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 <[email protected]> wrote: > > On Jul 23, 2014, at 9:54 AM, John Mousel <[email protected]> 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. > > > >
