[petsc-users] Bad memory scaling with PETSc 3.10

[Matthew Knepley]

On Tue, Mar 5, 2019 at 11:53 AM Myriam Peyrounette <
myriam.peyrounette at idris.fr> wrote:

> I used PCView to display the size of the linear system in each level of
> the MG. You'll find the outputs attached to this mail (zip file) for both
> the default threshold value and a value of 0.1, and for both 3.6 and 3.10
> PETSc versions.
>
> For convenience, I summarized the information in a graph, also attached
> (png file).
>
> Great! Can you draw lines for the different runs you did? My
interpretation was that memory was increasing
as you did larger runs, and that you though that was coming from GAMG. That
means the curves should
be pushed up for larger runs. Do you see that?

  Thanks,

    Matt

> As you can see, there are slight differences between the two versions but
> none is critical, in my opinion. Do you see anything suspicious in the
> outputs?
>
> + I can't find the default threshold value. Do you know where I can find
> it?
>
> Thanks for the follow-up
>
> Myriam
>
> Le 03/05/19 à 14:06, Matthew Knepley a écrit :
>
> On Tue, Mar 5, 2019 at 7:14 AM Myriam Peyrounette <
> myriam.peyrounette at idris.fr> wrote:
>
>> Hi Matt,
>>
>> I plotted the memory scalings using different threshold values. The two
>> scalings are slightly translated (from -22 to -88 mB) but this gain is
>> neglectable. The 3.6-scaling keeps being robust while the 3.10-scaling
>> deteriorates.
>>
>> Do you have any other suggestion?
>>
> Mark, what is the option she can give to output all the GAMG data?
>
> Also, run using -ksp_view. GAMG will report all the sizes of its grids, so
> it should be easy to see
> if the coarse grid sizes are increasing, and also what the effect of the
> threshold value is.
>
>   Thanks,
>
>      Matt
>
>> Thanks
>> Myriam
>>
>> Le 03/02/19 à 02:27, Matthew Knepley a écrit :
>>
>> On Fri, Mar 1, 2019 at 10:53 AM Myriam Peyrounette via petsc-users <
>> petsc-users at mcs.anl.gov> wrote:
>>
>>> Hi,
>>>
>>> I used to run my code with PETSc 3.6. Since I upgraded the PETSc version
>>> to 3.10, this code has a bad memory scaling.
>>>
>>> To report this issue, I took the PETSc script ex42.c and slightly
>>> modified it so that the KSP and PC configurations are the same as in my
>>> code. In particular, I use a "personnalised" multi-grid method. The
>>> modifications are indicated by the keyword "TopBridge" in the attached
>>> scripts.
>>>
>>> To plot the memory (weak) scaling, I ran four calculations for each
>>> script with increasing problem sizes and computations cores:
>>>
>>> 1. 100,000 elts on 4 cores
>>> 2. 1 million elts on 40 cores
>>> 3. 10 millions elts on 400 cores
>>> 4. 100 millions elts on 4,000 cores
>>>
>>> The resulting graph is also attached. The scaling using PETSc 3.10
>>> clearly deteriorates for large cases, while the one using PETSc 3.6 is
>>> robust.
>>>
>>> After a few tests, I found that the scaling is mostly sensitive to the
>>> use of the AMG method for the coarse grid (line 1780 in
>>> main_ex42_petsc36.cc). In particular, the performance strongly
>>> deteriorates when commenting lines 1777 to 1790 (in
>>> main_ex42_petsc36.cc).
>>>
>>> Do you have any idea of what changed between version 3.6 and version
>>> 3.10 that may imply such degradation?
>>>
>>
>> I believe the default values for PCGAMG changed between versions. It
>> sounds like the coarsening rate
>> is not great enough, so that these grids are too large. This can be set
>> using:
>>
>>
>> https://www.mcs.anl.gov/petsc/petsc-current/docs/manualpages/PC/PCGAMGSetThreshold.html
>>
>> There is some explanation of this effect on that page. Let us know if
>> setting this does not correct the situation.
>>
>>   Thanks,
>>
>>      Matt
>>
>>
>>> Let me know if you need further information.
>>>
>>> Best,
>>>
>>> Myriam Peyrounette
>>>
>>>
>>> --
>>> Myriam Peyrounette
>>> CNRS/IDRIS - HLST
>>> --
>>>
>>>
>>
>> --
>> 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
>>
>> https://www.cse.buffalo.edu/~knepley/
>> <http://www.cse.buffalo.edu/%7Eknepley/>
>>
>>
>> --
>> Myriam Peyrounette
>> CNRS/IDRIS - HLST
>> --
>>
>>
>
> --
> 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
>
> https://www.cse.buffalo.edu/~knepley/
> <http://www.cse.buffalo.edu/%7Eknepley/>
>
>
> --
> Myriam Peyrounette
> CNRS/IDRIS - HLST
> --
>
>

-- 
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

https://www.cse.buffalo.edu/~knepley/ <http://www.cse.buffalo.edu/~knepley/>
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