[petsc-users] sundials results do not agree with beuler/rosw/pseudo
Gautam Bisht
gbisht at lbl.gov
Tue Nov 4 00:56:58 CST 2014
Hi,
I'm solving subsurface flow equation in which the governing ODE is
reformulated as a system of DAE. I'm using PETSc TS+DMComposite to solve
the system with a LU preconditioner. I get comparable results for BEULER,
ROSW and PSEUDO ts_type. But results with SUNDIALS for even a single TS
step are significantly underestimated when compared to those obtained for
the other ts_types. I would appreciate if folks would suggest ideas on how
can I go about figuring out what is going wrong with SUNDIALS.
I'm using following PETSc options:
>/opt/local/bin/mpiexec -n 1 $EXEROOT/cesm.exe \
-ts_monitor \
-ts_view \
-snes_monitor \
-pc_type lu \
-ts_type sundials -ts_sundials_monitor_steps \
-ts_dt 1.0 -ts_final_time 1.0
0 TS dt 1 time 0
1 TS dt 1 time 1
TS Object: 1 MPI processes
type: sundials
maximum steps=100000
maximum time=1
total number of nonlinear solver iterations=0
total number of nonlinear solve failures=0
total number of linear solver iterations=0
total number of rejected steps=0
Sundials integrater does not use SNES!
Sundials integrater type BDF: backward differentiation formula
Sundials abs tol 1e-06 rel tol 1e-06
Sundials linear solver tolerance factor 0.05
Sundials max dimension of Krylov subspace 5
Sundials using unmodified (classical) Gram-Schmidt for orthogonalization
in GMRES
Sundials suggested factor for tolerance scaling 1
Sundials cumulative number of internal steps 1
Sundials no. of calls to rhs function 2
Sundials no. of calls to linear solver setup function 1
Sundials no. of error test failures 0
Sundials no. of nonlinear solver iterations 1
Sundials no. of nonlinear convergence failure 0
Sundials no. of linear iterations 0
Sundials no. of linear convergence failures 0
PC Object: 1 MPI processes
type: lu
PC has not been set up so information may be incomplete
LU: out-of-place factorization
tolerance for zero pivot 2.22045e-14
matrix ordering: nd
linear system matrix = precond matrix:
Mat Object: 1 MPI processes
type: seqaij
rows=200, cols=200
total: nonzeros=598, allocated nonzeros=3200
total number of mallocs used during MatSetValues calls =200
not using I-node routines
Sundials no. of preconditioner evaluations 1
Sundials no. of preconditioner solves 0
Sundials no. of Jacobian-vector product evaluations 0
Sundials no. of rhs calls for finite diff. Jacobian-vector evals 0
Thanks,
-Gautam.
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