Thank you Barry.

In my application, I set the smoothers to be Richardson iteration with ASM 
preconditioner, and use exact LU in the ASM subdomain solve. And for the coarse 
solve, I use the GMRES preconditioned ASM solver, again using LU factorization 
as the subdomain solve.

Yes, there are two different matrices for fine level, but since I am having a 
coarse grid, it should be two different matrices for coarse level. So I believe 
it needs 4 LU factorizations. But based on my -info output, it seems only 3 LU 
factorization are called in the program. I am confused about that.

Best

Yuqi

---- Original message ----
>Date: Wed, 4 Apr 2012 13:15:45 -0500
>From: petsc-users-bounces at mcs.anl.gov (on behalf of Barry Smith <bsmith at 
>mcs.anl.gov>)
>Subject: Re: [petsc-users] Questions about PCMG  
>To: PETSc users list <petsc-users at mcs.anl.gov>
>
>
>On Apr 4, 2012, at 12:53 PM, Yuqi Wu wrote:
>
>> Thank you.
>> 
>> Can I ask another question? 
>> 
>> In my log summary output, it shows that although there are two SNES 
>> iteration and total 9 linear iterations. The functions MatLUFactorSym and 
>> MatLUFactorNum are only called for three times. 
>> 
>> MatLUFactorSym         3 1.0 1.4073e+00 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 
>> 1.5e+01  1  0  0  0  2   1  0  0  0  2     0
>> MatLUFactorNum         3 1.0 3.2754e+01 1.0 9.16e+09 1.0 0.0e+00 0.0e+00 
>> 0.0e+00 31 97  0  0  0  32 97  0  0  0   280
>> 
>> I checked the -info output. It shows that One MatLUFactorSymbolic_SeqAIJ() 
>> is called in down smoother of the first SNES, one 
>> MatLUFactorSymbolic_SeqAIJ() is called in the coarse solve of the first 
>> SNES, and one MatLUFactorSymbolic_SeqAIJ() is called in the down smoother of 
>> the second SNES.
>> 
>> Do you have any ideas why there are 9 multigrid iterations, but only 3 
>> MatLUFactorSymbolic calls in the program?
>
>   By default PETSc's multigrid uses ILU smoothing. You can change to SOR with 
> -mg_levels_pc_type sor
>
>   The factorization only needs to done once then triangular solves (MatSolve) 
> are done for each smoothing step. Since there are only two different matrices 
> for the fine level (from the first and second SNES iteration) there only need 
> to be two factorizations. The smoother is run 9 times because there are 9 
> multigrid iterations.
>
>   Barry
>
>> 
>> Best
>> 
>> Yuqi
>> 
>> 
>> 
>> 
>> ---- Original message ----
>>> Date: Tue, 3 Apr 2012 20:08:27 -0500
>>> From: petsc-users-bounces at mcs.anl.gov (on behalf of Barry Smith <bsmith 
>>> at mcs.anl.gov>)
>>> Subject: Re: [petsc-users] Questions about PCMG  
>>> To: PETSc users list <petsc-users at mcs.anl.gov>
>>> 
>>> 
>>>  There are two linear solves (for 1 SNES and 2 SNES) so there are two 
>>> MGSetUp on each level. Then a total of 9 multigrid iterations (in both 
>>> linear solves together) hence 9 smoother on level 0 (level 0 means coarse 
>>> grid solve). One smooth down and one smooth up on level 1 hence 18 total 
>>> smooths on level 1.  9 computation of residual on level 1 and 18 MgInterp 
>>> because that logs both the restriction to level 0 and the interpolation 
>>> back to level 1 and 18 = 9 + 9.
>>> 
>>>  Barry
>>> 
>>> On Apr 3, 2012, at 7:57 PM, Yuqi Wu wrote:
>>> 
>>>> Hi, Barry,
>>>> 
>>>> Thank you. If my program converges in two SNES iteration,
>>>> 0 SNES norm 1.014991e+02, 0 KSP its (nan coarse its average), last norm 
>>>> 0.000000e+00
>>>> 1 SNES norm 9.925218e-05, 4 KSP its (5.25 coarse its average), last norm 
>>>> 2.268574e-06.
>>>> 2 SNES norm 1.397282e-09, 5 KSP its (5.20 coarse its average), last norm 
>>>> 1.312605e-12.
>>>> 
>>>> And -pc_mg_log shows the following output
>>>> 
>>>> MGSetup Level 0        2 1.0 3.4091e-01 2.1 0.00e+00 0.0 3.0e+02 6.0e+04 
>>>> 3.0e+01  1  0  3 11  2   1  0  3 11  2     0
>>>> MGSmooth Level 0       9 1.0 1.2126e+01 1.0 9.38e+08 3.2 2.8e+03 1.7e+03 
>>>> 6.4e+02 33 71 28  3 34  35 71 28  3 35   415
>>>> MGSetup Level 1        2 1.0 1.3925e-01 2.1 0.00e+00 0.0 1.5e+02 3.1e+04 
>>>> 2.3e+01  0  0  1  3  1   0  0  1  3  1     0
>>>> MGSmooth Level 1      18 1.0 5.8493e+00 1.0 3.66e+08 3.1 1.5e+03 2.9e+03 
>>>> 3.6e+02 16 28 15  3 19  17 28 15  3 19   339
>>>> MGResid Level 1        9 1.0 1.1826e-01 1.4 1.49e+06 2.4 2.0e+02 2.7e+03 
>>>> 9.0e+00  0  0  2  0  0   0  0  2  0  0    70
>>>> MGInterp Level 1      18 1.0 1.2317e-01 1.3 7.74e+05 2.2 3.8e+02 1.1e+03 
>>>> 1.8e+01  0  0  4  0  1   0  0  4  0  1    37
>>>> 
>>>> What are the MGSmooth, MGResid, MGInterp represent for?
>>>> 
>>>> Best
>>>> 
>>>> Yuqi
>>>> 
>>>> ---- Original message ----
>>>>> Date: Tue, 3 Apr 2012 19:19:23 -0500
>>>>> From: petsc-users-bounces at mcs.anl.gov (on behalf of Barry Smith 
>>>>> <bsmith at mcs.anl.gov>)
>>>>> Subject: Re: [petsc-users] Questions about PCMG  
>>>>> To: PETSc users list <petsc-users at mcs.anl.gov>
>>>>> 
>>>>> 
>>>>> -pc_mg_log doesn't have anything to do with DA or DMMG it is part of the 
>>>>> basic PCMG. Are you sure you are calling SNESSetFromOptions()?
>>>>> 
>>>>> Barry
>>>>> 
>>>>> On Apr 3, 2012, at 6:56 PM, Yuqi Wu wrote:
>>>>> 
>>>>>> Hi, Mark,
>>>>>> 
>>>>>> Thank you so much for your suggestion.
>>>>>> 
>>>>>> The problem 1 is resolved by avoiding calling PCMGSetNumberSmoothUp. 
>>>>>> 
>>>>>> But since I am using the unstructured grid in my application, I didn't 
>>>>>> use DA or dmmg, so -pc_mg_log didn't give any level information. I try 
>>>>>> to run my code using -info with 1 processor, and I find out some 
>>>>>> interesting issues.
>>>>> 
>>> 
>

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