On Mar 27, 2023, at 9:11 PM, Mark Adams <mfad...@lbl.gov> wrote: > > Yes, the eigen estimates are converging slowly. > > BTW, have you tried hypre? It is a good solver (lots lots more woman years) > These eigen estimates are conceptually simple, but they can lead to problems > like this (hypre and an eigen estimate free > smoother). > > I just moved from petsc 3.3 to main, so my experience with an old version of > hyper has not been very convincing. Strangely > enough, ML has always been the most efficient PC for me. Maybe it’s time to > revisit. > That said, I would really like to get decent performances out of gamg. One > day, I’d like to be able to account for the special structure > of phase-field fracture in the construction of the coarse space. > > But try this (good to have options anyway): > > -pc_gamg_esteig_ksp_max_it 20 > > Chevy will scale the estimate that we give by, I think, 5% by default. Maybe > 10. > You can set that with: > > -mg_levels_ksp_chebyshev_esteig 0,0.2,0,1.05 > > 0.2 is the scaling of the high eigen estimate for the low eigen value in > Chebyshev. > > Jed’s suggestion of using -pc_gamg_reuse_interpolation 0 worked. I am testing > your options at the moment. > > Thanks a lot, > > Blaise > > — > Canada Research Chair in Mathematical and Computational Aspects of Solid > Mechanics (Tier 1) > Professor, Department of Mathematics & Statistics > Hamilton Hall room 409A, McMaster University > 1280 Main Street West, Hamilton, Ontario L8S 4K1, Canada > https://www.math.mcmaster.ca/bourdin | +1 (905) 525 9140 ext. 27243
