[petsc-users] GAMG speed
Michele Rosso
mrosso at uci.edu
Tue Aug 13 20:40:20 CDT 2013
Matt,
thank you.
The matrix arises from discretization of the Poisson equation in
incompressible flow calculations.
Michele
On 08/13/2013 06:34 PM, Matthew Knepley wrote:
> On Tue, Aug 13, 2013 at 8:25 PM, Michele Rosso <mrosso at uci.edu
> <mailto:mrosso at uci.edu>> wrote:
>
> Matt,
>
> thank you! I will try to reduce the number of levels and see how
> it goes.
> I asked about the speed since CG + Block Jacobi with ICC in each
> block runs faster then CG + MG, so I thought I was missing something.
>
>
> What is the operator? If its the mass matrix, we expect this.
>
> Could you please tell me how to get rid of Chebichev?
>
>
> I believe its
>
> -mg_levels_ksp_type richardson
>
> but you can check.
>
> matt
>
> Best,
> Michele
>
> On 08/13/2013 05:51 M, Matthew Knepley wrote:
>> On Tue, Aug 13, 2013 at 7:05 PM, Michele Rosso <mrosso at uci.edu
>> <mailto:mrosso at uci.edu>> wrote:
>>
>> 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
>>
>>
>> The convergence is great. I notice that your coarse solve takes
>> no time. You could probably use fewer levels for
>> this problem. For this problem there is no easy things left I
>> think. We are currently debating how you can squeeze
>> something extra out of the smoother. Here you could probably get
>> rid of Chebychev and use only SOR.
>>
>> Matt
>>
>> 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
>>> <mrosso at uci.edu <mailto:mrosso at 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
>>>>>>>>>>>>>>>>>>>
>>
>>
>>
>>
>> --
>> What most experimenters take for granted before they begin their
>> experiments is infinitely more interesting than any results to
>> which their experiments lead.
>> -- Norbert Wiener
>
>
>
>
> --
> What most experimenters take for granted before they begin their
> experiments is infinitely more interesting than any results to which
> their experiments lead.
> -- Norbert Wiener
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