[petsc-dev] KSPComputeExtremeSingularValues_GMRES floating point exception

John Mousel john.mousel at gmail.com
Thu Jul 24 08:30:18 CDT 2014


Barry,

I'm using petsc-dev that I cloned about 2 days ago after you pushed a
change in VecSet.

There was no extra part of the error message, which confused me as well.

-options_left returns:
-pres_redistribute_gamg_type value: agg

John


On Wed, Jul 23, 2014 at 4:11 PM, Barry Smith <bsmith at mcs.anl.gov> wrote:

>
> On Jul 23, 2014, at 9:54 AM, John Mousel <john.mousel at gmail.com> wrote:
>
> >
> >
> >
> >
> > I'm getting an FPE in LAPACKgesvd of
> KSPComputeExtremeSingularValues_GMRES.
>
>   ierr = PetscFPTrapPush(PETSC_FP_TRAP_OFF);CHKERRQ(ierr);
> #if !defined(PETSC_USE_COMPLEX)
>
> PetscStackCallBLAS("LAPACKgesvd",LAPACKgesvd_("N","N",&bn,&bn,R,&bN,realpart,&sdummy,&idummy,&sdummy,&idummy,work,&lwork,&lierr));
> #else
>
> PetscStackCallBLAS("LAPACKgesvd",LAPACKgesvd_("N","N",&bn,&bn,R,&bN,realpart,&sdummy,&idummy,&sdummy,&idummy,work,&lwork,realpart+N,&lierr));
> #endif
>   if (lierr) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_LIB,"Error in SVD Lapack
> routine %d",(int)lierr);
>   ierr = PetscFPTrapPop();CHKERRQ(ierr);
>
>   What version of PETSc are you using? In our current release we turn off
> the trapping for that routine but maybe yours is a system that cannot turn
> it off
>
> > I'm not sure where this routine is required during the algorithm as I'm
> using BiCG + richardson/SOR on all multigrid levels.
>
>    Good question. Yes it would normally not use the
> KSPComputeExtremeSingularValues_GMRES() Is there more error message that
> shows where the functions are called from?
>
> > Also, even though I've set mg_coarse_ksp_type richardson, KSPView is
> showing that preonly is used on the coarsest level. Am I misunderstanding
> something about the options I'm using?
>
>     They seem to be correct. If you run with -options_left does it
> indicate that option is never used?
>
>    Suggest upgrading to PETSc 3.5
>
>    Barry
>
> >
> > -pres_ksp_type preonly -pres_pc_type redistribute
> -pres_redistribute_ksp_type bcgsl -pres_redistribute_pc_type gamg
> -pres_redistribute_pc_gamg_threshold 0.01
> -pres_redistribute_mg_levels_ksp_type richardson
> -pres_redistribute_mg_levels_pc_type sor
> -pres_redistribute_mg_coarse_ksp_type richardson
> -pres_redistribute_mg_coarse_pc_type sor
> -pres_redistribute_mg_coarse_pc_sor_its 4
> -pres_redistribute_pc_gamg_agg_nsmooths 1
> -pres_redistribute_pc_gamg_sym_graph true -pres_redistribute_gamg_type agg
> -pres_ksp_view
> >
> >
> >
> > [8]PETSC ERROR:
> ------------------------------------------------------------------------
> > [8]PETSC ERROR: Caught signal number 8 FPE: Floating Point
> Exception,probably divide by zero
> > [8]PETSC ERROR: Try option -start_in_debugger or
> -on_error_attach_debugger
> > [8]PETSC ERROR: or see
> http://www.mcs.anl.gov/petsc/documentation/faq.html#valgrind[8]PETSC
> ERROR: or try http://valgrind.org on GNU/linux and Apple Mac OS X to find
> memory corruption errors
> > [40]PETSC ERROR:
> ------------------------------------------------------------------------
> > [40]PETSC ERROR: Caught signal number 8 FPE: Floating Point
> Exception,probably divide by zero
> > [40]PETSC ERROR: Try option -start_in_debugger or
> -on_error_attach_debugger
> > [40]PETSC ERROR: or see
> http://www.mcs.anl.gov/petsc/documentation/faq.html#valgrind[40]PETSC
> ERROR: or try http://valgrind.org on GNU/linux and Apple Mac OS X to find
> memory corruption errors
> > [40]PETSC ERROR: likely location of problem given in stack below
> > [40]PETSC ERROR: ---------------------  Stack Frames
> ------------------------------------
> > [40]PETSC ERROR: Note: The EXACT line numbers in the stack are not
> available,
> > [40]PETSC ERROR:       INSTEAD the line number of the start of the
> function
> > [40]PETSC ERROR:       is given.
> > [40]PETSC ERROR: [40] LAPACKgesvd line 42
> /Users/jmousel/SOFT/petsc/src/ksp/ksp/impls/gmres/gmreig.c
> > [40]PETSC ERROR: [40] KSPComputeExtremeSingularValues_GMRES line 24
> /Users/jmousel/SOFT/petsc/src/ksp/ksp/impls/gmres/gmreig.c
> > [40]PETSC ERROR: [40] KSPComputeExtremeSingularValues line 51
> /Users/jmousel/SOFT/petsc/src/ksp/ksp/interface/itfunc.c
> >
> >
> >
> > KSP Object:proj_ksp(pres_) 96 MPI processes
> >   type: preonly
> >   maximum iterations=1000, initial guess is zero
> >   tolerances:  relative=1e-50, absolute=0.01, divergence=10000
> >   left preconditioning
> >   using NONE norm type for convergence test
> > PC Object:(pres_) 96 MPI processes
> >   type: redistribute
> >       Number rows eliminated 7115519 Percentage rows eliminated 44.1051
> >     Redistribute preconditioner:
> >   KSP Object:  (pres_redistribute_)   96 MPI processes
> >     type: bcgsl
> >       BCGSL: Ell = 2
> >       BCGSL: Delta = 0
> >     maximum iterations=1000, initial guess is zero
> >     tolerances:  relative=1e-50, absolute=0.01, divergence=10000
> >     left preconditioning
> >     has attached null space
> >     using PRECONDITIONED norm type for convergence test
> >   PC Object:  (pres_redistribute_)   96 MPI processes
> >     type: gamg
