DA,
1, Will check_inode affect the runtime performance? For example, in my case,
there are such different logs:
[0] Mat_CheckInode(): Found 18602 nodes out of 18609 rows. Not using Inode
routines
[0] Mat_CheckInode(): Found 0 nodes of 0. Limit used: 5. Using Inode
routines
[0] Mat_CheckInode(): Found 14020 nodes out of 14020 rows. Not using Inode
routines
2, Here is the log_summary, looks like PCSetup is big time-consuming function,
the method I'm using is ILU(1) & GMRES, may I improve it?
MatMult 30733 1.0 8.9553e+01 1.0 3.41e+10 1.0 0.0e+00 0.0e+00
0.0e+00 2 4 0 0 0 2 4 0 0 0 380
MatMultAdd 9552 1.0 6.6610e+00 1.0 2.42e+09 1.0 0.0e+00 0.0e+00
0.0e+00 0 0 0 0 0 0 0 0 0 0 363
MatSolve 36236 1.0 2.4699e+02 1.0 9.44e+10 1.0 0.0e+00 0.0e+00
0.0e+00 6 10 0 0 0 6 10 0 0 0 382
MatLUFactorNum 2838 1.0 2.4328e+03 1.0 7.65e+11 1.0 0.0e+00 0.0e+00
0.0e+00 61 85 0 0 0 61 85 0 0 0 315
MatILUFactorSym 173 1.0 1.3486e+02 1.0 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
MatAssemblyBegin 5787 1.0 2.0547e-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
MatAssemblyEnd 5787 1.0 5.3559e+00 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 30679 1.0 5.5968e+00 1.0 4.06e+09 1.0 0.0e+00 0.0e+00
0.0e+00 0 0 0 0 0 0 0 0 0 0 725
KSPSetup 2838 1.0 1.8219e-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
KSPSolve 5503 1.0 2.9136e+03 1.0 8.99e+11 1.0 0.0e+00 0.0e+00
0.0e+00 73100 0 0 0 73100 0 0 0 308
PCSetUp 2838 1.0 2.5682e+03 1.0 7.65e+11 1.0 0.0e+00 0.0e+00
0.0e+00 64 85 0 0 0 64 85 0 0 0 298
PCApply 36236 1.0 2.4709e+02 1.0 9.44e+10 1.0 0.0e+00 0.0e+00
0.0e+00 6 10 0 0 0 6 10 0 0 0 382
The matrix size is around 50000*50000, nnz is ~2000000
3, Will the fill of ilu affect the runtime performance?
[0] MatILUFactorSymbolic_SeqAIJ(): Reallocs 0 Fill ratio:given 1 needed
1.11111
[0] MatILUFactorSymbolic_SeqAIJ(): Reallocs 1 Fill ratio:given 1 needed
5.05
[0] MatILUFactorSymbolic_SeqAIJ(): Reallocs 1 Fill ratio:given 1 needed
8.3410
How to set a proper value for fill, >8?
Thanks,
Debao
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