[petsc-dev] Using PCFieldSplitSetIS

Thomas Witkowski thomas.witkowski at tu-dresden.de
Fri Mar 18 06:23:05 CDT 2011


Barry Smith wrote:
>    Did you get a chance to run as I requested with "Please run with -ksp_view and send the output."
>
>   
Yes, the problem with the second iteration occurs only when I make use 
of bcgs for the outer iteration (which is set in my code as the standard 
solver). When using richardson or gmres, I get the expected output. Here 
is the output for -ksp_type bcgs and -ksp_view

        Residual norms for fieldsplit_boundary_ solve.
    0 KSP Residual norm 1.238748554482e+02
    1 KSP Residual norm 1.712708691574e+01
    2 KSP Residual norm 5.537715643639e+00
    3 KSP Residual norm 2.767431394864e+00
    4 KSP Residual norm 2.308410861046e+00
    5 KSP Residual norm 1.225474327957e+00
    6 KSP Residual norm 4.705888493777e-01
    7 KSP Residual norm 4.476449896581e-01
    8 KSP Residual norm 1.859190943730e-01
    9 KSP Residual norm 9.038347953900e-02
   10 KSP Residual norm 7.545891428899e-02
   11 KSP Residual norm 4.046165237615e-02
   12 KSP Residual norm 1.499755811468e-02
   13 KSP Residual norm 1.100288579779e-02
   14 KSP Residual norm 4.530437449505e-03
   15 KSP Residual norm 2.511112676997e-03
   16 KSP Residual norm 1.425956836799e-03
   17 KSP Residual norm 1.008189124008e-03
   18 KSP Residual norm 4.759971096889e-04
   19 KSP Residual norm 2.418445744584e-04
   20 KSP Residual norm 1.345530122184e-04
   21 KSP Residual norm 6.618130426631e-05
   22 KSP Residual norm 3.502075214549e-05
   23 KSP Residual norm 2.093145547362e-05
   24 KSP Residual norm 1.426936785120e-05
   25 KSP Residual norm 6.716866486925e-06
   26 KSP Residual norm 2.938650130672e-06
   27 KSP Residual norm 1.194333200607e-06
   28 KSP Residual norm 8.117544753927e-07
   29 KSP Residual norm 4.436526804864e-07
   30 KSP Residual norm 2.619889310859e-07
   31 KSP Residual norm 2.608365614137e-07
   32 KSP Residual norm 2.502840136682e-07
   33 KSP Residual norm 2.108068726014e-07
   34 KSP Residual norm 1.190606661068e-07
   35 KSP Residual norm 8.587022449664e-08
   36 KSP Residual norm 2.657505256794e-08
   37 KSP Residual norm 1.091795047578e-08
   38 KSP Residual norm 5.622627482150e-09
  Linear solve converged due to CONVERGED_ATOL iterations 38
  0 KSP preconditioned resid norm 1.039480141214e+02 true resid norm 
2.318397033201e+03 ||r(i)||/||b|| 1.000000000000e+00
    Residual norms for fieldsplit_boundary_ solve.
    0 KSP Residual norm 1.238748554488e+02
    1 KSP Residual norm 1.712708691920e+01
    2 KSP Residual norm 5.537715644318e+00
    3 KSP Residual norm 2.767431394929e+00
    4 KSP Residual norm 2.308410861005e+00
    5 KSP Residual norm 1.225474328165e+00
    6 KSP Residual norm 4.705888492572e-01
    7 KSP Residual norm 4.476449894826e-01
    8 KSP Residual norm 1.859190943717e-01
    9 KSP Residual norm 9.038347954447e-02
   10 KSP Residual norm 7.545891428241e-02
   11 KSP Residual norm 4.046165236351e-02
   12 KSP Residual norm 1.499755811079e-02
   13 KSP Residual norm 1.100288580023e-02
   14 KSP Residual norm 4.530437448754e-03
   15 KSP Residual norm 2.511112675547e-03
   16 KSP Residual norm 1.425956832972e-03
   17 KSP Residual norm 1.008189121211e-03
   18 KSP Residual norm 4.759971083063e-04
   19 KSP Residual norm 2.418445729000e-04
   20 KSP Residual norm 1.345530095639e-04
   21 KSP Residual norm 6.618130177611e-05
   22 KSP Residual norm 3.502074795980e-05
   23 KSP Residual norm 2.093145116748e-05
   24 KSP Residual norm 1.426936277614e-05
   25 KSP Residual norm 6.716863232176e-06
   26 KSP Residual norm 2.938647588875e-06
   27 KSP Residual norm 1.194330143586e-06
   28 KSP Residual norm 8.117422448346e-07
   29 KSP Residual norm 4.436425441849e-07
   30 KSP Residual norm 2.619889078643e-07
   31 KSP Residual norm 2.608368186135e-07
   32 KSP Residual norm 2.502849238080e-07
   33 KSP Residual norm 2.108123763958e-07
   34 KSP Residual norm 1.190912989234e-07
   35 KSP Residual norm 8.589705060827e-08
   36 KSP Residual norm 2.657654667253e-08
   37 KSP Residual norm 1.091743530704e-08
   38 KSP Residual norm 5.623018769513e-09
  Linear solve converged due to CONVERGED_ATOL iterations 38
    Residual norms for fieldsplit_boundary_ solve.
