F I N I T E E L E M E N T A N A L Y S I S P R O G R A M FEAP (C) Regents of the University of California All Rights Reserved. VERSION: Release 8.4.1d DATE: 01 January 2014 Files are set as: Status Filename Input (read ) : Exists Icube_0001 Output (write) : Exists Ocube_0001 Restart (read ) : New Rcube_0001 Restart (write) : New Rcube_0001 Plots (write) : New Pcube_0001 Caution, existing write files will be overwritten. Are filenames correct?( y or n; r = redefine all, s = stop) : R U N N I N G F E A P P R O B L E M N O W --> Please report errors by e-mail to: feap@ce.berkeley.edu 0 KSP Residual norm 1.174597003965e-01 1 KSP Residual norm 1.703870321834e-02 2 KSP Residual norm 1.021316498741e-03 3 KSP Residual norm 1.918005367975e-04 4 KSP Residual norm 1.957699357627e-05 5 KSP Residual norm 1.055648440464e-06 6 KSP Residual norm 1.802665374208e-07 7 KSP Residual norm 1.676093936891e-08 8 KSP Residual norm 8.185630477236e-10 KSP Object: 2 MPI processes type: cg maximum iterations=10000, initial guess is zero tolerances: relative=1e-08, absolute=1e-16, divergence=1e+16 left preconditioning using PRECONDITIONED norm type for convergence test PC Object: 2 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_) 2 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_) 2 MPI processes type: bjacobi block Jacobi: number of blocks = 2 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 1.08247 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=96, cols=96, bs=6 package used to perform factorization: petsc total: nonzeros=7560, allocated nonzeros=7560 total number of mallocs used during MatSetValues calls =0 using I-node routines: found 27 nodes, limit used is 5 linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=96, cols=96, bs=6 total: nonzeros=6984, allocated nonzeros=6984 total number of mallocs used during MatSetValues calls =0 using I-node routines: found 32 nodes, limit used is 5 linear system matrix = precond matrix: Matrix Object: 2 MPI processes type: mpiaij rows=96, cols=96, bs=6 total: nonzeros=6984, allocated nonzeros=6984 total number of mallocs used during MatSetValues calls =0 using I-node (on process 0) routines: found 32 nodes, limit used is 5 Down solver (pre-smoother) on level 1 ------------------------------- KSP Object: (mg_levels_1_) 2 MPI processes type: chebyshev Chebyshev: eigenvalue estimates: min = 0.170852, max = 3.58789 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_) 2 MPI processes type: jacobi linear system matrix = precond matrix: Matrix Object: 2 MPI processes type: mpiaij rows=2013, cols=2013, bs=3 total: nonzeros=100899, allocated nonzeros=100899 total number of mallocs used during MatSetValues calls =0 using I-node (on process 0) routines: found 336 nodes, limit used is 5 Up solver (post-smoother) same as down solver (pre-smoother) linear system matrix = precond matrix: Matrix Object: 2 MPI processes type: mpiaij rows=2013, cols=2013, bs=3 total: nonzeros=100899, allocated nonzeros=100899 total number of mallocs used during MatSetValues calls =0 using I-node (on process 0) routines: found 336 nodes, limit used is 5 0 KSP Residual