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 1.407866441446e-01 1 KSP Residual norm 6.331036946837e-03 2 KSP Residual norm 2.744397946950e-04 3 KSP Residual norm 1.419791977305e-05 4 KSP Residual norm 7.670137315396e-07 5 KSP Residual norm 4.636628100571e-08 6 KSP Residual norm 3.374396803942e-09 7 KSP Residual norm 1.936237763969e-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: 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: (mg_levels_1_) 2 MPI processes type: sor SOR: type = local_symmetric, iterations = 1, local iterations = 1, omega = 1 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 3.031628371881e-05 1 KSP Residual norm 1.851329444431e-06 2 KSP Residual norm 1.056837738280e-07 3 KSP Residual norm 7.105783304887e-09 4 KSP Residual norm 4.979526048016e-10 5 KSP Residual norm 2.796922543471e-11 6 KSP Residual norm 1.820274626138e-12 7 KSP Residual norm 1.338628298363e-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: 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: (mg_levels_1_) 2 MPI processes type: sor SOR: type = local_symmetric, iterations = 1, local iterations = 1, omega = 1 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 1.832622717017e-10 1 KSP Residual norm 9.620468071208e-12 2 KSP Residual norm 4.316991960400e-13 3 KSP Residual norm 2.110096634256e-14 4 KSP Residual norm 1.121334496264e-15 5 KSP Residual norm 6.242187859148e-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: 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: (mg_levels_1_) 2 MPI processes type: sor SOR: type = local_symmetric, iterations = 1, local iterations = 1, omega = 1 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 18:35:44 2014 Using Petsc Release Version 3.4.3, Oct, 15, 2013 Max Max/Min Avg Total Time (sec): 3.251e-01 1.00005 3.250e-01 Objects: 5.740e+02 1.01056 5.710e+02 Flops: 3.360e+07 1.00246 3.355e+07 6.711e+07 Flops/sec: 1.034e+08 1.00251 1.032e+08 2.065e+08 MPI Messages: 3.560e+02 1.00000 3.560e+02 7.120e+02 MPI Message Lengths: 8.581e+05 1.00000 2.410e+03 1.716e+06 MPI Reductions: 1.251e+03 1.00482 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: 3.2504e-01 100.0% 6.7108e+07 100.0% 7.120e+02 100.0% 2.410e+03 100.0% 1.247e+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 71 1.0 6.8550e-03 1.0 7.20e+06 1.0 1.4e+02 1.9e+03 0.0e+00 2 21 20 16 0 2 21 20 16 0 2069 MatMultAdd 22 1.0 3.3517e-03 3.6 6.02e+05 1.0 2.2e+01 6.7e+02 0.0e+00 1 2 3 1 0 1 2 3 1 0 353 MatMultTranspose 22 1.0 1.5173e-03 1.1 6.02e+05 1.0 2.2e+01 6.7e+02 0.0e+00 0 2 3 1 0 0 2 3 1 0 780 MatSolve 22 0.0 2.1338e-04 0.0 3.31e+05 0.0 0.0e+00 0.0e+00 0.0e+00 0 0 0 0 0 0 0 0 0 0 1549 MatSOR 44 1.0 1.0671e-02 1.1 1.52e+07 1.0 1.3e+02 1.9e+03 0.0e+00 3 45 19 14 0 3 45 19 14 0 2813 MatLUFactorSym 3 1.0 6.2203e-0432.6 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 9.1290e-04153.2 