[petsc-users] strange convergence

Hoang Giang Bui hgbk2008 at gmail.com
Sun Apr 23 14:42:09 CDT 2017


Dear Matt/Barry

With your options, it results in

  0 KSP preconditioned resid norm 1.106709687386e+31 true resid norm
9.015150491938e+06 ||r(i)||/||b|| 1.000000000000e+00
    Residual norms for fieldsplit_u_ solve.
    0 KSP Residual norm 2.407308987203e+36
    1 KSP Residual norm 5.797185652683e+72
    Residual norms for fieldsplit_wp_ solve.
    0 KSP Residual norm 0.000000000000e+00
...
999 KSP preconditioned resid norm 2.920157329174e+12 true resid norm
9.015683504616e+06 ||r(i)||/||b|| 1.000059124102e+00
    Residual norms for fieldsplit_u_ solve.
    0 KSP Residual norm 1.533726746719e+36
    1 KSP Residual norm 3.692757392261e+72
    Residual norms for fieldsplit_wp_ solve.
    0 KSP Residual norm 0.000000000000e+00

Do you suggest that the pastix solver for the "wp" block encounters small
pivot? In addition, seem like the "u" block is also singular.

Giang

On Sun, Apr 23, 2017 at 7:39 PM, Barry Smith <bsmith at mcs.anl.gov> wrote:

>
>    Huge preconditioned norms but normal unpreconditioned norms almost
> always come from a very small pivot in an LU or ILU factorization.
>
>    The first thing to do is monitor the two sub solves. Run with the
> additional options -fieldsplit_u_ksp_type richardson
> -fieldsplit_u_ksp_monitor -fieldsplit_u_ksp_max_it 1
> -fieldsplit_wp_ksp_type richardson -fieldsplit_wp_ksp_monitor
> -fieldsplit_wp_ksp_max_it 1
>
> > On Apr 23, 2017, at 12:22 PM, Hoang Giang Bui <hgbk2008 at gmail.com>
> wrote:
> >
> > Hello
> >
> > I encountered a strange convergence behavior that I have trouble to
> understand
> >
> > KSPSetFromOptions completed
> >   0 KSP preconditioned resid norm 1.106709687386e+31 true resid norm
> 9.015150491938e+06 ||r(i)||/||b|| 1.000000000000e+00
> >   1 KSP preconditioned resid norm 2.933141742664e+29 true resid norm
> 9.015152282123e+06 ||r(i)||/||b|| 1.000000198575e+00
> >   2 KSP preconditioned resid norm 9.686409637174e+16 true resid norm
> 9.015354521944e+06 ||r(i)||/||b|| 1.000022631902e+00
> >   3 KSP preconditioned resid norm 4.219243615809e+15 true resid norm
> 9.017157702420e+06 ||r(i)||/||b|| 1.000222648583e+00
> > .....
> > 999 KSP preconditioned resid norm 3.043754298076e+12 true resid norm
> 9.015425041089e+06 ||r(i)||/||b|| 1.000030454195e+00
> > 1000 KSP preconditioned resid norm 3.043000287819e+12 true resid norm
> 9.015424313455e+06 ||r(i)||/||b|| 1.000030373483e+00
> > Linear solve did not converge due to DIVERGED_ITS iterations 1000
> > KSP Object: 4 MPI processes
> >   type: gmres
> >     GMRES: restart=1000, using Modified Gram-Schmidt Orthogonalization
> >     GMRES: happy breakdown tolerance 1e-30
> >   maximum iterations=1000, initial guess is zero
> >   tolerances:  relative=1e-20, absolute=1e-09, divergence=10000
> >   left preconditioning
> >   using PRECONDITIONED norm type for convergence test
> > PC Object: 4 MPI processes
> >   type: fieldsplit
> >     FieldSplit with MULTIPLICATIVE composition: total splits = 2
> >     Solver info for each split is in the following KSP objects:
> >     Split number 0 Defined by IS
> >     KSP Object:    (fieldsplit_u_)     4 MPI processes
> >       type: preonly
> >       maximum iterations=10000, initial guess is zero
> >       tolerances:  relative=1e-05, absolute=1e-50, divergence=10000
> >       left preconditioning
> >       using NONE norm type for convergence test
> >     PC Object:    (fieldsplit_u_)     4 MPI processes
> >       type: hypre
> >         HYPRE BoomerAMG preconditioning
> >         HYPRE BoomerAMG: Cycle type V
> >         HYPRE BoomerAMG: Maximum number of levels 25
> >         HYPRE BoomerAMG: Maximum number of iterations PER hypre call 1
> >         HYPRE BoomerAMG: Convergence tolerance PER hypre call 0
> >         HYPRE BoomerAMG: Threshold for strong coupling 0.6
> >         HYPRE BoomerAMG: Interpolation truncation factor 0
> >         HYPRE BoomerAMG: Interpolation: max elements per row 0
> >         HYPRE BoomerAMG: Number of levels of aggressive coarsening 0
> >         HYPRE BoomerAMG: Number of paths for aggressive coarsening 1
> >         HYPRE BoomerAMG: Maximum row sums 0.9
> >         HYPRE BoomerAMG: Sweeps down         1
> >         HYPRE BoomerAMG: Sweeps up           1
> >         HYPRE BoomerAMG: Sweeps on coarse    1
> >         HYPRE BoomerAMG: Relax down          symmetric-SOR/Jacobi
> >         HYPRE BoomerAMG: Relax up            symmetric-SOR/Jacobi
> >         HYPRE BoomerAMG: Relax on coarse     Gaussian-elimination
> >         HYPRE BoomerAMG: Relax weight  (all)      1
> >         HYPRE BoomerAMG: Outer relax weight (all) 1
> >         HYPRE BoomerAMG: Using CF-relaxation
> >         HYPRE BoomerAMG: Measure type        local
> >         HYPRE BoomerAMG: Coarsen type        PMIS
> >         HYPRE BoomerAMG: Interpolation type  classical
> >       linear system matrix = precond matrix:
> >       Mat Object:      (fieldsplit_u_)       4 MPI processes
> >         type: mpiaij
> >         rows=938910, cols=938910, bs=3
> >         total: nonzeros=8.60906e+07, allocated nonzeros=8.60906e+07
> >         total number of mallocs used during MatSetValues calls =0
> >           using I-node (on process 0) routines: found 78749 nodes, limit
> used is 5
> >     Split number 1 Defined by IS
> >     KSP Object:    (fieldsplit_wp_)     4 MPI processes
> >       type: preonly
> >       maximum iterations=10000, initial guess is zero
> >       tolerances:  relative=1e-05, absolute=1e-50, divergence=10000
> >       left preconditioning
> >       using NONE norm type for convergence test
> >     PC Object:    (fieldsplit_wp_)     4 MPI processes
> >       type: lu
> >         LU: out-of-place factorization
> >         tolerance for zero pivot 2.22045e-14
> >         matrix ordering: natural
> >         factor fill ratio given 0, needed 0
> >           Factored matrix follows:
> >             Mat Object:             4 MPI processes
> >               type: mpiaij
> >               rows=34141, cols=34141
> >               package used to perform factorization: pastix
> >             Error :                        -nan
> >   Error :                        -nan
> >     total: nonzeros=0, allocated nonzeros=0
> >             Error :                        -nan
> >     total number of mallocs used during MatSetValues calls =0
> >                 PaStiX run parameters:
> >                   Matrix type :                      Symmetric
> >                   Level of printing (0,1,2):         0
> >                   Number of refinements iterations : 0
> >   Error :                        -nan
> >       linear system matrix = precond matrix:
> >       Mat Object:      (fieldsplit_wp_)       4 MPI processes
> >         type: mpiaij
> >         rows=34141, cols=34141
> >         total: nonzeros=485655, allocated nonzeros=485655
> >         total number of mallocs used during MatSetValues calls =0
> >           not using I-node (on process 0) routines
> >   linear system matrix = precond matrix:
> >   Mat Object:   4 MPI processes
> >     type: mpiaij
> >     rows=973051, cols=973051
> >     total: nonzeros=9.90037e+07, allocated nonzeros=9.90037e+07
> >     total number of mallocs used during MatSetValues calls =0
> >       using I-node (on process 0) routines: found 78749 nodes, limit
> used is 5
> >
> > The pattern of convergence gives a hint that this system is somehow
> bad/singular. But I don't know why the preconditioned error goes up too
> high. Anyone has an idea?
> >
> > Best regards
> > Giang Bui
> >
>
>
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