norm 2.786433242749e-05 1 KSP Residual norm 2.879155786719e-06 2 KSP Residual norm 2.468572476389e-07 3 KSP Residual norm 2.819800213284e-08 4 KSP Residual norm 2.628207284894e-09 5 KSP Residual norm 2.537967773642e-10 6 KSP Residual norm 2.702578211041e-11 7 KSP Residual norm 2.705257315894e-12 8 KSP Residual norm 2.588375739486e-13 KSP Object: 2 MPI processes type: cg maximum iterations=10000, initial guess is zero tolerances: relative=1e-08, absolute=1e-16, divergence=1e+16 left preconditioning using PRECONDITIONED norm type for convergence test PC Object: 2 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_) 2 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_) 2 MPI processes type: bjacobi block Jacobi: number of blocks = 2 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 1.08247 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=96, cols=96, bs=6 package used to perform factorization: petsc total: nonzeros=7560, allocated nonzeros=7560 total number of mallocs used during MatSetValues calls =0 using I-node routines: found 27 nodes, limit used is 5 linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=96, cols=96, bs=6 total: nonzeros=6984, allocated nonzeros=6984 total number of mallocs used during MatSetValues calls =0 using I-node routines: found 32 nodes, limit used is 5 linear system matrix = precond matrix: Matrix Object: 2 MPI processes type: mpiaij rows=96, cols=96, bs=6 total: nonzeros=6984, allocated nonzeros=6984 total number of mallocs used during MatSetValues calls =0 using I-node (on process 0) routines: found 32 nodes, limit used is 5 Down solver (pre-smoother) on level 1 ------------------------------- KSP Object: (mg_levels_1_) 2 MPI processes type: chebyshev Chebyshev: eigenvalue estimates: min = 0.170984, max = 3.59065 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_) 2 MPI processes type: jacobi linear system matrix = precond matrix: Matrix Object: 2 MPI processes type: mpiaij rows=2013, cols=2013, bs=3 total: nonzeros=100899, allocated nonzeros=100899 total number of mallocs used during MatSetValues calls =0 using I-node (on process 0) routines: found 336 nodes, limit used is 5 Up solver (post-smoother) same as down solver (pre-smoother) linear system matrix = precond matrix: Matrix Object: 2 MPI processes type: mpiaij rows=2013, cols=2013, bs=3 total: nonzeros=100899, allocated nonzeros=100899 total number of mallocs used during MatSetValues calls =0 using I-node (on process 0) routines: found 336 nodes, limit used is 5 0 KSP Residual norm 1.567241860739e-10 1 KSP Residual norm 1.949797962509e-11 2 KSP Residual norm 1.882291311511e-12 3 KSP Residual norm 1.985926088767e-13 4 KSP Residual norm 1.628297318609e-14 5 KSP Residual norm 1.556553520720e-15 6 KSP Residual norm 1.773769704074e-16 7 KSP Residual norm 1.554166465541e-17 KSP Object: 2 MPI processes type: cg maximum iterations=10000, initial guess is zero tolerances: relative=1e-08, absolute=1e-16, divergence=1e+16 left preconditioning using PRECONDITIONED norm type for convergence test PC Object: 2 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_) 2 