    0 KSP Residual norm 5.628142396422e-09
  Linear solve converged due to CONVERGED_ATOL iterations 0
  1 KSP preconditioned resid norm 2.834168769772e-08 true resid norm 
5.737810813629e-09 ||r(i)||/||b|| 2.474904311669e-12
    Residual norms for fieldsplit_boundary_ solve.
    0 KSP Residual norm 5.626350752150e-09
  Linear solve converged due to CONVERGED_ATOL iterations 0
    Residual norms for fieldsplit_boundary_ solve.
    0 KSP Residual norm 5.628142396422e-09
  Linear solve converged due to CONVERGED_ATOL iterations 0
  2 KSP preconditioned resid norm 2.834287716574e-08 true resid norm 
1.921317696012e-06 ||r(i)||/||b|| 8.287267747921e-10
    Residual norms for fieldsplit_boundary_ solve.
    0 KSP Residual norm 6.360593934279e-07
    1 KSP Residual norm 6.207657513778e-07
    2 KSP Residual norm 4.595521952584e-07
    3 KSP Residual norm 2.353791066544e-07
    4 KSP Residual norm 1.659055771510e-07
    5 KSP Residual norm 1.057381480368e-07
    6 KSP Residual norm 2.733159212163e-08
    7 KSP Residual norm 1.685966550943e-08
    8 KSP Residual norm 5.250226264235e-09
  Linear solve converged due to CONVERGED_ATOL iterations 8
    Residual norms for fieldsplit_boundary_ solve.
    0 KSP Residual norm 5.314638497757e-10
  Linear solve converged due to CONVERGED_ATOL iterations 0
  3 KSP preconditioned resid norm 2.418607617684e-09 true resid norm 
1.943729846844e-06 ||r(i)||/||b|| 8.383938639538e-10
KSP Object:
  type: bcgs
  maximum iterations=10000, initial guess is zero
  tolerances:  relative=0, absolute=1e-08, divergence=10000
  left preconditioning
  using PRECONDITIONED norm type for convergence test
PC Object:
  type: fieldsplit
    FieldSplit with Schur preconditioner, blocksize = -1, factorization FULL
    Split info:
    Split number 0 Defined by IS
    Split number 1 Defined by IS
    KSP solver for A00 block
      KSP Object:      (fieldsplit_interior_)     
        type: preonly
        maximum iterations=10000, 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_interior_)     
        type: bjacobi
          block Jacobi: number of blocks = 2
          Local solve is same for all blocks, in the following KSP and 
PC objects:
        KSP Object:        (fieldsplit_interior_sub_)       
          type: preonly
          maximum iterations=10000, 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_interior_sub_)       
          type: lu
            LU: out-of-place factorization
            tolerance for zero pivot 1e-12
            matrix ordering: nd
            factor fill ratio given 0, needed 0
              Factored matrix follows:
                Matrix Object:               
                  type: seqaij
                  rows=12336, cols=12336
                  package used to perform factorization: umfpack
                  total: nonzeros=0, allocated nonzeros=0
                  total number of mallocs used during MatSetValues calls =0
                    not using I-node routines
                    UMFPACK run parameters:
                      Control[UMFPACK_PRL]: 1
                      Control[UMFPACK_STRATEGY]: 0
                      Control[UMFPACK_DENSE_COL]: 0.2
                      Control[UMFPACK_DENSE_ROW]: 0.2
                      Control[UMFPACK_AMD_DENSE]: 10
                      Control[UMFPACK_BLOCK_SIZE]: 32
                      Control[UMFPACK_2BY2_TOLERANCE]: 0.01
                      Control[UMFPACK_FIXQ]: 0
                      Control[UMFPACK_AGGRESSIVE]: 1
                      Control[UMFPACK_PIVOT_TOLERANCE]: 0.1
                      Control[UMFPACK_SYM_PIVOT_TOLERANCE]: 0.001
                      Control[UMFPACK_SCALE]: 1
                      Control[UMFPACK_ALLOC_INIT]: 0.7
                      Control[UMFPACK_DROPTOL]: 0
                      Control[UMFPACK_IRSTEP]: 0
                      UMFPACK default matrix ordering is used (not the 
PETSc matrix ordering)
          linear system matrix = precond matrix:
          Matrix Object:         
            type: seqaij
            rows=12336, cols=12336
            total: nonzeros=173608, allocated nonzeros=173608
            total number of mallocs used during MatSetValues calls =0
