Hmm, it seems GAMG is only doing 2 levels in master for all problems? ./ex29 -da_refine 8 -pc_type gamg -ksp_view
uses only two levels. Makes no sense. Did someone break it? > On Feb 18, 2015, at 9:48 PM, Barry Smith <[email protected]> wrote: > > > Mark, > > When I run ksp/ksp/examples/tutorials/ex45 I get a VERY large coarse > problem. It seems to ignore the -pc_gamg_coarse_eq_limit 200 argument. Any > idea what is going on? > > Thanks > > Barry > > > $ ./ex45 -da_refine 3 -pc_type gamg -ksp_monitor -ksp_view -log_summary > -pc_gamg_coarse_eq_limit 200 > 0 KSP Residual norm 2.790769524030e+02 > 1 KSP Residual norm 4.484052193577e+01 > 2 KSP Residual norm 2.409368790441e+00 > 3 KSP Residual norm 1.553421589919e-01 > 4 KSP Residual norm 9.821441923699e-03 > 5 KSP Residual norm 5.610434857134e-04 > KSP Object: 1 MPI processes > 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: 1 MPI processes > type: gamg > MG: type is MULTIPLICATIVE, levels=2 cycles=v > Cycles per PCApply=1 > Using Galerkin computed coarse grid matrices > Coarse grid solver -- level ------------------------------- > KSP Object: (mg_coarse_) 1 MPI processes > type: gmres > GMRES: restart=30, using Classical (unmodified) Gram-Schmidt > Orthogonalization with no iterative refinement > GMRES: happy breakdown tolerance 1e-30 > 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: (mg_coarse_) 1 MPI processes > type: bjacobi > block Jacobi: number of blocks = 1 > Local solve is same for all blocks, in the following KSP and PC > objects: > KSP Object: (mg_coarse_sub_) 1 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: (mg_coarse_sub_) 1 MPI processes > type: lu > LU: out-of-place factorization > tolerance for zero pivot 2.22045e-14 > using diagonal shift on blocks to prevent zero pivot [INBLOCKS] > matrix ordering: nd > factor fill ratio given 5, needed 36.4391 > Factored matrix follows: > Mat Object: 1 MPI processes > type: seqaij > rows=16587, cols=16587 > package used to perform factorization: petsc > total: nonzeros=1.8231e+07, allocated nonzeros=1.8231e+07 > total number of mallocs used during MatSetValues calls =0 > not using I-node routines > linear system matrix = precond matrix: > Mat Object: 1 MPI processes > type: seqaij > rows=16587, cols=16587 > total: nonzeros=500315, allocated nonzeros=500315 > total number of mallocs used during MatSetValues calls =0 > not using I-node routines > linear system matrix = precond matrix: > Mat Object: 1 MPI processes > type: seqaij > rows=16587, cols=16587 > total: nonzeros=500315, allocated nonzeros=500315 > total number of mallocs used during MatSetValues calls =0 > not using I-node routines > Down solver (pre-smoother) on level 1 ------------------------------- > KSP Object: (mg_levels_1_) 1 MPI processes > type: chebyshev > Chebyshev: eigenvalue estimates: min = 0.0976343, max = 2.05032 > 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: (mg_levels_1_) 1 MPI processes > type: sor > SOR: type = local_symmetric, iterations = 1, local iterations = 1, > omega = 