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_) 2 MPI processes type: bjacobi block Jacobi: number of blocks = 2 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 1.08247 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=96, cols=96, bs=6 package used to perform factorization: petsc total: nonzeros=7560, allocated nonzeros=7560 total number of mallocs used during MatSetValues calls =0 using I-node routines: found 27 nodes, limit used is 5 linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=96, cols=96, bs=6 total: nonzeros=6984, allocated nonzeros=6984 total number of mallocs used during MatSetValues calls =0 using I-node routines: found 32 nodes, limit used is 5 linear system matrix = precond matrix: Matrix Object: 2 MPI processes type: mpiaij rows=96, cols=96, bs=6 total: nonzeros=6984, allocated nonzeros=6984 total number of mallocs used during MatSetValues calls =0 using I-node (on process 0) routines: found 32 nodes, limit used is 5 Down solver (pre-smoother) on level 1 ------------------------------- KSP Object: (mg_levels_1_) 2 MPI processes type: chebyshev Chebyshev: eigenvalue estimates: min = 0.170983, max = 3.59065 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_) 2 MPI processes type: jacobi linear system matrix = precond matrix: Matrix Object: 2 MPI processes type: mpiaij rows=2013, cols=2013, bs=3 total: nonzeros=100899, allocated nonzeros=100899 total number of mallocs used during MatSetValues calls =0 using I-node (on process 0) routines: found 336 nodes, limit used is 5 Up solver (post-smoother) same as down solver (pre-smoother) linear system matrix = precond matrix: Matrix Object: 2 MPI processes type: mpiaij rows=2013, cols=2013, bs=3 total: nonzeros=100899, allocated nonzeros=100899 total number of mallocs used during MatSetValues calls =0 using I-node (on process 0) routines: found 336 nodes, limit used is 5 ************************************************************************************************************************ *** WIDEN YOUR WINDOW TO 120 CHARACTERS. Use 'enscript -r -fCourier9' to print this document *** ************************************************************************************************************************ ---------------------------------------------- PETSc Performance Summary: ---------------------------------------------- /usr2/tgross/parFEAP/parFEAP84_mod/FEAP84/ver84/parfeap/feap on a linux-gnu-c named ilfb35.ilsb.tuwien.ac.at with 2 processors, by tgross Mon Jan 27 17:10:03 2014 Using Petsc Release Version 3.4.3, Oct, 15, 2013 Max Max/Min Avg Total Time (sec): 3.675e-01 1.00024 3.675e-01 Objects: 5.360e+02 1.01132 5.330e+02 Flops: 3.356e+07 1.00065 3.355e+07 6.709e+07 Flops/sec: 9.134e+07 1.00089 9.129e+07 1.826e+08 MPI Messages: 4.320e+02 1.00000 4.320e+02 8.640e+02 MPI Message Lengths: 9.964e+05 1.00000 2.307e+03 1.993e+06 MPI Reductions: 1.269e+03 1.00475 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: 3.6745e-01 100.0% 6.7093e+07 100.0% 8.640e+02 100.0% 2.307e+03 100.0% 1.265e+03 99.7% ------------------------------------------------------------------------------------------------------------------------ 