              not using I-node routines
        linear system matrix = precond matrix:
        Matrix Object:       
          type: mpiaij
          rows=24672, cols=24672
          total: nonzeros=347216, allocated nonzeros=347216
          total number of mallocs used during MatSetValues calls =0
            not using I-node (on process 0) routines
    KSP solver for S = A11 - A10 inv(A00) A01
      KSP Object:      (fieldsplit_boundary_)     
        type: gmres
          GMRES: restart=30, using Classical (unmodified) Gram-Schmidt 
Orthogonalization with no iterative refinement
          GMRES: happy breakdown tolerance 1e-30
        maximum iterations=10000, initial guess is zero
        tolerances:  relative=1e-50, absolute=1e-08, divergence=10000
        left preconditioning
        using PRECONDITIONED norm type for convergence test
      PC Object:      (fieldsplit_boundary_)     
        type: bjacobi
          block Jacobi: number of blocks = 2
          Local solve is same for all blocks, in the following KSP and 
PC objects:
        KSP Object:        (fieldsplit_boundary_sub_)       
          type: preonly
          maximum iterations=10000, 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_boundary_sub_)       
          type: ilu
            ILU: out-of-place factorization
            0 levels of fill
            tolerance for zero pivot 1e-12
            using diagonal shift to prevent zero pivot
            matrix ordering: natural
            factor fill ratio given 1, needed 1
              Factored matrix follows:
                Matrix Object:               
                  type: seqaij
                  rows=0, cols=0
                  package used to perform factorization: petsc
                  total: nonzeros=0, allocated nonzeros=0
                  total number of mallocs used during MatSetValues calls =0
                    not using I-node routines
          linear system matrix = precond matrix:
          Matrix Object:         
            type: seqaij
            rows=0, cols=0
            total: nonzeros=0, allocated nonzeros=0
            total number of mallocs used during MatSetValues calls =0
              not using I-node routines
        linear system matrix followed by preconditioner matrix:
        Matrix Object:       
          type: schurcomplement
          rows=291, cols=291
            Schur complement A11 - A10 inv(A00) A01
            A11
              Matrix Object:             
                type: mpiaij
                rows=291, cols=291
                total: nonzeros=1831, allocated nonzeros=1831
                total number of mallocs used during MatSetValues calls =0
                  not using I-node (on process 0) routines
            A10
              Matrix Object:             
                type: mpiaij
                rows=291, cols=24672
                total: nonzeros=2568, allocated nonzeros=2568
                total number of mallocs used during MatSetValues calls =0
                  not using I-node (on process 0) routines
            KSP of A00
              KSP Object:              (fieldsplit_interior_)             
                type: preonly
                maximum iterations=10000, 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_interior_)             
                type: bjacobi
                  block Jacobi: number of blocks = 2
                  Local solve is same for all blocks, in the following 
KSP and PC objects:
                KSP Object:                
(fieldsplit_interior_sub_)               
                  type: preonly
                  maximum iterations=10000, 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_interior_sub_)               
                  type: lu
                    LU: out-of-place factorization
                    tolerance for zero pivot 1e-12
                    matrix ordering: nd
                    factor fill ratio given 0, needed 0
                      Factored matrix follows:
                        Matrix Object:                       
                          type: seqaij
                          rows=12336, cols=12336
                          package used to perform factorization: umfpack
