Hi Matt,
I attached the output of the commands you suggested.
The options I used are:
-log_summary -ksp_monitor -ksp_view -ksp_converged_reason -pc_type mg
-pc_mg_galerkin -pc_mg_levels 5 -options_left
and here are the lines of codes where I setup the solution process:
call DMDACreate3d( PETSC_COMM_WORLD
, &
& DMDA_BOUNDARY_PERIODIC ,
DMDA_BOUNDARY_PERIODIC, &
& DMDA_BOUNDARY_PERIODIC ,
DMDA_STENCIL_STAR, &
& N_Z , N_Y , N_X , N_B3 , N_B2 , 1_ip, 1_ip , 1_ip , &
& NNZ ,NNY , NNX, da , ierr)
! Create Global Vectors
call DMCreateGlobalVector(da,b,ierr)
call VecDuplicate(b,x,ierr)
! Set initial guess for first use of the module to 0
call VecSet(x,0.0_rp,ierr)
! Create matrix
call DMCreateMatrix(da,MATAIJ,A,ierr)
! Create solver
call KSPCreate(PETSC_COMM_WORLD,ksp,ierr)
call KSPSetDM(ksp,da,ierr)
call KSPSetDMActive(ksp,PETSC_FALSE,ierr)
call KSPSetOperators(ksp,A,A,SAME_NONZERO_PATTERN,ierr)
call KSPSetType(ksp,KSPCG,ierr)
call KSPSetNormType(ksp,KSP_NORM_UNPRECONDITIONED,ierr)
call KSPSetInitialGuessNonzero(ksp,PETSC_TRUE,ierr)
call KSPSetTolerances(ksp, tol ,PETSC_DEFAULT_DOUBLE_PRECISION,&
& PETSC_DEFAULT_DOUBLE_PRECISION,PETSC_DEFAULT_INTEGER,ierr)
! Nullspace removal
call MatNullSpaceCreate(
PETSC_COMM_WORLD,PETSC_TRUE,PETSC_NULL_INTEGER,&
& PETSC_NULL_INTEGER,nullspace,ierr)
call KSPSetNullspace(ksp,nullspace,ierr)
call MatNullSpaceDestroy(nullspace,ierr)
! To allow using option from command line
call KSPSetFromOptions(ksp,ierr)
Hope I did not omit anything useful.
Thank you for your time.
Best,
Michele
On 08/13/2013 04:26 PM, Matthew Knepley wrote:
On Tue, Aug 13, 2013 at 6:09 PM, Michele Rosso <mro...@uci.edu
<mailto:mro...@uci.edu>> wrote:
Hi Karli,
thank you for your hint: now it works.
Now I would like to speed up the solution: I was counting on
increasing the number of levels/the number of processors used, but
now I see I cannot do that.
Do you have any hint to achieve better speed?
Thanks!
"Better speed" is not very helpful for us, and thus we cannot offer
much help. You could
1) Send the output of -log_summary -ksp_monitor -ksp_view
2) Describe the operator succintly
Matt
Best,
Michele
0 KSP Residual norm 3.653385002401e-05
1 KSP Residual norm 9.460380827787e-07
2 KSP Residual norm 2.745875833479e-08
3 KSP Residual norm 4.613281252783e-10
Linear solve converged due to CONVERGED_RTOL iterations 3
KSP Object: 8 MPI processes
type: cg
maximum iterations=10000
tolerances: relative=0.0001, absolute=1e-50, divergence=10000
left preconditioning
has attached null space
using nonzero initial guess
using UNPRECONDITIONED norm type for convergence test
PC Object: 8 MPI processes
type: mg
MG: type is MULTIPLICATIVE, levels=5 cycles=v
Cycles per PCApply=1
Using Galerkin computed coarse grid matrices
Coarse grid solver -- level -------------------------------
KSP Object: (mg_coarse_) 8 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_) 8 MPI processes
type: redundant
Redundant preconditioner: First (color=0) of 8 PCs follows
KSP Object: (mg_coarse_redundant_) 1 MPI processes
type: preonly
maximum iterations=10000, 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_redundant_) 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
matrix ordering: nd
factor fill ratio given 5, needed 8.69546
Factored matrix follows:
Matrix Object: 1 MPI processes
type: seqaij
rows=512, cols=512
package used to perform factorization: petsc
total: nonzeros=120206, allocated nonzeros=120206