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 MatMult 209 1.0 2.0997e-02 1.0 2.12e+07 1.0 4.2e+02 1.9e+03 0.0e+00 6 62 48 40 0 6 62 48 40 0 1989 MatMultAdd 26 1.0 3.6705e-03 3.3 7.11e+05 1.0 2.6e+01 6.7e+02 0.0e+00 1 2 3 1 0 1 2 3 1 0 381 MatMultTranspose 26 1.0 1.7848e-03 1.1 7.11e+05 1.0 2.6e+01 6.7e+02 0.0e+00 0 2 3 1 0 0 2 3 1 0 784 MatSolve 26 0.0 2.5368e-04 0.0 3.91e+05 0.0 0.0e+00 0.0e+00 0.0e+00 0 1 0 0 0 0 1 0 0 0 1540 MatLUFactorSym 3 1.0 6.2466e-0429.4 0.00e+00 0.0 0.0e+00 0.0e+00 9.0e+00 0 0 0 0 1 0 0 0 0 1 0 MatLUFactorNum 3 1.0 9.3007e-04156.0 1.12e+06 0.0 0.0e+00 0.0e+00 0.0e+00 0 2 0 0 0 0 2 0 0 0 1199 MatScale 9 1.0 3.0088e-04 1.1 1.16e+05 1.0 6.0e+00 6.3e+02 0.0e+00 0 0 1 0 0 0 0 1 0 0 760 MatAssemblyBegin 60 1.0 3.3300e-03 1.0 0.00e+00 0.0 1.8e+01 2.1e+03 6.6e+01 1 0 2 2 5 1 0 2 2 5 0 MatAssemblyEnd 60 1.0 1.2232e-02 1.0 0.00e+00 0.0 8.2e+01 1.4e+02 2.0e+02 3 0 9 1 16 3 0 9 1 16 0 MatGetRow 11088 1.0 1.4744e-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 MatGetRowIJ 3 0.0 2.7895e-05 0.0 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 3 0.0 1.1182e-04 0.0 0.00e+00 0.0 0.0e+00 0.0e+00 6.0e+00 0 0 0 0 0 0 0 0 0 0 0 MatCoarsen 3 1.0 1.6336e-03 1.0 0.00e+00 0.0 2.4e+01 1.0e+03 5.1e+01 0 0 3 1 4 0 0 3 1 4 0 MatZeroEntries 3 1.0 2.1291e-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 MatView 15 1.7 9.4581e-04 1.1 0.00e+00 0.0 0.0e+00 0.0e+00 9.0e+00 0 0 0 0 1 0 0 0 0 1 0 MatAXPY 3 1.0 1.0014e-04 1.1 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 3 1.0 9.5661e-03 1.0 1.16e+06 1.0 3.6e+01 3.9e+03 7.2e+01 3 3 4 7 6 3 3 4 7 6 237 MatMatMultSym 3 1.0 6.6750e-03 1.0 0.00e+00 0.0 3.0e+01 2.9e+03 6.6e+01 2 0 3 4 5 2 0 3 4 5 0 MatMatMultNum 3 1.0 2.9039e-03 1.0 1.16e+06 1.0 6.0e+00 9.0e+03 6.0e+00 1 3 1 3 0 1 3 1 3 0 780 MatPtAP 3 1.0 3.1274e-02 1.0 7.26e+06 1.1 5.4e+01 8.9e+03 7.5e+01 9 21 6 24 6 9 21 6 24 6 440 MatPtAPSymbolic 3 1.0 1.5709e-02 1.0 0.00e+00 0.0 3.6e+01 1.0e+04 4.5e+01 4 0 4 19 4 4 0 4 19 4 0 MatPtAPNumeric 3 1.0 1.5562e-02 1.0 7.26e+06 1.1 1.8e+01 5.8e+03 3.0e+01 4 21 2 5 2 4 21 2 5 2 884 MatTrnMatMult 3 1.0 7.8683e-03 1.0 3.04e+05 1.0 3.6e+01 4.3e+03 8.7e+01 2 1 4 8 7 2 1 4 8 7 77 MatGetLocalMat 15 1.0 7.1907e-04 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 1.8e+01 0 0 0 0 1 0 0 0 0 1 0 MatGetBrAoCol 9 1.0 1.2493e-03 1.0 0.00e+00 0.0 4.2e+01 1.1e+04 1.2e+01 0 0 5 23 1 0 0 5 23 1 0 MatGetSymTrans 6 1.0 1.8501e-04 1.1 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 VecDot 3 1.0 8.7976e-05 1.0 6.04e+03 1.0 0.0e+00 0.0e+00 3.0e+00 0 0 0 0 0 0 0 0 0 0 137 VecMDot 30 1.0 1.8568e-03 1.1 3.32e+05 1.0 0.0e+00 0.0e+00 3.0e+01 0 1 0 0 2 0 1 0 0 2 358 VecTDot 46 1.0 1.3773e-03 1.2 9.27e+04 1.0 0.0e+00 0.0e+00 4.6e+01 0 0 0 0 4 0 0 0 0 4 134 VecNorm 59 1.0 1.8394e-03 1.1 1.19e+05 1.0 0.0e+00 0.0e+00 5.9e+01 0 0 0 0 5 0 0 0 0 5 129 VecScale 137 1.0 2.1148e-04 1.1 1.38e+05 1.0 0.0e+00 0.0e+00 0.0e+00 0 0 0 0 0 0 0 0 0 0 1304 VecCopy 35 1.0 3.0518e-05 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 220 1.0 7.9632e-05 1.1 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 257 1.0 3.8981e-04 1.1 5.18e+05 