                          total: nonzeros=0, allocated nonzeros=0
                          total number of mallocs used during 
MatSetValues calls =0
                            not using I-node routines
                            UMFPACK run parameters:
                              Control[UMFPACK_PRL]: 1
                              Control[UMFPACK_STRATEGY]: 0
                              Control[UMFPACK_DENSE_COL]: 0.2
                              Control[UMFPACK_DENSE_ROW]: 0.2
                              Control[UMFPACK_AMD_DENSE]: 10
                              Control[UMFPACK_BLOCK_SIZE]: 32
                              Control[UMFPACK_2BY2_TOLERANCE]: 0.01
                              Control[UMFPACK_FIXQ]: 0
                              Control[UMFPACK_AGGRESSIVE]: 1
                              Control[UMFPACK_PIVOT_TOLERANCE]: 0.1
                              Control[UMFPACK_SYM_PIVOT_TOLERANCE]: 0.001
                              Control[UMFPACK_SCALE]: 1
                              Control[UMFPACK_ALLOC_INIT]: 0.7
                              Control[UMFPACK_DROPTOL]: 0
                              Control[UMFPACK_IRSTEP]: 0
                              UMFPACK default matrix ordering is used 
(not the PETSc matrix ordering)
                  linear system matrix = precond matrix:
                  Matrix Object:                 
                    type: seqaij
                    rows=12336, cols=12336
                    total: nonzeros=173608, allocated nonzeros=173608
                    total number of mallocs used during MatSetValues 
calls =0
                      not using I-node routines
                linear system matrix = precond matrix:
                Matrix Object:               
                  type: mpiaij
                  rows=24672, cols=24672
                  total: nonzeros=347216, allocated nonzeros=347216
                  total number of mallocs used during MatSetValues calls =0
                    not using I-node (on process 0) routines
            A01
              Matrix Object:             
                type: mpiaij
                rows=24672, cols=291
                total: nonzeros=2568, allocated nonzeros=2568
                total number of mallocs used during MatSetValues calls =0
                  using I-node (on process 0) routines: found 2468 
nodes, limit used is 5
        Matrix Object:       
          type: mpiaij
          rows=291, cols=291
          total: nonzeros=1831, allocated nonzeros=1831
          total number of mallocs used during MatSetValues calls =0
            not using I-node (on process 0) routines
  linear system matrix = precond matrix:
  Matrix Object: 
    type: mpiaij
    rows=24963, cols=24963
    total: nonzeros=354183, allocated nonzeros=356014
    total number of mallocs used during MatSetValues calls =0
      not using I-node (on process 0) routines


Thomas

>    We are eager to determine the problem.
>
>    Barry
>   
>
> On Mar 16, 2011, at 11:03 AM, Barry Smith wrote:
>
>   
>> On Mar 16, 2011, at 8:57 AM, Thomas Witkowski wrote:
>>
>> -pc_fieldsplit_type schur -fieldsplit_interior_ksp_type preonly -fieldsplit_interior_pc_type bjacobi -fieldsplit_interior_sub_pc_type lu -fieldsplit_boundary_ksp_monitor -ksp_monitor_true_residual 
>>
>>
>>     
>>>  Residual norms for fieldsplit_boundary_ solve.
>>>  0 KSP Residual norm 1.790059331071e-04
>>> .....
>>> 18 KSP Residual norm 1.593454221996e-09
>>> 0 KSP preconditioned resid norm 5.745043818120e-01 true resid norm 1.584249437360e-01 ||r(i)||/||b|| 1.000000000000e+00  
>>>       
>>        This is the norms on the outer iteration variables
>>     
>>>  Residual norms for fieldsplit_boundary_ solve.
>>>  0 KSP Residual norm 1.790059331000e-04
>>>       
>>        This is the norms on the Schur complement iteration
>>     
>>> ....
>>> 18 KSP Residual norm 1.593449602302e-09
>>>       
>>    It is unclear to me why it starts up another solve here, starting basically where it left off. I think it should just kick out to print the norm of the residual of the outer iteration.
>>
>>     
>>>  Residual norms for fieldsplit_boundary_ solve.