total number of mallocs used during MatSetValues calls =0
not using I-node routines
linear system matrix = precond matrix:
Matrix Object: 1 MPI processes
type: seqaij
rows=512, cols=512
total: nonzeros=13824, allocated nonzeros=13824
total number of mallocs used during MatSetValues calls =0
not using I-node routines
linear system matrix = precond matrix:
Matrix Object: 8 MPI processes
type: mpiaij
rows=512, cols=512
total: nonzeros=13824, allocated nonzeros=13824
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_) 8 MPI processes
type: chebyshev
Chebyshev: eigenvalue estimates: min = 0.140194, max = 1.54213
Chebyshev: estimated using: [0 0.1; 0 1.1]
KSP Object: (mg_levels_1_est_) 8 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=10
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_) 8 MPI processes
type: sor
SOR: type = local_symmetric, iterations = 1, local iterations = 1,
omega = 1
linear system matrix = precond matrix:
Matrix Object: 8 MPI processes
type: mpiaij
rows=4096, cols=4096
total: nonzeros=110592, allocated nonzeros=110592
total number of mallocs used during MatSetValues calls =0
not using I-node (on process 0) routines
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_) 8 MPI processes
type: sor
SOR: type = local_symmetric, iterations = 1, local iterations = 1,
omega = 1
linear system matrix = precond matrix:
Matrix Object: 8 MPI processes
type: mpiaij
rows=4096, cols=4096
total: nonzeros=110592, allocated nonzeros=110592
total number of mallocs used during MatSetValues calls =0
not using I-node (on process 0) routines
Up solver (post-smoother) same as down solver (pre-smoother)
Down solver (pre-smoother) on level 2 -------------------------------
KSP Object: (mg_levels_2_) 8 MPI processes
type: chebyshev
Chebyshev: eigenvalue estimates: min = 0.139949, max = 1.53944
Chebyshev: estimated using: [0 0.1; 0 1.1]
KSP Object: (mg_levels_2_est_) 8 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=10
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_2_) 8 MPI processes
type: sor
SOR: type = local_symmetric, iterations = 1, local iterations = 1,
omega = 1
linear system matrix = precond matrix:
Matrix Object: 8 MPI processes
type: mpiaij
rows=32768, cols=32768
total: nonzeros=884736, allocated nonzeros=884736
total number of mallocs used during MatSetValues calls =0
not using I-node (on process 0) routines
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_2_) 8 MPI processes
type: sor
SOR: type = local_symmetric, iterations = 1, local iterations = 1,
omega = 1
linear system matrix = precond matrix:
Matrix Object: 8 MPI processes
type: mpiaij
rows=32768, cols=32768
total: nonzeros=884736, allocated nonzeros=884736
total number of mallocs used during MatSetValues calls =0
not using I-node (on process 0) routines
Up solver (post-smoother) same as down solver (pre-smoother)
Down solver (pre-smoother) on level 3 -------------------------------
KSP Object: (mg_levels_3_) 8 MPI processes
type: chebyshev
Chebyshev: eigenvalue estimates: min = 0.135788, max = 1.49366
Chebyshev: estimated using: [0 0.1; 0 1.1]
KSP Object: (mg_levels_3_est_) 8 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=10
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_3_) 8 MPI processes
type: sor
SOR: type = local_symmetric, iterations = 1, local iterations = 1,
omega = 1
linear system matrix = precond matrix:
Matrix Object: 8 MPI processes
type: mpiaij
rows=262144, cols=262144
total: nonzeros=7077888, allocated nonzeros=7077888
