[petsc-users] strange convergence
Hoang Giang Bui
hgbk2008 at gmail.com
Mon Apr 24 03:16:33 CDT 2017
Thanks Barry, trying with -fieldsplit_u_type lu gives better convergence. I
still used 4 procs though, probably with 1 proc it should also be the same.
The u block used a Nitsche-type operator to connect two non-matching
domains. I don't think it will leave some rigid body motion leads to not
sufficient constraints. Maybe you have other idea?
Residual norms for fieldsplit_u_ solve.
0 KSP Residual norm 3.129067184300e+05
1 KSP Residual norm 5.906261468196e-01
Residual norms for fieldsplit_wp_ solve.
0 KSP Residual norm 0.000000000000e+00
0 KSP preconditioned resid norm 3.129067184300e+05 true resid norm
9.015150492169e+06 ||r(i)||/||b|| 1.000000000000e+00
Residual norms for fieldsplit_u_ solve.
0 KSP Residual norm 9.999955993437e-01
1 KSP Residual norm 4.019774691831e-06
Residual norms for fieldsplit_wp_ solve.
0 KSP Residual norm 0.000000000000e+00
1 KSP preconditioned resid norm 5.003913641475e-01 true resid norm
4.692996324114e+01 ||r(i)||/||b|| 5.205677185522e-06
Residual norms for fieldsplit_u_ solve.
0 KSP Residual norm 1.000012180204e+00
1 KSP Residual norm 1.017367950422e-05
Residual norms for fieldsplit_wp_ solve.
0 KSP Residual norm 0.000000000000e+00
2 KSP preconditioned resid norm 2.330910333756e-07 true resid norm
3.474855463983e+01 ||r(i)||/||b|| 3.854461960453e-06
Residual norms for fieldsplit_u_ solve.
0 KSP Residual norm 1.000004200085e+00
1 KSP Residual norm 6.231613102458e-06
Residual norms for fieldsplit_wp_ solve.
0 KSP Residual norm 0.000000000000e+00
3 KSP preconditioned resid norm 8.671259838389e-11 true resid norm
3.545103468011e+01 ||r(i)||/||b|| 3.932384125024e-06
Linear solve converged due to CONVERGED_ATOL iterations 3
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: richardson
Richardson: damping factor=1
maximum iterations=1, initial guess is zero
tolerances: relative=1e-05, absolute=1e-50, divergence=10000
left preconditioning
using PRECONDITIONED norm type for convergence test
PC Object: (fieldsplit_u_) 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=938910, cols=938910
package used to perform factorization: pastix
total: nonzeros=0, allocated nonzeros=0
Error : 3.36878e-14
total number of mallocs used during MatSetValues calls =0
PaStiX run parameters:
Matrix type : Unsymmetric
Level of printing (0,1,2): 0
Number of refinements iterations : 3
Error : 3.36878e-14
linear system matrix = precond matrix:
Mat Object: (fieldsplit_u_) 4 MPI processes
type: mpiaij
rows=938910, cols=938910, bs=3
Error : 3.36878e-14
Error : 3.36878e-14
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: richardson
Richardson: damping factor=1
maximum iterations=1, initial guess is zero
tolerances: relative=1e-05, absolute=1e-50, divergence=10000
left preconditioning
using PRECONDITIONED 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
Error : -nan
total: nonzeros=0, allocated nonzeros=0
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
Giang
On Sun, Apr 23, 2017 at 10:19 PM, Barry Smith <bsmith at mcs.anl.gov> wrote:
>
> > On Apr 23, 2017, at 2:42 PM, Hoang Giang Bui <hgbk2008 at gmail.com> wrote:
> >
> > 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
>
> It looks like Matt is right, hypre is seemly producing useless garbage.
>
> First how do things run on one process. If you have similar problems then
> debug on one process (debugging any kind of problem is always far easy on
> one process).
>
> First run with -fieldsplit_u_type lu (instead of using hypre) to see if
> that works or also produces something bad.
>
> What is the operator and the boundary conditions for u? It could be
> singular.
>
>
>
>
>
>
> > 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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