>>>  0 KSP Residual norm 1.593449603155e-09
>>> ...
>>> 18 KSP Residual norm 1.335744434252e-14
>>> 1 KSP preconditioned resid norm 2.608069232839e-13 true resid norm 1.449869994655e-13 ||r(i)||/||b|| 9.151778504469e-13
>>>
>>>       
>> Are you running with petsc-dev?
>>
>> Please run with -ksp_view and send the output.
>>
>> When I run tutorials/multiphysics/mp.c with the options ./mp -couple -snes_monitor_short -pc_type fieldsplit -ksp_monitor -pc_fieldsplit_type schur -fieldsplit_ksp_monitor -fieldsplit_1_ksp_type fgmres -fieldsplit_0_ksp_type gmres   -snes_view I do not see the "double" iteration business. 
>>
>>   Barry
>>
>>
>>
>>     
>>> So, are there now two or one outer iterations?
>>>
>>> Thomas
>>>
>>>
>>>
>>>
>>> Matthew Knepley wrote:
>>>       
>>>> On Wed, Mar 16, 2011 at 8:27 AM, Thomas Witkowski <thomas.witkowski at tu-dresden.de <mailto:thomas.witkowski at tu-dresden.de>> wrote:
>>>>
>>>>   Jed Brown wrote:
>>>>
>>>>       On Wed, Mar 16, 2011 at 07:37, Thomas Witkowski
>>>>       <thomas.witkowski at tu-dresden.de
>>>>       <mailto:thomas.witkowski at tu-dresden.de>
>>>>       <mailto:thomas.witkowski at tu-dresden.de
>>>>       <mailto:thomas.witkowski at tu-dresden.de>>> wrote:
>>>>
>>>>          Thanks for explanations! It works fine in my code. But I
>>>>       have two
>>>>          questions about it, maybe you can help me with them:
>>>>          - To the first, is the LU factorization on block A_00 done
>>>>       only once?
>>>>
>>>>
>>>>       Yes, one way to confirm this is to run with -log_summary and
>>>>       check MatLUFactor{Sym,Num}.
>>>>                   - I have run the code with -fieldsplit_1_ksp_monitor to get
>>>>       some
>>>>          more information about the internal solves. I expected to get
>>>>          information about one iterative solver (for solving the Schur
>>>>          complement system), but I got three, all of them need around 20
>>>>          iterations for my example. Could you explain to me what is
>>>>          actually solved there?
>>>>
>>>>
>>>>       I'm going to guess that you still have an outer KSP that (in
>>>>       the global norm, rather than the partitioned norm used inside
>>>>       of splits) has a tighter tolerance, therefore it takes a few
>>>>       outer iterations. If you use loose inner tolerances then the
>>>>       preconditioner becomes nonlinear and you'll need to use FGMRES
>>>>       for the outer. When in doubt, run with -ksp_view and show us
>>>>       the results if you don't understand. Additionally, monitoring
>>>>       inner solves separately can be useful, e.g.
>>>>       -fieldsplit_0_ksp_converged_reason -fieldsplit_1_ksp_monitor
>>>>       -ksp_monitor_true_residual.
>>>>
>>>>   Okay, I run my code with the options "-pc_fieldsplit_type schur
>>>>   -fieldsplit_interior_ksp_type preonly -fieldsplit_interior_pc_type
>>>>   bjacobi -fieldsplit_interior_sub_pc_type lu
>>>>   -fieldsplit_boundary_ksp_monitor -ksp_monitor_true_residual
>>>>   -fieldsplit_interior_ksp_converged_reason". The splits are named
>>>>   "interior" and "boundary". The ksp output is as follows:
>>>>
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>     Residual norms for fieldsplit_boundary_ solve.