1 > linear system matrix = precond matrix: > Mat Object: 1 MPI processes > type: seqaij > rows=117649, cols=117649 > total: nonzeros=809137, allocated nonzeros=809137 > total number of mallocs used during MatSetValues calls =0 > not using I-node routines > Up solver (post-smoother) same as down solver (pre-smoother) > linear system matrix = precond matrix: > Mat Object: 1 MPI processes > type: seqaij > rows=117649, cols=117649 > total: nonzeros=809137, allocated nonzeros=809137 > total number of mallocs used during MatSetValues calls =0 > not using I-node routines > Residual norm 3.81135e-05 > ************************************************************************************************************************ > *** WIDEN YOUR WINDOW TO 120 CHARACTERS. Use 'enscript -r > -fCourier9' to print this document *** > ************************************************************************************************************************ > > ---------------------------------------------- PETSc Performance Summary: > ---------------------------------------------- > > ./ex45 on a arch-opt named Barrys-MacBook-Pro.local with 1 processor, by > barrysmith Wed Feb 18 21:38:03 2015 > Using Petsc Development GIT revision: v3.5.3-1998-geddef31 GIT Date: > 2015-02-18 11:05:09 -0600 > > Max Max/Min Avg Total > Time (sec): 1.103e+01 1.00000 1.103e+01 > Objects: 9.200e+01 1.00000 9.200e+01 > Flops: 1.756e+10 1.00000 1.756e+10 1.756e+10 > Flops/sec: 1.592e+09 1.00000 1.592e+09 1.592e+09 > MPI Messages: 0.000e+00 0.00000 0.000e+00 0.000e+00 > MPI Message Lengths: 0.000e+00 0.00000 0.000e+00 0.000e+00 > MPI Reductions: 0.000e+00 0.00000 > > Flop counting convention: 1 flop = 1 real number operation of type > (multiply/divide/add/subtract) > e.g., VecAXPY() for real vectors of length N --> > 2N flops > and VecAXPY() for complex vectors of length N --> > 8N flops > > Summary of Stages: ----- Time ------ ----- Flops ----- --- Messages --- > -- Message Lengths -- -- Reductions -- > Avg %Total Avg %Total counts %Total > Avg %Total counts %Total > 0: Main Stage: 1.1030e+01 100.0% 1.7556e+10 100.0% 0.000e+00 0.0% > 0.000e+00 0.0% 0.000e+00 0.0% > > ------------------------------------------------------------------------------------------------------------------------ > See the 'Profiling' chapter of the users' manual for details on interpreting > output. > Phase summary info: > Count: number of times phase was executed > Time and Flops: Max - maximum over all processors > Ratio - ratio of maximum to minimum over all processors > Mess: number of messages sent > Avg. len: average message length (bytes) > Reduct: number of global reductions > Global: entire computation > Stage: stages of a computation. Set stages with PetscLogStagePush() and > PetscLogStagePop(). > %T - percent time in this phase %F - percent flops in this phase > %M - percent messages in this phase %L - percent message lengths in > this phase > %R - percent reductions in this phase > Total Mflop/s: 10e-6 * (sum of flops over all processors)/(max time