1.0 0.0e+00 0.0e+00 0.0e+00 0 2 0 0 0 0 2 0 0 0 2654 VecAYPX 228 1.0 4.2653e-04 1.0 3.02e+05 1.0 0.0e+00 0.0e+00 0.0e+00 0 1 0 0 0 0 1 0 0 0 1416 VecMAXPY 33 1.0 1.9550e-04 1.0 3.93e+05 1.0 0.0e+00 0.0e+00 0.0e+00 0 1 0 0 0 0 1 0 0 0 4016 VecAssemblyBegin 90 1.0 6.1271e-03 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 2.6e+02 2 0 0 0 21 2 0 0 0 21 0 VecAssemblyEnd 90 1.0 6.1750e-05 1.1 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 189 1.0 4.0197e-04 1.0 1.91e+05 1.0 0.0e+00 0.0e+00 0.0e+00 0 1 0 0 0 0 1 0 0 0 946 VecScatterBegin 351 1.0 3.0189e-03 1.2 0.00e+00 0.0 6.5e+02 1.5e+03 0.0e+00 1 0 75 50 0 1 0 75 50 0 0 VecScatterEnd 351 1.0 1.1168e-02 1.1 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 VecSetRandom 3 1.0 5.1022e-05 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 33 1.0 9.9349e-04 1.0 9.98e+04 1.0 0.0e+00 0.0e+00 3.3e+01 0 0 0 0 3 0 0 0 0 3 201 KSPGMRESOrthog 30 1.0 2.0542e-03 1.1 6.65e+05 1.0 0.0e+00 0.0e+00 3.0e+01 1 2 0 0 2 1 2 0 0 2 647 KSPSetUp 18 1.0 5.8818e-04 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 1.2e+01 0 0 0 0 1 0 0 0 0 1 0 KSPSolve 3 1.0 1.3235e-01 1.0 3.36e+07 1.0 8.5e+02 2.3e+03 1.2e+03 36100 99100 96 36100 99100 96 507 PCSetUp 6 1.0 1.0533e-01 1.0 1.30e+07 1.0 4.4e+02 2.9e+03 1.1e+03 28 38 51 64 90 28 38 51 64 90 244 PCSetUpOnBlocks 26 1.0 1.7312e-0313.4 1.12e+06 0.0 0.0e+00 0.0e+00 1.8e+01 0 2 0 0 1 0 2 0 0 1 644 PCApply 26 1.0 2.3993e-02 1.0 1.92e+07 1.1 3.6e+02 1.7e+03 2.4e+01 7 56 42 31 2 7 56 42 31 2 1557 PCGAMGgraph_AGG 1 1.0 7.0369e-03 1.0 1.14e+04 1.0 1.0e+01 2.4e+02 3.6e+01 2 0 1 0 3 2 0 1 0 3 3 PCGAMGcoarse_AGG 1 1.0 4.0741e-03 1.0 1.01e+05 1.0 3.0e+01 2.3e+03 6.6e+01 1 0 3 3 5 1 0 3 3 5 50 PCGAMGProl_AGG 1 1.0 4.3368e-03 1.0 0.00e+00 0.0 4.8e+01 1.1e+03 1.1e+02 1 0 6 3 9 1 0 6 3 9 0 PCGAMGPOpt_AGG 1 1.0 6.1359e-03 1.0 1.71e+06 1.0 3.2e+01 2.7e+03 5.6e+01 2 5 4 4 4 2 5 4 4 4 551 PCGAMGgraph_AGG 1 1.0 5.7518e-03 1.0 1.14e+04 1.0 1.0e+01 2.4e+02 3.6e+01 2 0 1 0 3 2 0 1 0 3 4 PCGAMGcoarse_AGG 1 1.0 3.7661e-03 1.0 1.01e+05 1.0 3.0e+01 2.3e+03 6.6e+01 1 0 3 3 5 1 0 3 3 5 54 PCGAMGProl_AGG 1 1.0 3.9451e-03 1.0 0.00e+00 0.0 4.8e+01 1.1e+03 1.1e+02 1 0 6 3 9 1 0 6 3 9 0 PCGAMGPOpt_AGG 1 1.0 6.0630e-03 1.0 1.71e+06 1.0 3.2e+01 2.7e+03 5.6e+01 2 5 4 4 4 2 5 4 4 4 558 PCGAMGgraph_AGG 1 1.0 5.6109e-03 1.0 1.14e+04 1.0 1.0e+01 2.4e+02 3.6e+01 2 0 1 0 3 2 0 1 0 3 4 PCGAMGcoarse_AGG 1 1.0 3.6681e-03 1.0 1.01e+05 1.0 3.0e+01 2.3e+03 6.6e+01 1 0 3 3 5 1 0 3 3 5 55 PCGAMGProl_AGG 1 1.0 3.9270e-03 1.0 0.00e+00 0.0 4.8e+01 1.1e+03 1.1e+02 1 0 6 3 9 1 0 6 3 9 0 PCGAMGPOpt_AGG 1 1.0 5.8789e-03 1.0 1.71e+06 1.0 3.2e+01 2.7e+03 5.6e+01 2 5 4 4 4 2 5 4 4 4 575 ------------------------------------------------------------------------------------------------------------------------ Memory usage is given in bytes: Object Type Creations Destructions Memory Descendants' Mem. Reports information only for process 0. --- Event Stage 0: Main Stage Matrix 105 105 6082820 0 Matrix Coarsen 3 3 1884 0 Vector 259 259 1362280 0 Vector Scatter 28 28 29456 0 Index Set 98 98 86424 0 Krylov Solver 18 18 160152 0 Preconditioner 18 18 18036 0 Viewer 