> System solved in 3664 iterations... 42.683 s

   The preconditioner is simply not up to the task it has been assigned.  This 
number of iterations is problematic.

    Have you tried -pc_type asm -sub_pc_type lu     If that works well you can 
try -pc_type asm -sub_pc_type ilu and see if that still works.  

   If the matrix is indeed symmetric positive definite you will want to use 
-ksp_type cg



    Barry


On Apr 26, 2011, at 1:37 AM, Alejandro Marcos Arag?n wrote:

> Hi all,
> 
> I'm using the standard configuration of the KSP solver, but the time it takes 
> to solve a large system of equations is increasing (because of the increasing 
> number of iterations?). These are my timing lines and the log from the KSP 
> solver in two consecutive solves:
> 
> [1]   Solving system... 0.154203 s
> 
> KSP Object:
>  type: gmres
>    GMRES: restart=30, using Classical (unmodified) Gram-Schmidt 
> Orthogonalization with no iterative refinement
>    GMRES: happy breakdown tolerance 1e-30
>  maximum iterations=10000
>  tolerances:  relative=1e-05, absolute=1e-50, divergence=10000
>  left preconditioning
>  using nonzero initial guess
>  using PRECONDITIONED norm type for convergence test
> PC Object:
>  type: bjacobi
>    block Jacobi: number of blocks = 3
>    Local solve is same for all blocks, in the following KSP and PC objects:
>  KSP Object:(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:(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=2020, cols=2020
>            package used to perform factorization: petsc
>            total: nonzeros=119396, allocated nonzeros=163620
>              using I-node routines: found 676 nodes, limit used is 5
>    linear system matrix = precond matrix:
>    Matrix Object:
>      type=seqaij, rows=2020, cols=2020
>      total: nonzeros=119396, allocated nonzeros=163620
>        using I-node routines: found 676 nodes, limit used is 5
>  linear system matrix = precond matrix:
>  Matrix Object:
>    type=mpiaij, rows=6058, cols=6058
>    total: nonzeros=365026, allocated nonzeros=509941
>      using I-node (on process 0) routines: found 676 nodes, limit used is 5
> 
> 
> [1]   System solved in 51 iterations... 0.543215 s
> ...
> ...
> ...
> 
> [1]   Solving system... 0.302414 s
> 
> KSP Object:
>  type: gmres
>    GMRES: restart=30, using Classical (unmodified) Gram-Schmidt 
> Orthogonalization with no iterative refinement
>    GMRES: happy breakdown tolerance 1e-30
>  maximum iterations=10000
>  tolerances:  relative=1e-05, absolute=1e-50, divergence=10000
>  left preconditioning
>  using nonzero initial guess
>  using PRECONDITIONED norm type for convergence test
> PC Object:
>  type: bjacobi
>    block Jacobi: number of blocks = 3
>    Local solve is same for all blocks, in the following KSP and PC objects:
>  KSP Object:(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:(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=2020, cols=2020
>            package used to perform factorization: petsc
>            total: nonzeros=119396, allocated nonzeros=163620
>              using I-node routines: found 676 nodes, limit used is 5
>    linear system matrix = precond matrix:
>    Matrix Object:
>      type=seqaij, rows=2020, cols=2020
>      total: nonzeros=119396, allocated nonzeros=163620
>        using I-node routines: found 676 nodes, limit used is 5
>  linear system matrix = precond matrix:
>  Matrix Object:
>    type=mpiaij, rows=6058, cols=6058
>    total: nonzeros=365026, allocated nonzeros=509941
>      using I-node (on process 0) routines: found 676 nodes, limit used is 5
> 
> [1]   System solved in 3664 iterations... 42.683 s
> 
> 
> 
> As you can see, the second iteration takes more than 40 seconds to solve. 
> Could some explain why this is happening and why he number of iterations is 
> increasing dramatically between solves? Thank you all,
> 
> Alejandro M. Arag?n, Ph.D.

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