total number of mallocs used during MatSetValues calls =0
not using I-node (on process 0) routines
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_3_) 8 MPI processes
type: sor
SOR: type = local_symmetric, iterations = 1, local iterations = 1,
omega = 1
linear system matrix = precond matrix:
Matrix Object: 8 MPI processes
type: mpiaij
rows=262144, cols=262144
total: nonzeros=7077888, allocated nonzeros=7077888
total number of mallocs used during MatSetValues calls =0
not using I-node (on process 0) routines
Up solver (post-smoother) same as down solver (pre-smoother)
Down solver (pre-smoother) on level 4 -------------------------------
KSP Object: (mg_levels_4_) 8 MPI processes
type: chebyshev
Chebyshev: eigenvalue estimates: min = 0.138904, max = 1.52794
Chebyshev: estimated using: [0 0.1; 0 1.1]
KSP Object: (mg_levels_4_est_) 8 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=10
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_4_) 8 MPI processes
type: sor
SOR: type = local_symmetric, iterations = 1, local iterations = 1,
omega = 1
linear system matrix = precond matrix:
Matrix Object: 8 MPI processes
type: mpiaij
rows=2097152, cols=2097152
total: nonzeros=14680064, allocated nonzeros=14680064
total number of mallocs used during MatSetValues calls =0
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_4_) 8 MPI processes
type: sor
SOR: type = local_symmetric, iterations = 1, local iterations = 1,
omega = 1
linear system matrix = precond matrix:
Matrix Object: 8 MPI processes
type: mpiaij
rows=2097152, cols=2097152
total: nonzeros=14680064, allocated nonzeros=14680064
total number of mallocs used during MatSetValues calls =0
Up solver (post-smoother) same as down solver (pre-smoother)
linear system matrix = precond matrix:
Matrix Object: 8 MPI processes
type: mpiaij
rows=2097152, cols=2097152
total: nonzeros=14680064, allocated nonzeros=14680064
total number of mallocs used during MatSetValues calls =0
************************************************************************************************************************
*** WIDEN YOUR WINDOW TO 120 CHARACTERS. Use 'enscript -r
-fCourier9' to print this document ***
************************************************************************************************************************
---------------------------------------------- PETSc Performance Summary:
----------------------------------------------
./hit on a arch-cray-xt5-pkgs-opt named nid14554 with 8 processors, by Unknown
Tue Aug 13 19:53:41 2013
Using Petsc Release Version 3.4.2, Jul, 02, 2013
Max Max/Min Avg Total
Time (sec): 6.402e+00 1.00011 6.402e+00
Objects: 2.970e+02 1.00000 2.970e+02
Flops: 6.953e+08 1.00000 6.953e+08 5.562e+09
Flops/sec: 1.086e+08 1.00011 1.086e+08 8.688e+08
MPI Messages: 1.170e+03 1.00000 1.170e+03 9.360e+03
MPI Message Lengths: 1.565e+07 1.00000 1.338e+04 1.252e+08
MPI Reductions: 6.260e+02 1.00000
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: 6.4021e+00 100.0% 5.5620e+09 100.0% 9.360e+03 100.0%
1.338e+04 100.0% 6.250e+02 99.8%
------------------------------------------------------------------------------------------------------------------------
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 (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
VecMDot 40 1.0 9.1712e-02 1.0 3.29e+07 1.0 0.0e+00 0.0e+00
4.0e+01 1 5 0 0 6 1 5 0 0 6 2874
VecTDot 10 1.0 2.3873e-02 1.1 5.24e+06 1.0 0.0e+00 0.0e+00
