[petsc-users] Convergence/accuracy degradation with increasing number of procs
Alexander Grayver
agrayver at gfz-potsdam.de
Mon Jan 9 10:48:36 CST 2012
Thanks Matt, that was my guess actually.
On 09.01.2012 17:46, Matthew Knepley wrote:
> On Mon, Jan 9, 2012 at 10:37 AM, Alexander Grayver
> <agrayver at gfz-potsdam.de <mailto:agrayver at gfz-potsdam.de>> wrote:
>
> I see this is due to preconditioner, but could you explain shortly
> what particularly causes this problem? It's not obvious to me.
>
>
> The size of the block being factorized by ILU(0) decreases as p
> increases. Thus, it is
> a weaker preconditioner. I recommend Yousef Saad's book which explains
> all this clearly.
>
> Matt
>
> Thanks.
>
> On 09.01.2012 17:36, Matthew Knepley wrote:
>> On Mon, Jan 9, 2012 at 10:31 AM, Alexander Grayver
>> <agrayver at gfz-potsdam.de <mailto:agrayver at gfz-potsdam.de>> wrote:
>>
>> I have tested default GMRES+ILU(0) solver for problem of size
>> ~200000 and I observed that both convergence rate and
>> accuracy degrade when I increase number of processes.
>> E.g., number of iterations almost doubles when going from 1
>> to 4 processors.
>>
>> I noticed that ILU(0) is somehow represented by sequential
>> matrices internally and feel that this might be a reason?
>>
>>
>> The default is Block Jacobi+ILU(0) and GMRES(30) which will
>> definitely degrade as the number of
>> processes is increased. You would need to use an optimal
>> preconditioner like Multigrid if you want
>> a constant number of iterates.
>>
>> Matt
>>
>> Regards,
>> Alexander
>>
>>
>>
>>
>> --
>> 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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