1.12e+06 0.0 0.0e+00 0.0e+00 0.0e+00 0 2 0 0 0 0 2 0 0 0 1222 MatScale 9 1.0 2.8157e-04 1.0 1.16e+05 1.0 6.0e+00 6.3e+02 0.0e+00 0 0 1 0 0 0 0 1 0 0 812 MatAssemblyBegin 60 1.0 2.8722e-03 1.0 0.00e+00 0.0 1.8e+01 2.1e+03 6.6e+01 1 0 3 2 5 1 0 3 2 5 0 MatAssemblyEnd 60 1.0 1.0881e-02 1.0 0.00e+00 0.0 8.2e+01 1.4e+02 2.0e+02 3 0 12 1 16 3 0 12 1 16 0 MatGetRow 11088 1.0 1.3936e-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 2.5749e-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 1.0467e-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 1.6000e-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 2.8801e-04 1.2 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 1.4322e-03 1.0 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 9.9897e-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 MatMatMult 3 1.0 9.7249e-03 1.0 1.16e+06 1.0 3.6e+01 3.9e+03 7.2e+01 3 3 5 8 6 3 3 5 8 6 233 MatMatMultSym 3 1.0 6.7840e-03 1.0 0.00e+00 0.0 3.0e+01 2.9e+03 6.6e+01 2 0 4 5 5 2 0 4 5 5 0 MatMatMultNum 3 1.0 2.9519e-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 0 768 MatPtAP 3 1.0 3.1046e-02 1.0 7.26e+06 1.1 5.4e+01 8.9e+03 7.5e+01 10 20 8 28 6 10 20 8 28 6 443 MatPtAPSymbolic 3 1.0 1.5790e-02 1.0 0.00e+00 0.0 3.6e+01 1.0e+04 4.5e+01 5 0 5 22 4 5 0 5 22 4 0 MatPtAPNumeric 3 1.0 1.5250e-02 1.0 7.26e+06 1.1 1.8e+01 5.8e+03 3.0e+01 5 20 3 6 2 5 20 3 6 2 902 MatTrnMatMult 3 1.0 7.6237e-03 1.0 3.04e+05 1.0 3.6e+01 4.3e+03 8.7e+01 2 1 5 9 7 2 1 5 9 7 79 MatGetLocalMat 15 1.0 7.2718e-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 1.2558e-03 1.0 0.00e+00 0.0 4.2e+01 1.1e+04 1.2e+01 0 0 6 27 1 0 0 6 27 1 0 MatGetSymTrans 6 1.0 2.0194e-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 8.6069e-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 0 140 VecMDot 30 1.0 1.8759e-03 1.1 3.32e+05 1.0 0.0e+00 0.0e+00 3.0e+01 1 1 0 0 2 1 1 0 0 2 354 VecTDot 38 1.0 1.1563e-03 1.3 7.66e+04 1.0 0.0e+00 0.0e+00 3.8e+01 0 0 0 0 3 0 0 0 0 3 132 VecNorm 55 1.0 1.7371e-03 1.1 1.11e+05 1.0 0.0e+00 0.0e+00 5.5e+01 1 0 0 0 4 1 0 0 0 4 127 VecScale 99 1.0 1.1182e-04 1.0 4.92e+04 1.0 0.0e+00 0.0e+00 0.0e+00 0 0 0 0 0 0 0 0 0 0 872 VecCopy 9 1.0 1.5020e-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 VecSet 193 1.0 7.1049e-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 41 1.0 6.8903e-05 1.0 8.27e+04 1.0 0.0e+00 0.0e+00 0.0e+00 0 0 0 0 0 0 0 0 0 0 2396 VecAYPX 38 1.0 8.2731e-05 1.1 5.44e+04 1.0 0.0e+00 0.0e+00 0.0e+00 0 0 0 0 0 0 0 0 0 0 1314 VecMAXPY 33 1.0 1.9479e-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 4030 VecAssemblyBegin 90 1.0 5.7440e-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 6.9141e-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 33 1.0 7.1764e-05 1.0 3.33e+04 1.0 0.0e+00 0.0e+00 0.0e+00 0 0 0 0 0 0 0 0 0 0 926 VecScatterBegin 271 1.0 2.4791e-03 1.2 0.00e+00 0.0 5.0e+02 