1.0e+01 0 1 0 0 2 0 1 0 0 2 1757
VecNorm 52 1.0 2.3764e-02 1.3 1.08e+07 1.0 0.0e+00 0.0e+00
5.2e+01 0 2 0 0 8 0 2 0 0 8 3630
VecScale 124 1.0 2.6341e-02 1.4 9.29e+06 1.0 0.0e+00 0.0e+00
0.0e+00 0 1 0 0 0 0 1 0 0 0 2820
VecCopy 27 1.0 1.7691e-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
VecSet 109 1.0 1.7006e-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 178 1.0 1.1252e-01 1.2 3.04e+07 1.0 0.0e+00 0.0e+00
0.0e+00 2 4 0 0 0 2 4 0 0 0 2162
VecAYPX 164 1.0 1.0078e-01 1.1 1.68e+07 1.0 0.0e+00 0.0e+00
0.0e+00 1 2 0 0 0 1 2 0 0 0 1334
VecMAXPY 44 1.0 1.1766e-01 1.0 3.89e+07 1.0 0.0e+00 0.0e+00
0.0e+00 2 6 0 0 0 2 6 0 0 0 2647
VecScatterBegin 228 1.0 5.5004e-02 1.1 0.00e+00 0.0 7.4e+03 1.4e+04
0.0e+00 1 0 79 82 0 1 0 79 82 0 0
VecScatterEnd 228 1.0 4.0928e-02 1.8 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 44 1.0 1.8650e-02 1.3 9.88e+06 1.0 0.0e+00 0.0e+00
4.4e+01 0 1 0 0 7 0 1 0 0 7 4240
MatMult 170 1.0 9.7667e-01 1.0 2.41e+08 1.0 6.0e+03 1.6e+04
0.0e+00 15 35 65 77 0 15 35 65 77 0 1977
MatMultAdd 20 1.0 5.1495e-02 1.1 1.01e+07 1.0 4.8e+02 2.8e+03
0.0e+00 1 1 5 1 0 1 1 5 1 0 1570
MatMultTranspose 24 1.0 6.8663e-02 1.2 1.21e+07 1.0 5.8e+02 2.8e+03
0.0e+00 1 2 6 1 0 1 2 6 1 0 1413
MatSolve 5 1.0 3.2754e-03 1.0 1.20e+06 1.0 0.0e+00 0.0e+00
0.0e+00 0 0 0 0 0 0 0 0 0 0 2930
MatSOR 164 1.0 1.7211e+00 1.0 2.26e+08 1.0 0.0e+00 0.0e+00
0.0e+00 27 32 0 0 0 27 32 0 0 0 1050
MatLUFactorSym 1 1.0 3.0711e-03 1.0 0.00e+00 0.0 0.0e+00 0.0e+00
3.0e+00 0 0 0 0 0 0 0 0 0 0 0
MatLUFactorNum 1 1.0 2.4564e-02 1.0 1.95e+07 1.0 0.0e+00 0.0e+00
0.0e+00 0 3 0 0 0 0 3 0 0 0 6355
MatAssemblyBegin 20 1.0 8.0438e-03 1.5 0.00e+00 0.0 0.0e+00 0.0e+00
2.2e+01 0 0 0 0 4 0 0 0 0 4 0
MatAssemblyEnd 20 1.0 1.3442e-01 1.0 0.00e+00 0.0 5.6e+02 2.1e+03
7.2e+01 2 0 6 1 12 2 0 6 1 12 0
MatGetRowIJ 1 1.0 1.1206e-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
MatGetOrdering 1 1.0 4.0507e-04 1.0 0.00e+00 0.0 0.0e+00 0.0e+00
2.0e+00 0 0 0 0 0 0 0 0 0 0 0
MatView 24 1.2 1.7951e-03 2.4 0.00e+00 0.0 0.0e+00 0.0e+00
2.0e+01 0 0 0 0 3 0 0 0 0 3 0
MatPtAP 4 1.0 6.4214e-01 1.0 4.06e+07 1.0 1.1e+03 1.7e+04
1.0e+02 10 6 12 16 16 10 6 12 16 16 506
MatPtAPSymbolic 4 1.0 3.7196e-01 1.0 0.00e+00 0.0 7.2e+02 2.0e+04
6.0e+01 6 0 8 12 10 6 0 8 12 10 0
MatPtAPNumeric 4 1.0 2.7023e-01 1.0 4.06e+07 1.0 4.2e+02 1.2e+04
4.0e+01 4 6 4 4 6 4 6 4 4 6 1201
MatGetRedundant 1 1.0 8.0895e-04 1.1 0.00e+00 0.0 1.7e+02 7.1e+03
4.0e+00 0 0 2 1 1 0 0 2 1 1 0
MatGetLocalMat 4 1.0 4.0415e-02 1.0 0.00e+00 0.0 0.0e+00 0.0e+00
8.0e+00 1 0 0 0 1 1 0 0 0 1 0
MatGetBrAoCol 4 1.0 1.7636e-02 1.0 0.00e+00 0.0 4.3e+02 2.7e+04
8.0e+00 0 0 5 9 1 0 0 5 9 1 0
MatGetSymTrans 8 1.0 1.3187e-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
KSPGMRESOrthog 40 1.0 1.8928e-01 1.0 6.59e+07 1.0 0.0e+00 0.0e+00
4.0e+01 3 9 0 0 6 3 9 0 0 6 2785
KSPSetUp 11 1.0 3.2629e-02 1.1 0.00e+00 0.0 0.0e+00 0.0e+00
7.2e+01 0 0 0 0 12 0 0 0 0 12 0
KSPSolve 2 1.0 3.3489e+00 1.0 6.33e+08 1.0 7.3e+03 1.4e+04
2.3e+02 52 91 78 79 36 52 91 78 79 36 1512
PCSetUp 1 1.0 8.6804e-01 1.0 6.21e+07 1.0 1.9e+03 1.1e+04
3.2e+02 14 9 21 17 52 14 9 21 17 52 572
PCApply 5 1.0 3.1772e+00 1.0 5.96e+08 1.0 7.1e+03 1.3e+04
2.0e+02 49 86 76 72 33 49 86 76 72 33 1501
------------------------------------------------------------------------------------------------------------------------
Memory usage is given in bytes:
Object Type Creations Destructions Memory Descendants' Mem.
Reports information only for process 0.