>>>>     0 KSP Residual norm 1.790059331071e-04
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>     1 KSP Residual norm 1.237356212928e-04
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>     2 KSP Residual norm 7.952220245101e-05
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>     3 KSP Residual norm 3.502858665398e-05
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>     4 KSP Residual norm 1.601085190129e-05
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>     5 KSP Residual norm 8.491161243057e-06
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>     6 KSP Residual norm 4.778227395989e-06
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>     7 KSP Residual norm 2.571919352633e-06
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>     8 KSP Residual norm 1.353979940120e-06
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>     9 KSP Residual norm 7.408377337496e-07
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>    10 KSP Residual norm 3.810694345834e-07
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>    11 KSP Residual norm 1.955889542056e-07
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>    12 KSP Residual norm 9.938906113920e-08
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>    13 KSP Residual norm 4.893445675773e-08
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>    14 KSP Residual norm 2.395128458062e-08
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>    15 KSP Residual norm 1.2464425896 <tel:1.2464425896>57e-08
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>    16 KSP Residual norm 6.316454504022e-09
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>    17 KSP Residual norm 3.088668836241e-09
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>    18 KSP Residual norm 1.593454221996e-09
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>   [0]  Petsc-Iteration 0: 0.574504
>>>>    0 KSP preconditioned resid norm 5.745043818120e-01 true resid
>>>>   norm 1.584249437360e-01 ||r(i)||/||b|| 1.000000000000e+00
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>     Residual norms for fieldsplit_boundary_ solve.
>>>>     0 KSP Residual norm 1.790059331000e-04
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>     1 KSP Residual norm 1.237356237744e-04
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>     2 KSP Residual norm 7.952220078415e-05
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>     3 KSP Residual norm 3.502859285561e-05
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>     4 KSP Residual norm 1.601086485810e-05
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>     5 KSP Residual norm 8.491169384185e-06
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>     6 KSP Residual norm 4.778229157872e-06
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>     7 KSP Residual norm 2.571917112191e-06
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>     8 KSP Residual norm 1.353977280183e-06
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>     9 KSP Residual norm 7.408352317360e-07
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>    10 KSP Residual norm 3.810710583336e-07
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>    11 KSP Residual norm 1.955898169394e-07
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>    12 KSP Residual norm 9.938892788465e-08
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>    13 KSP Residual norm 4.893428546840e-08
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>    14 KSP Residual norm 2.395120857135e-08
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>    15 KSP Residual norm 1.2464367927 <tel:1.2464367927>84e-08
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>    16 KSP Residual norm 6.316409779118e-09
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>    17 KSP Residual norm 3.088649355374e-09
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>    18 KSP Residual norm 1.593449602302e-09
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>     Residual norms for fieldsplit_boundary_ solve.
>>>>     0 KSP Residual norm 1.593449603155e-09
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>     1 KSP Residual norm 1.011857676662e-09
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>     2 KSP Residual norm 5.660892669788e-10
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>     3 KSP Residual norm 3.046799343903e-10
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>     4 KSP Residual norm 1.6004713993 <tel:1.6004713993>29e-10
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>     5 KSP Residual norm 8.083216601016e-11
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>     6 KSP Residual norm 4.308671648345e-11
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>     7 KSP Residual norm 2.381959817139e-11
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>     8 KSP Residual norm 1.264839790114e-11
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>     9 KSP Residual norm 6.435098853282e-12
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>    10 KSP Residual norm 3.184769579797e-12
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>    11 KSP Residual norm 1.5022019430 <tel:1.5022019430>16e-12
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>    12 KSP Residual norm 7.099486208425e-13
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>    13 KSP Residual norm 3.443222176388e-13
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>    14 KSP Residual norm 1.6478434989 <tel:1.6478434989>12e-13
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>    15 KSP Residual norm 8.208508173926e-14
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>    16 KSP Residual norm 4.376604355287e-14
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>    17 KSP Residual norm 2.596069152755e-14
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>    18 KSP Residual norm 1.335744434252e-14
>>>>     Linear solve converged due to CONVERGED_ITS iterations 1
>>>>    1 KSP preconditioned resid norm 2.608069232839e-13 true resid
>>>>   norm 1.449869994655e-13 ||r(i)||/||b|| 9.151778504469e-13
>>>>
>>>>   I have no idea how to interpret this output! Could you help me
>>>>   with it?
>>>>
>>>>
>>>> Get rid of -fieldsplit_interior_ksp_converged_reason. It is confusing things. Then you will see
>>>> the outer iteration and the inner boundary iteration which is indented.
>>>>
>>>>  Matt
>>>>
>>>>
>>>>   Thomas
>>>>
>>>>
>>>>
>>>>
>>>> -- 
>>>> What most experimenters take for granted before they begin their experiments is infinitely more interesting than any results to which their experiments lead.
>>>> -- Norbert Wiener
>>>>         
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