Please find enclosed the log summary for the runs.
I used the following options for Prometheus and GAMG:
Prometheus:
-ksp_type cg -pc_type prometheus -log_summary -ksp_monitor -ksp_view
-aggmg_smooths 1 -options_left
GAMG:
-ksp_type cg -pc_type gamg -pc_gamg_type agg -pc_gamg_agg_nsmooths 1
-log_summary -ksp_monitor -ksp_view -options_left
> Make sure to use the same smoother you used with Prometheus.
How can I make sure, that the same smoothing is applied in both cases?
Many thanks and best regards,
Thomas
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 8.3.19
DATE: 29 March 2011
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; 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:
[email protected]
0 KSP Residual norm 1.444126847260e-01
1 KSP Residual norm 5.357525404213e-03
2 KSP Residual norm 1.471040678379e-03
3 KSP Residual norm 3.704652302293e-04
4 KSP Residual norm 9.809180893460e-05
5 KSP Residual norm 3.175497350277e-05
6 KSP Residual norm 8.859979496890e-06
7 KSP Residual norm 2.071384344082e-06
8 KSP Residual norm 5.035483717523e-07
9 KSP Residual norm 1.516500637412e-07
10 KSP Residual norm 5.134577847338e-08
11 KSP Residual norm 1.270806138401e-08
12 KSP Residual norm 3.074793756862e-09
13 KSP Residual norm 1.048189477307e-09
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: prometheus
linear system matrix = precond matrix:
Matrix Object: 2 MPI processes
type: mpibaij
rows=2013, cols=2013
total: nonzeros=100899, allocated nonzeros=100899
total number of mallocs used during MatSetValues calls =0
block size is 3
************************************************************************************************************************
*** WIDEN YOUR WINDOW TO 120 CHARACTERS. Use 'enscript -r
-fCourier9' to print this document ***
************************************************************************************************************************
---------------------------------------------- PETSc Performance Summary:
----------------------------------------------
/usr2/tgross/parFEAP/parFEAP83_mod/ver83/parfeap/feap on a linux-gnu named
ilfb35.ilsb.tuwien.ac.at with 2 processors, by tgross Mon Jan 27 17:11:10 2014
Using Petsc Release Version 3.2.0, Patch 7, Thu Mar 15 09:30:51 CDT 2012
Max Max/Min Avg Total
Time (sec): 1.379e-01 1.00662 1.374e-01
Objects: 6.800e+01 1.00000 6.800e+01
Flops: 4.104e+07 1.16967 3.807e+07 7.613e+07
Flops/sec: 2.997e+08 1.17742 2.771e+08 5.542e+08
MPI Messages: 1.515e+02 1.00664 1.510e+02 3.020e+02
MPI Message Lengths: 4.012e+05 1.02186 2.628e+03 7.938e+05
MPI Reductions: 2.170e+02 1.01402
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: 1.3742e-01 100.0% 7.6132e+07 100.0% 3.020e+02 100.0%
2.628e+03 100.0% 2.145e+02 98.8%
------------------------------------------------------------------------------------------------------------------------
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
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 50 1.0 4.6628e-03 1.6 5.02e+06 1.0 1.0e+02 1.4e+03
