[petsc-dev] GAMG broken in master
Mark Adams
mfadams at lbl.gov
Fri Feb 20 14:17:26 CST 2015
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 <bsmith at mcs.anl.gov> 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 <bsmith at mcs.anl.gov> 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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