1.5e+03 0.0e+00 1 0 70 42 0 1 0 70 42 0 0 VecScatterEnd 271 1.0 8.3449e-03 1.1 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00 2 0 0 0 0 2 0 0 0 0 0 VecSetRandom 3 1.0 4.9114e-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 9.8944e-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 2.0757e-03 1.0 6.65e+05 1.0 0.0e+00 0.0e+00 3.0e+01 1 2 0 0 2 1 2 0 0 2 640 KSPSetUp 18 1.0 5.4741e-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 1.2476e-01 1.0 3.36e+07 1.0 7.0e+02 2.4e+03 1.2e+03 38100 99100 96 38100 99100 96 538 PCSetUp 6 1.0 1.0385e-01 1.0 1.30e+07 1.0 4.4e+02 2.9e+03 1.1e+03 32 38 62 75 91 32 38 62 75 91 247 PCSetUpOnBlocks 22 1.0 1.7014e-0315.5 1.12e+06 0.0 0.0e+00 0.0e+00 1.8e+01 0 2 0 0 1 0 2 0 0 1 656 PCApply 22 1.0 1.8538e-02 1.0 1.96e+07 1.0 2.2e+02 1.6e+03 1.8e+01 6 57 31 21 1 6 57 31 21 1 2064 PCGAMGgraph_AGG 1 1.0 6.1300e-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 3.8400e-03 1.0 1.01e+05 1.0 3.0e+01 2.3e+03 6.6e+01 1 0 4 4 5 1 0 4 4 5 53 PCGAMGProl_AGG 1 1.0 4.3490e-03 1.0 0.00e+00 0.0 4.8e+01 1.1e+03 1.1e+02 1 0 7 3 9 1 0 7 3 9 0 PCGAMGPOpt_AGG 1 1.0 6.3870e-03 1.0 1.71e+06 1.0 3.2e+01 2.7e+03 5.6e+01 2 5 4 5 4 2 5 4 5 4 530 PCGAMGgraph_AGG 1 1.0 5.5709e-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 3.6731e-03 1.0 1.01e+05 1.0 3.0e+01 2.3e+03 6.6e+01 1 0 4 4 5 1 0 4 4 5 55 PCGAMGProl_AGG 1 1.0 3.9611e-03 1.0 0.00e+00 0.0 4.8e+01 1.1e+03 1.1e+02 1 0 7 3 9 1 0 7 3 9 0 PCGAMGPOpt_AGG 1 1.0 5.8961e-03 1.0 1.71e+06 1.0 3.2e+01 2.7e+03 5.6e+01 2 5 4 5 4 2 5 4 5 4 574 PCGAMGgraph_AGG 1 1.0 5.6281e-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 3.6590e-03 1.0 1.01e+05 1.0 3.0e+01 2.3e+03 6.6e+01 1 0 4 4 5 1 0 4 4 5 55 PCGAMGProl_AGG 1 1.0 3.9470e-03 1.0 0.00e+00 0.0 4.8e+01 1.1e+03 1.1e+02 1 0 7 3 9 1 0 7 3 9 0 PCGAMGPOpt_AGG 1 1.0 6.0329e-03 1.0 1.71e+06 1.0 3.2e+01 2.7e+03 5.6e+01 2 5 4 5 4 2 5 4 5 4 561 ------------------------------------------------------------------------------------------------------------------------ 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 297 297 1727384 0 Vector Scatter 28 28 29456 0 Index Set 98 98 86424 0 Krylov Solver 18 18 160200 0 Preconditioner 18 18 18132 0 Viewer 4 3 2184 0 PetscRandom 3 3 1872 0 ======================================================================================================================== Average time to get PetscTime(): 9.53674e-08 Average time for MPI_Barrier(): 4.80175e-05 Average time for zero size MPI_Send(): 8.09431e-05 #PETSc Option Table entries: -ksp_monitor -ksp_type cg -ksp_view -log_summary -mg_levels_ksp_type richardson -mg_levels_pc_type sor -options_left -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 -mg_levels_ksp_type richardson -mg_levels_pc_type sor -options_left -pc_gamg_type agg -pc_type gamg #End of PETSc Option Table entries There are no unused options.