0.0e+00 3 13 33 18 0 3 13 33 18 0 2142
MatMultAdd 14 1.0 1.0583e-03 2.3 4.16e+05 1.1 1.4e+01 1.4e+03
0.0e+00 1 1 5 2 0 1 1 5 2 0 762
MatMultTranspose 14 1.0 5.5742e-04 1.2 4.16e+05 1.1 1.4e+01 1.4e+03
0.0e+00 0 1 5 2 0 0 1 5 2 0 1446
MatSolve 14 0.0 3.0231e-04 0.0 9.14e+05 0.0 0.0e+00 0.0e+00
0.0e+00 0 1 0 0 0 0 1 0 0 0 3023
MatLUFactorSym 1 1.0 4.2915e-05 3.9 0.00e+00 0.0 0.0e+00 0.0e+00
3.0e+00 0 0 0 0 1 0 0 0 0 1 0
MatLUFactorNum 1 1.0 1.9600e-03483.6 3.25e+06 0.0 0.0e+00 0.0e+00
0.0e+00 1 4 0 0 0 1 4 0 0 0 1659
MatAssemblyBegin 9 1.0 3.3593e-04 5.4 0.00e+00 0.0 0.0e+00 0.0e+00
2.1e+01 0 0 0 0 10 0 0 0 0 10 0
MatAssemblyEnd 9 1.0 8.5688e-04 1.0 0.00e+00 0.0 6.0e+00 2.3e+02
2.6e+01 1 0 2 0 12 1 0 2 0 12 0
MatGetRow 336 1.0 1.1373e-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
MatGetRowIJ 1 0.0 7.1526e-06 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
MatGetSubMatrice 1 1.0 1.3590e-04 2.0 0.00e+00 0.0 0.0e+00 0.0e+00
6.0e+00 0 0 0 0 3 0 0 0 0 3 0
MatGetOrdering 1 0.0 3.0041e-05 0.0 0.00e+00 0.0 0.0e+00 0.0e+00
1.0e+00 0 0 0 0 0 0 0 0 0 0 0
MatZeroEntries 2 1.0 4.2915e-05 1.3 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 1 1.0 4.0054e-05 1.6 0.00e+00 0.0 0.0e+00 0.0e+00
1.0e+00 0 0 0 0 0 0 0 0 0 0 0
VecDot 19 1.0 1.2422e-04 1.8 3.83e+04 1.0 0.0e+00 0.0e+00
1.9e+01 0 0 0 0 9 0 0 0 0 9 616
VecTDot 26 1.0 2.5082e-04 2.7 5.24e+04 1.0 0.0e+00 0.0e+00
2.6e+01 0 0 0 0 12 0 0 0 0 12 417
VecNorm 18 1.0 3.7885e-04 1.3 3.02e+04 1.0 0.0e+00 0.0e+00
1.8e+01 0 0 0 0 8 0 0 0 0 8 159
VecScale 28 1.0 4.0770e-05 1.2 2.82e+04 1.0 0.0e+00 0.0e+00
0.0e+00 0 0 0 0 0 0 0 0 0 0 1383
VecCopy 88 1.0 5.5552e-05 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
VecSet 145 1.0 6.1274e-05 1.3 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 58 1.0 7.9393e-05 1.1 1.17e+05 1.0 0.0e+00 0.0e+00
0.0e+00 0 0 0 0 0 0 0 0 0 0 2941
VecAYPX 48 1.0 8.5354e-05 1.0 6.85e+04 1.0 0.0e+00 0.0e+00
0.0e+00 0 0 0 0 0 0 0 0 0 0 1604
VecAssemblyBegin 3 1.0 2.4080e-05 1.2 0.00e+00 0.0 0.0e+00 0.0e+00
9.0e+00 0 0 0 0 4 0 0 0 0 4 0
VecAssemblyEnd 3 1.0 2.1458e-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
VecScatterBegin 106 1.0 1.4353e-04 1.3 0.00e+00 0.0 1.3e+02 1.4e+03
0.0e+00 0 0 42 22 0 0 0 42 22 0 0
VecScatterEnd 106 1.0 2.8653e-0320.9 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
KSPSetup 2 1.0 2.0027e-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
KSPSolve 1 1.0 4.6679e-02 1.0 4.10e+07 1.2 3.0e+02 2.7e+03
1.9e+02 34100 99100 86 34100 99100 87 1631
PCSetUp 1 1.0 4.1773e-02 1.1 3.50e+07 1.2 1.9e+02 3.4e+03
1.5e+02 30 85 62 81 68 30 85 62 81 69 1554
PCSetUpOnBlocks 1 1.0 2.0559e-0351.3 3.25e+06 0.0 0.0e+00 0.0e+00
5.0e+00 1 4 0 0 2 1 4 0 0 2 1582
PCApply 14 1.0 5.5327e-03 1.5 4.56e+06 1.2 8.4e+01 1.4e+03
0.0e+00 3 11 28 15 0 3 11 28 15 0 1498
FEI: init. str. 1 1.0 1.9560e-03 1.0 0.00e+00 0.0 4.0e+00 4.7e+03
9.0e+00 1 0 1 2 4 1 0 1 2 4 0
FEI: Prom setup 4 1.0 1.1263e-02 1.0 0.00e+00 0.0 1.6e+02 1.8e+03
2.2e+01 8 0 53 36 10 8 0 53 36 10 0
