Whoops did not configure. On Fri, Feb 20, 2015 at 3:17 PM, Mark Adams <[email protected]> wrote:
> Humm, I'm not seeing this... > > 15:13 1 mark/gamg-serial ~/Codes/petsc/src/ksp/ksp/examples/tutorials$ > mpirun -n 1 ./ex45 -da_refine 3 -pc_type gamg -ksp_monitor -ksp_view > -log_summary -pc_gamg_coarse_eq_limit 200 > [0]PCSetUp_GAMG level 0 N=117649, n data rows=1, n data cols=1, > nnz/row (ave)=6, np=1 > [0]PCGAMGFilterGraph 91.528% nnz after filtering, with threshold > 0, 6.87755 nnz ave. (N=117649) > [0]PCGAMGCoarsen_AGG square graph > [0]PCGAMGCoarsen_AGG coarsen graph > [0]maxIndSetAgg removed 572 of 117649 vertices. (572 local) 16587 > selected. > [0]PCGAMGProlongator_AGG New grid 16587 nodes > PCGAMGOptprol_AGG smooth P0: max > eigen=1.952686e+00 min=9.933674e-03 PC=jacobi > [0]PCSetUp_GAMG 1) N=16587, n data cols=1, nnz/row > (ave)=30, 1 active pes > [0]PCGAMGFilterGraph 84.7708% nnz after filtering, with threshold > 0, 30.1631 nnz ave. (N=16587) > [0]PCGAMGCoarsen_AGG square graph > [0]PCGAMGCoarsen_AGG coarsen graph > [0]maxIndSetAgg removed 0 of 16587 vertices. (0 local) 353 > selected. > [0]PCGAMGProlongator_AGG New grid 353 nodes > PCGAMGOptprol_AGG smooth P0: max > eigen=1.393979e+00 min=2.197135e-02 PC=jacobi > [0]PCSetUp_GAMG 2) N=353, n data cols=1, nnz/row (ave)=47, > 1 active pes > [0]PCGAMGFilterGraph 99.7358% nnz after filtering, with threshold > 0, 47.1756 nnz ave. (N=353) > [0]PCGAMGCoarsen_AGG square graph > [0]PCGAMGCoarsen_AGG coarsen graph > [0]maxIndSetAgg removed 0 of 353 vertices. (0 local) 3 selected. > [0]PCGAMGProlongator_AGG New grid 3 nodes > PCGAMGOptprol_AGG smooth P0: max > eigen=1.983212e+00 min=2.830095e-01 PC=jacobi > [0]PCSetUp_GAMG 3) N=3, n data cols=1, nnz/row (ave)=3, 1 > active pes > [0]PCSetUp_GAMG 4 levels, grid complexity = 1.63892 > 0 KSP Residual norm 2.706652282076e+02 > 1 KSP Residual norm 4.940773628648e+01 > 2 KSP Residual norm 3.718259719599e+00 > 3 KSP Residual norm 2.082059791607e-01 > 4 KSP Residual norm 1.700581360081e-02 > 5 KSP Residual norm 9.430563655174e-04 > > > On Wed, Feb 18, 2015 at 11:06 PM, Barry Smith <[email protected]> wrote: > >> >> Hmm, it seems GAMG is only doing 2 levels in master for all problems? >> >> > ksp/ex54 seems to do three levels (with -ne 149) with one proc? > > I'll try > > >> ./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 >> > >> ------------------------------------------------------------------------------------------------------------------------ >> > >> > >> > >> >> >