over > all processors) > ------------------------------------------------------------------------------------------------------------------------ > Event Count Time (sec) Flops > --- Global --- --- Stage --- Total > Max Ratio Max Ratio Max Ratio Mess Avg len > Reduct %T %F %M %L %R %T %F %M %L %R Mflop/s > ------------------------------------------------------------------------------------------------------------------------ > > --- Event Stage 0: Main Stage > > KSPGMRESOrthog 21 1.0 8.8868e-03 1.0 3.33e+07 1.0 0.0e+00 0.0e+00 > 0.0e+00 0 0 0 0 0 0 0 0 0 0 3752 > KSPSetUp 5 1.0 4.3986e-03 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 > 0.0e+00 0 0 0 0 0 0 0 0 0 0 0 > KSPSolve 1 1.0 1.0995e+01 1.0 1.76e+10 1.0 0.0e+00 0.0e+00 > 0.0e+00100100 0 0 0 100100 0 0 0 1596 > VecMDot 21 1.0 4.7335e-03 1.0 1.67e+07 1.0 0.0e+00 0.0e+00 > 0.0e+00 0 0 0 0 0 0 0 0 0 0 3522 > VecNorm 30 1.0 9.4804e-04 1.0 4.63e+06 1.0 0.0e+00 0.0e+00 > 0.0e+00 0 0 0 0 0 0 0 0 0 0 4887 > VecScale 29 1.0 7.8293e-04 1.0 2.20e+06 1.0 0.0e+00 0.0e+00 > 0.0e+00 0 0 0 0 0 0 0 0 0 0 2809 > VecCopy 14 1.0 7.7058e-04 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 > 0.0e+00 0 0 0 0 0 0 0 0 0 0 0 > VecSet 102 1.0 1.4530e-02 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 > 0.0e+00 0 0 0 0 0 0 0 0 0 0 0 > VecAXPY 9 1.0 3.8154e-04 1.0 9.05e+05 1.0 0.0e+00 0.0e+00 > 0.0e+00 0 0 0 0 0 0 0 0 0 0 2372 > VecAYPX 48 1.0 5.6449e-03 1.0 7.06e+06 1.0 0.0e+00 0.0e+00 > 0.0e+00 0 0 0 0 0 0 0 0 0 0 1251 > VecAXPBYCZ 24 1.0 4.0700e-03 1.0 1.41e+07 1.0 0.0e+00 0.0e+00 > 0.0e+00 0 0 0 0 0 0 0 0 0 0 3469 > VecMAXPY 29 1.0 5.1512e-03 1.0 2.04e+07 1.0 0.0e+00 0.0e+00 > 0.0e+00 0 0 0 0 0 0 0 0 0 0 3960 > VecAssemblyBegin 1 1.0 6.7055e-08 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 > 0.0e+00 0 0 0 0 0 0 0 0 0 0 0 > VecAssemblyEnd 1 1.0 8.1025e-08 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 > 0.0e+00 0 0 0 0 0 0 0 0 0 0 0 > VecPointwiseMult 11 1.0 1.8083e-03 1.0 1.29e+06 1.0 0.0e+00 0.0e+00 > 0.0e+00 0 0 0 0 0 0 0 0 0 0 716 > VecSetRandom 1 1.0 1.7628e-03 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 > 0.0e+00 0 0 0 0 0 0 0 0 0 0 0 > VecNormalize 29 1.0 1.7100e-03 1.0 6.60e+06 1.0 0.0e+00 0.0e+00 > 0.0e+00 0 0 0 0 0 0 0 0 0 0 3858 > MatMult 58 1.0 5.0949e-02 1.0 8.39e+07 1.0 0.0e+00 0.0e+00 > 0.0e+00 0 0 0 0 0 0 0 0 0 0 1647 > MatMultAdd 6 1.0 5.2584e-03 1.0 5.01e+06 1.0 0.0e+00 0.0e+00 > 0.0e+00 0 0 0 0 0 0 0 0 0 0 952 > MatMultTranspose 6 1.0 6.1330e-03 1.0 5.01e+06 1.0 0.0e+00 0.0e+00 > 0.0e+00 0 0 0 0 0 0 0 0 0 0 816 > MatSolve 12 1.0 2.0657e-01 1.0 4.37e+08 1.0 0.0e+00 0.0e+00 > 0.0e+00 2 2 0 0 0 2 2 0 0 0 2117 > MatSOR 36 1.0 7.1355e-02 1.0 5.84e+07 1.0 0.0e+00 0.0e+00 > 0.0e+00 1 0 0 0 0 1 0 0 0 0 818 > MatLUFactorSym 1 1.0 3.4310e-01 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 > 0.0e+00 3 0 0 0 0 3 0 0 0 0 0 > MatLUFactorNum 1 1.0 9.8038e+00 1.0 1.69e+10 1.0 0.0e+00 0.0e+00 > 0.0e+00 89 96 0 0 0 89 96 0 0 0 1721 > MatConvert 1 1.0 5.6955e-03 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 > 0.0e+00 0 0 0 0 0 0 0 0 0 0 0 > MatScale 3 1.0 2.7223e-03 1.0 2.45e+06 1.0 0.0e+00 0.0e+00 > 0.0e+00 0 0 0 0 0 0 0 0 0 0 901 > MatResidual 6 1.0 6.2142e-03 1.0 9.71e+06 1.0 0.0e+00 0.0e+00 > 0.0e+00 0 0 0 0 0 0 0 0 0 0 1562 > MatAssemblyBegin 12 1.0 2.7413e-06 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 > 0.0e+00 0 0 0 0 0 0 0 0 0 0 0 > MatAssemblyEnd 12 1.0 2.4857e-02 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 > 0.0e+00 0 0 0 0 0 0 0 0 0 0 0 > MatGetRow 470596 1.0 2.4337e-02 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 > 0.0e+00 0 0 0 0 0 0 0 0 0 0 0 > MatGetRowIJ 1 1.0 2.3254e-03 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 > 0.0e+00 0 0 0 0 0 0 0 0 0 0 0 > MatGetOrdering 1 1.0 1.7668e-02 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 > 0.0e+00 0 0 0 0 0 0 0 0 0 0 0 > MatCoarsen 1 1.0 8.5790e-03 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 > 0.0e+00 0 0 0 0 0 0 0 0 0 0 0 > MatView 5 1.0 2.2273e-04 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 > 0.0e+00 0 0 0 0 0 0 0 0 0 0 0 > MatAXPY 1 1.0 1.8864e-02 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 > 0.0e+00 0 0 0 0 0 0 0 0 0 0 0 > MatMatMult 1 1.0 2.4513e-02 1.0 2.03e+06 1.0 0.0e+00 0.0e+00 > 0.0e+00 0 0 0 0 0 0 0 0 0 0 83 > MatMatMultSym 1 1.0 1.7885e-02 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 > 0.0e+00 0 0 0 0 0 0 0 0 0 0 0 > MatMatMultNum 1 1.0 6.6144e-03 1.0 2.03e+06 1.0 0.0e+00 0.0e+00 > 0.0e+00 0 0 0 0 0 0 0 0 0 0 307 > MatPtAP 1 1.0 1.1460e-01 1.0 1.30e+07 1.0 0.0e+00 0.0e+00 > 0.0e+00 1 0 0 0 0 1 0 0 0 0 114 > MatPtAPSymbolic 1 1.0 4.6803e-02 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 > 0.0e+00 0 0 0 0 0 0 0 0 0 0 0 > MatPtAPNumeric 1 1.0 6.7781e-02 1.0 1.30e+07 1.0 0.0e+00 0.0e+00 > 0.0e+00 1 0 0 0 0 1 0 0 0 0 192 > MatTrnMatMult 1 1.0 9.1702e-02 1.0 1.02e+07 1.0 0.0e+00 0.0e+00 > 0.0e+00 1 0 0 0 0 1 0 0 0 0 111 > MatTrnMatMultSym 1 1.0 6.0173e-02 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 > 0.0e+00 1 0 0 0 0 1 0 0 0 0 0 > MatTrnMatMultNum 1 1.0 3.1526e-02 1.0 1.02e+07 1.0 0.0e+00 0.0e+00 > 0.0e+00 0 0 0 0 0 0 0 0 0 0 324 > MatGetSymTrans 2 1.0 4.2753e-03 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 > 0.0e+00 0 0 0 0 0 0 0 0 0 0 0 > PCGAMGgraph_AGG 1 1.0 6.9175e-02 1.0 1.62e+06 1.0 0.0e+00 0.0e+00 > 0.0e+00 1 0 0 0 0 1 0 0 0 0 23 > PCGAMGcoarse_AGG 1 1.0 1.1130e-01 1.0 1.02e+07 1.0 0.0e+00 0.0e+00 > 0.0e+00 1 0 0 0 0 1 0 0 0 0 92 > PCGAMGProl_AGG 1 1.0 2.9380e-02 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 > 0.0e+00 0 0 0 0 0 0 0 0 0 0 0 > PCGAMGPOpt_AGG 1 1.0 9.1377e-02 1.0 5.15e+07 1.0 0.0e+00 0.0e+00 > 0.0e+00 1 0 0 0 0 1 0 0 0 0 564 > PCSetUp 2 1.0 1.0587e+01 1.0 1.69e+10 1.0 0.0e+00 0.0e+00 > 0.0e+00 96 97 0 0 0 96 97 0 0 0 1601 > PCSetUpOnBlocks 6 1.0 1.0165e+01 1.0 1.69e+10 1.0 0.0e+00 0.0e+00 > 0.0e+00 92 96 0 0 0 92 96 0 0 0 1660 > PCApply 6 1.0 1.0503e+01 1.0 1.75e+10 1.0 0.0e+00 0.0e+00 > 0.0e+00 95 99 0 0 0 95 99 0 0 0 1662 > 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