> >       MG: type is MULTIPLICATIVE, levels=4 cycles=v
> >         Cycles per PCApply=1
> >         Using Galerkin computed coarse grid matrices
> >     Coarse grid solver -- level -------------------------------
> >       KSP Object:      (pres_redistribute_mg_coarse_)       96 MPI
> processes
> >         type: preonly
> >         maximum iterations=1, initial guess is zero
> >         tolerances:  relative=1e-05, absolute=1e-50, divergence=10000
> >         left preconditioning
> >         using NONE norm type for convergence test
> >       PC Object:      (pres_redistribute_mg_coarse_)       96 MPI
> processes
> >         type: sor
> >           SOR: type = local_symmetric, iterations = 4, local iterations
> = 1, omega = 1
> >         linear system matrix = precond matrix:
> >         Mat Object:         96 MPI processes
> >           type: mpiaij
> >           rows=465, cols=465
> >           total: nonzeros=84523, allocated nonzeros=84523
> >           total number of mallocs used during MatSetValues calls =0
> >             not using I-node (on process 0) routines
> >     Down solver (pre-smoother) on level 1 -------------------------------
> >       KSP Object:      (pres_redistribute_mg_levels_1_)       96 MPI
> processes
> >         type: richardson
> >           Richardson: damping factor=1
> >         maximum iterations=2
> >         tolerances:  relative=1e-05, absolute=1e-50, divergence=10000
> >         left preconditioning
> >         using nonzero initial guess
> >         using NONE norm type for convergence test
> >       PC Object:      (pres_redistribute_mg_levels_1_)       96 MPI
> processes
> >         type: sor
> >           SOR: type = local_symmetric, iterations = 1, local iterations
> = 1, omega = 1
> >         linear system matrix = precond matrix:
> >         Mat Object:         96 MPI processes
> >           type: mpiaij
> >           rows=13199, cols=13199
> >           total: nonzeros=2.09436e+06, allocated nonzeros=2.09436e+06
> >           total number of mallocs used during MatSetValues calls =0
> >             not using I-node (on process 0) routines
> >     Up solver (post-smoother) same as down solver (pre-smoother)
> >     Down solver (pre-smoother) on level 2 -------------------------------
> >       KSP Object:      (pres_redistribute_mg_levels_2_)       96 MPI
> processes
> >         type: richardson
> >           Richardson: damping factor=1
> >         maximum iterations=2
> >         tolerances:  relative=1e-05, absolute=1e-50, divergence=10000
> >         left preconditioning
> >         using nonzero initial guess
> >         using NONE norm type for convergence test
> >       PC Object:      (pres_redistribute_mg_levels_2_)       96 MPI
> processes
> >         type: sor
> >           SOR: type = local_symmetric, iterations = 1, local iterations
> = 1, omega = 1
> >         linear system matrix = precond matrix:
> >         Mat Object:         96 MPI processes
> >           type: mpiaij
> >           rows=568202, cols=568202
> >           total: nonzeros=2.33509e+07, allocated nonzeros=2.33509e+07
> >           total number of mallocs used during MatSetValues calls =0
> >             not using I-node (on process 0) routines
> >     Up solver (post-smoother) same as down solver (pre-smoother)
> >     Down solver (pre-smoother) on level 3 -------------------------------
> >       KSP Object:      (pres_redistribute_mg_levels_3_)       96 MPI
> processes
> >         type: richardson
> >           Richardson: damping factor=1
> >         maximum iterations=2
> >         tolerances:  relative=1e-05, absolute=1e-50, divergence=10000
> >         left preconditioning
> >         using nonzero initial guess
> >         using NONE norm type for convergence test
> >       PC Object:      (pres_redistribute_mg_levels_3_)       96 MPI
> processes
> >         type: sor
> >           SOR: type = local_symmetric, iterations = 1, local iterations
> = 1, omega = 1
> >         linear system matrix = precond matrix:
> >         Mat Object:         96 MPI processes
> >           type: mpiaij
> >           rows=9017583, cols=9017583
> >           total: nonzeros=1.01192e+08, allocated nonzeros=1.01192e+08
> >           total number of mallocs used during MatSetValues calls =0
> >             not using I-node (on process 0) routines
> >     Up solver (post-smoother) same as down solver (pre-smoother)
> >     linear system matrix = precond matrix:
> >     Mat Object:     96 MPI processes
> >       type: mpiaij
> >       rows=9017583, cols=9017583
> >       total: nonzeros=1.01192e+08, allocated nonzeros=1.01192e+08
> >       total number of mallocs used during MatSetValues calls =0
> >         not using I-node (on process 0) routines
> >   linear system matrix = precond matrix:
> >   Mat Object:  proj_A   96 MPI processes
> >     type: mpiaij
> >     rows=16133102, cols=16133102
> >     total: nonzeros=1.09807e+08, allocated nonzeros=1.57582e+08
> >     total number of mallocs used during MatSetValues calls =0
> >       not using I-node (on process 0) routines
> >   Residual norms for vel_ solve.
> >
>
>
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