4 3 2184 0 PetscRandom 3 3 1872 0 ======================================================================================================================== Average time to get PetscTime(): 9.53674e-08 Average time for MPI_Barrier(): 6.56128e-05 Average time for zero size MPI_Send(): 2.14577e-05 #PETSc Option Table entries: -ksp_monitor -ksp_type cg -ksp_view -log_summary -options_left -pc_gamg_agg_nsmooths 1 -pc_gamg_type agg -pc_type gamg #End of PETSc Option Table entries Compiled without FORTRAN kernels Compiled with full precision matrices (default) sizeof(short) 2 sizeof(int) 4 sizeof(long) 8 sizeof(void*) 8 sizeof(PetscScalar) 8 sizeof(PetscInt) 4 Configure run at: Thu Jan 23 19:10:29 2014 Configure options: --download-parmetis --download-superlu_dist --download-mpich --download-hypre --download-metis --download-ml --download-mumps --download-scalapack --download-blacs --download-cmake --download-f-blas-lapack=1 --with-debugging=0 ----------------------------------------- Libraries compiled on Thu Jan 23 19:10:29 2014 on ilfb35.ilsb.tuwien.ac.at Machine characteristics: Linux-2.6.32-358.2.1.el6.x86_64-x86_64-with-redhat-6.4-Carbon Using PETSc directory: /usr2/tgross/parFEAP/parFEAP84_mod/petsc-3.4.3 Using PETSc arch: linux-gnu-c ----------------------------------------- Using C compiler: /usr2/tgross/parFEAP/parFEAP84_mod/petsc-3.4.3/linux-gnu-c/bin/mpicc -fPIC -Wall -Wwrite-strings -Wno-strict-aliasing -Wno-unknown-pragmas -O ${COPTFLAGS} ${CFLAGS} Using Fortran compiler: /usr2/tgross/parFEAP/parFEAP84_mod/petsc-3.4.3/linux-gnu-c/bin/mpif90 -fPIC -Wall -Wno-unused-variable -O ${FOPTFLAGS} ${FFLAGS} ----------------------------------------- Using include paths: -I/usr2/tgross/parFEAP/parFEAP84_mod/petsc-3.4.3/linux-gnu-c/include -I/usr2/tgross/parFEAP/parFEAP84_mod/petsc-3.4.3/include -I/usr2/tgross/parFEAP/parFEAP84_mod/petsc-3.4.3/include -I/usr2/tgross/parFEAP/parFEAP84_mod/petsc-3.4.3/linux-gnu-c/include ----------------------------------------- Using C linker: /usr2/tgross/parFEAP/parFEAP84_mod/petsc-3.4.3/linux-gnu-c/bin/mpicc Using Fortran linker: /usr2/tgross/parFEAP/parFEAP84_mod/petsc-3.4.3/linux-gnu-c/bin/mpif90 Using libraries: -Wl,-rpath,/usr2/tgross/parFEAP/parFEAP84_mod/petsc-3.4.3/linux-gnu-c/lib -L/usr2/tgross/parFEAP/parFEAP84_mod/petsc-3.4.3/linux-gnu-c/lib -lpetsc -Wl,-rpath,/usr2/tgross/parFEAP/parFEAP84_mod/petsc-3.4.3/linux-gnu-c/lib -L/usr2/tgross/parFEAP/parFEAP84_mod/petsc-3.4.3/linux-gnu-c/lib -lHYPRE -Wl,-rpath,/usr/lib/gcc/x86_64-redhat-linux/4.4.7 -L/usr/lib/gcc/x86_64-redhat-linux/4.4.7 -lmpichcxx -lstdc++ -lcmumps -ldmumps -lsmumps -lzmumps -lmumps_common -lpord -lscalapack -lml -lmpichcxx -lstdc++ -lsuperlu_dist_3.3 -lflapack -lfblas -lX11 -lparmetis -lmetis -lpthread -lmpichf90 -lgfortran -lm -lm -lmpichcxx -lstdc++ -lmpichcxx -lstdc++ -ldl -lmpich -lopa -lmpl -lrt -lpthread -lgcc_s -ldl ----------------------------------------- #PETSc Option Table entries: -ksp_monitor -ksp_type cg -ksp_view -log_summary -options_left -pc_gamg_agg_nsmooths 1 -pc_gamg_type agg -pc_type gamg #End of PETSc Option Table entries There are no unused options.