No, the direct solver is good if you have enough memory. The solver may
not be the problem here.
If I understand that realization means one NSE with some particular
parameters, that means that 20 realizations are 20 different NS problems
to solve. Timing your code will help, you can look at
https://www.dealii.org/developer/doxygen/deal.II/step_32.html
Yann
Le 4/15/2025 à 9:35 AM, Md Mahmudul Islam a écrit :
I hope the code is good to go. Sorry I haven't mentioned in my code I
have 20 realization numbers and I think it’s taking time here. Because
if I reduce the number of realization number its fast.
In that case, should I use an iterative solver?
Md Mahmudul Islam
On Tue, Apr 15, 2025, 2:30 AM Yann Jobic <yjo...@gmail.com
<mailto:yjo...@gmail.com>> wrote:
Hello Md Mahmudul,
I'm running also NSE, and with higher degree of freedom. It's not
taking
that much time. In order to understand what is going on, i've got some
questions :
1) are you in debug compilation mode ?
2) it seems that you are solving a linear system with a direct method.
Is there behind an iterative solver somewhere ?
3) you may want to use the TimerOutput class to understand where you
are
spending all the time. My guess is that it's not in the direct solver
(umfpack)
Best,
Yann
Le 4/15/2025 à 9:16 AM, Md Mahmudul Islam a écrit :
> Hello Everyone,
> Hope everyone of this group are in good health. I am working on
> uncertainty quantification of NSE 2nd degree. I am using umfpack
direct
> solver to solve my system matrix.
> In the experiment, if I run 2D mesh with 100k degrees of freedom,
I can
> get my result within 12-13 days of running code. But if I run 3D
mesh it
> takes much longer time than expected.
> Any suggestion how I can run 3D mesh in less time period?
>
> Regards,
> Md Mahmudul Islam
>
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