FEI: solv.setup 3 1.0 2.8233e-02 1.1 3.50e+07 1.2 2.3e+01 1.4e+04
1.1e+02 20 85 8 42 51 20 85 8 42 52 2300
FEI: BCs & reg. 1 1.0 6.1989e-05 1.0 0.00e+00 0.0 0.0e+00 0.0e+00
7.0e+00 0 0 0 0 3 0 0 0 0 3 0
FEI: MakeRest. 1 1.0 2.5464e-02 1.0 3.18e+07 1.1 2.3e+01 1.4e+04
6.7e+01 19 81 8 42 31 19 81 8 42 31 2422
FEI: SLESSolve*3 14 1.0 5.5134e-03 1.6 4.56e+06 1.2 8.4e+01 1.4e+03
0.0e+00 3 11 28 15 0 3 11 28 15 0 1503
Fine grid 1 1 1.0 1.5974e-05 1.2 0.00e+00 0.0 0.0e+00 0.0e+00
3.0e+00 0 0 0 0 1 0 0 0 0 1 0
MG++(new grid) 1 1 1.0 3.8149e-03 1.0 0.00e+00 0.0 1.1e+01 1.4e+04
1.0e+00 3 0 4 19 0 3 0 4 19 0 0
RAP 2 1 1.0 2.1625e-02 1.0 2.99e+07 1.1 1.0e+00 1.9e+05
1.6e+01 16 76 0 24 7 16 76 0 24 7 2682
SLES setup *2 1 1.0 2.5468e-02 1.0 3.18e+07 1.1 2.3e+01 1.4e+04
6.7e+01 19 81 8 42 31 19 81 8 42 31 2421
Prometheus *1 5 1.0 1.3446e-02 1.0 0.00e+00 0.0 1.6e+02 1.9e+03
3.2e+01 10 0 54 39 15 10 0 54 39 15 0
Coarse Grid Solv 14 1.0 4.7636e-04 3.7 9.14e+05 0.0 0.0e+00 0.0e+00
0.0e+00 0 1 0 0 0 0 1 0 0 0 1918
Grid coarsen 1 1 1.0 4.2310e-03 1.0 0.00e+00 0.0 1.2e+02 7.5e+02
1.1e+01 3 0 41 12 5 3 0 41 12 5 0
New Coarse 1 1 1.0 3.0611e-03 1.0 0.00e+00 0.0 2.3e+01 1.7e+03
6.5e+00 2 0 8 5 3 2 0 8 5 3 0
SmoothP 2 1 1.0 2.2371e-03 1.0 1.83e+06 1.0 2.0e+01 7.2e+03
2.8e+01 2 5 7 18 13 2 5 7 18 13 1634
CG Est. lamb.1 2 1 1.0 1.0400e-03 1.0 1.00e+06 1.0 1.8e+01 1.4e+03
2.8e+01 1 3 6 3 13 1 3 6 3 13 1915
AP_0 2 1 1.0 9.2292e-04 1.3 7.91e+05 1.0 0.0e+00 0.0e+00
0.0e+00 1 2 0 0 0 1 2 0 0 0 1714
RAP core 2 1 1.0 2.1017e-02 1.2 2.99e+07 1.1 0.0e+00 0.0e+00
0.0e+00 14 76 0 0 0 14 76 0 0 0 2760
RAP my assem. 2 1 1.0 4.2980e-0310.2 0.00e+00 0.0 1.0e+00 1.9e+05
1.0e+00 2 0 0 24 0 2 0 0 24 0 0
------------------------------------------------------------------------------------------------------------------------
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 11 8 1241380 0
Vector 33 32 228544 0
Vector Scatter 4 3 3180 0
Index Set 14 14 11872 0
Krylov Solver 2 2 2224 0
Preconditioner 3 3 2896 0
Viewer 1 0 0 0
========================================================================================================================
Average time to get PetscTime(): 0
Average time for MPI_Barrier(): 4.29153e-07
Average time for zero size MPI_Send(): 1.07288e-06
#PETSc Option Table entries:
-aggmg_smooths 1
-ksp_monitor
-ksp_type cg
-ksp_view
-log_summary
-mat_inode_limit 3
-options_left
-pc_type prometheus
#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
Configure run at: Tue Feb 12 09:44:26 2013
Configure options: --with-mpi-dir=/usr/local/openmpi/1.5.4/gcc/x86_64
--download-f-blas-lapack=1 --download-parmetis=1 --download-prometheus=1
--with-debugging=0 --with-shared-libraries=0 --download-spooles=1
--download-hypre=1 --download-superlu_dist=1
-----------------------------------------
Libraries compiled on Tue Feb 12 09:44:26 2013 on ilfb46.ilsb.tuwien.ac.at
Machine characteristics:
Linux-2.6.32-279.5.1.el6.x86_64-x86_64-with-redhat-6.3-Carbon
Using PETSc directory: /usr2/pahr/software/feap/petsc-3.2-p7