--- Event Stage 0: Main Stage
Container 1 1 564 0
Vector 139 139 71560728 0
Vector Scatter 21 21 22092 0
Matrix 37 37 75834272 0
Matrix Null Space 1 1 596 0
Distributed Mesh 5 5 2740736 0
Bipartite Graph 10 10 7920 0
Index Set 50 50 1546832 0
IS L to G Mapping 5 5 1361108 0
Krylov Solver 11 11 129320 0
DMKSP interface 3 3 1944 0
Preconditioner 11 11 9840 0
Viewer 3 2 1456 0
========================================================================================================================
Average time to get PetscTime(): 9.53674e-08
Average time for MPI_Barrier(): 2.43187e-06
Average time for zero size MPI_Send(): 2.5034e-06
#PETSc Option Table entries:
-ksp_converged_reason
-ksp_monitor
-ksp_view
-log_summary
-options_left
-pc_mg_galerkin
-pc_mg_levels 5
-pc_type mg
#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: Wed Jul 31 22:48:06 2013
Configure options: --known-level1-dcache-size=65536
--known-level1-dcache-linesize=64 --known-level1-dcache-assoc=2
--known-memcmp-ok=1 --known-sizeof-char=1 --known-sizeof-void-p=8
--known-sizeof-short=2 --known-sizeof-int=4 --known-sizeof-long=8
--known-sizeof-long-long=8 --known-sizeof-float=4 --known-sizeof-double=8
--known-sizeof-size_t=8 --known-bits-per-byte=8 --known-sizeof-MPI_Comm=4
--known-sizeof-MPI_Fint=4 --known-mpi-long-double=0
--known-mpi-c-double-complex=0 --with-cc=cc --with-cxx=CC --with-fc=ftn
--with-clib-autodetect=0 --with-cxxlib-autodetect=0
--with-fortranlib-autodetect=0 --with-debugging=0 --COPTFLAGS="-fastsse
-Mipa=fast -mp" --CXXOPTFLAGS="-fastsse -Mipa=fast -mp" --FOPTFLAGS="-fastsse
-Mipa=fast -mp" --with-blas-lapack-lib="-L/opt/acml/4.4.0/pgi64/lib -lacml
-lacml_mv" --with-shared-libraries=0 --with-x=0 --with-batch
--known-mpi-shared-libraries=0 PETSC_ARCH=arch-cray-xt5-pkgs-opt
-----------------------------------------
Libraries compiled on Wed Jul 31 22:48:06 2013 on krakenpf1
Machine characteristics:
Linux-2.6.27.48-0.12.1_1.0301.5943-cray_ss_s-x86_64-with-SuSE-11-x86_64
Using PETSc directory: /nics/c/home/mrosso/LIBS/petsc-3.4.2
Using PETSc arch: arch-cray-xt5-pkgs-opt
-----------------------------------------
Using C compiler: cc -fastsse -Mipa=fast -mp ${COPTFLAGS} ${CFLAGS}
Using Fortran compiler: ftn -fastsse -Mipa=fast -mp ${FOPTFLAGS} ${FFLAGS}
-----------------------------------------
Using include paths:
-I/nics/c/home/mrosso/LIBS/petsc-3.4.2/arch-cray-xt5-pkgs-opt/include
-I/nics/c/home/mrosso/LIBS/petsc-3.4.2/include
-I/nics/c/home/mrosso/LIBS/petsc-3.4.2/include
-I/nics/c/home/mrosso/LIBS/petsc-3.4.2/arch-cray-xt5-pkgs-opt/include
-I/opt/cray/portals/2.2.0-1.0301.26633.6.9.ss/include
-I/opt/cray/pmi/2.1.4-1.0000.8596.15.1.ss/include
-I/opt/cray/mpt/5.3.5/xt/seastar/mpich2-pgi/109/include
-I/opt/acml/4.4.0/pgi64/include
-I/opt/xt-libsci/11.0.04/pgi/109/istanbul/include
-I/opt/fftw/3.3.0.0/x86_64/include -I/usr/include/alps
-----------------------------------------
Using C linker: cc
Using Fortran linker: ftn
Using libraries:
-Wl,-rpath,/nics/c/home/mrosso/LIBS/petsc-3.4.2/arch-cray-xt5-pkgs-opt/lib
-L/nics/c/home/mrosso/LIBS/petsc-3.4.2/arch-cray-xt5-pkgs-opt/lib -lpetsc
-L/opt/acml/4.4.0/pgi64/lib -lacml -lacml_mv -lpthread -ldl
-----------------------------------------
#PETSc Option Table entries:
-ksp_converged_reason
-ksp_monitor
-ksp_view
-log_summary
-options_left
-pc_mg_galerkin
-pc_mg_levels 5
-pc_type mg
#End of PETSc Option Table entries
There are no unused options.