Using PETSc arch: linux-gnu-c
-----------------------------------------
Using C compiler: /usr/local/openmpi/1.5.4/gcc/x86_64/bin/mpicc -Wall
-Wwrite-strings -Wno-strict-aliasing -Wno-unknown-pragmas -O ${COPTFLAGS}
${CFLAGS}
Using Fortran compiler: /usr/local/openmpi/1.5.4/gcc/x86_64/bin/mpif90 -Wall
-Wno-unused-variable -O ${FOPTFLAGS} ${FFLAGS}
-----------------------------------------
Using include paths:
-I/usr2/pahr/software/feap/petsc-3.2-p7/linux-gnu-c/include
-I/usr2/pahr/software/feap/petsc-3.2-p7/include
-I/usr2/pahr/software/feap/petsc-3.2-p7/include
-I/usr2/pahr/software/feap/petsc-3.2-p7/linux-gnu-c/include
-I/usr/local/openmpi/1.5.4/gcc/x86_64/include -I/usr/local/include
-----------------------------------------
Using C linker: /usr/local/openmpi/1.5.4/gcc/x86_64/bin/mpicc
Using Fortran linker: /usr/local/openmpi/1.5.4/gcc/x86_64/bin/mpif90
Using libraries:
-Wl,-rpath,/usr2/pahr/software/feap/petsc-3.2-p7/linux-gnu-c/lib
-L/usr2/pahr/software/feap/petsc-3.2-p7/linux-gnu-c/lib -lpetsc -lX11 -lpthread
-Wl,-rpath,/usr2/pahr/software/feap/petsc-3.2-p7/linux-gnu-c/lib
-L/usr2/pahr/software/feap/petsc-3.2-p7/linux-gnu-c/lib -lpromfei -lprometheus
-lmpi_cxx -lstdc++ -lsuperlu_dist_2.5 -lparmetis -lmetis -lHYPRE -lmpi_cxx
-lstdc++ -lspooles -lflapack -lfblas -L/usr/local/lib64
-L/usr/local/lib64/openmpi -L/usr/local/openmpi/1.5.4/gcc/x86_64/lib64
-L/usr/lib/gcc/x86_64-redhat-linux/4.4.6 -ldl -lmpi -lnsl -lutil -lgcc_s
-lpthread -lmpi_f90 -lmpi_f77 -lgfortran -lm -lm -lm -lm -lmpi_cxx -lstdc++
-lmpi_cxx -lstdc++ -ldl -lmpi -lnsl -lutil -lgcc_s -lpthread -ldl
-----------------------------------------
#PETSc Option Table entries:
-aggmg_smooths 1
-ksp_monitor
-ksp_type cg
-ksp_view
-log_summary
-mat_inode_limit 3
-options_left
-pc_type prometheus
#End of PETSc Option Table entries
There are no unused options.
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:
[email protected]
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.
On Jan 27, 2014, at 4:34 PM, Jed Brown <[email protected]> wrote:
> Thomas Gross <[email protected]> writes:
>
>> Dear petsc users/developers,
>>
>> I am using petsc in a parallel FEAP framework
>> (http://www.ce.berkeley.edu/projects/feap/) for mechanics oriented problems
>> (mainly linear elasticity or plasticity).
>> In earlier petsc versions (3.2.7) I always used the petsc options:
>> -ksp_type cg -pc_type prometheus (with standard settings) and achieved a
>> great level of performance.
>>
>> After updating to petsc 3.4.3, where the “Prometheus” preconditioner was
>> replaced by “GAMG”, I can not reach the same level of performance. My
>> settings are:
>> -ksp_type cg -pc_type gamg -pc_gamg_type agg -pc_gamg_agg_nsmooths 1
>> (settings recommended for FEAP).
>>
>> Is there a set of GAMG settings, which are equivalent to the standard
>> Prometheus settings?
>
> Please send -log_summary -ksp_monitor -ksp_view output for both cases.
> Make sure to use the same smoother you used with Prometheus.
