I am suspecting that there is a memory leak in the implementation of
non-linear preconditioners in PETSc.
When I use the following options I see the memory usage increase (using the
windows process monitor) during consecutive time steps.
PetscOptionsSetValue(NULL, "-snes_type", "qn");
PetscOpti
I am porting a non-linear solution problem implemented explicitly to an
snes implementation. Everything seems to be working fine, except for the
fact that function calls done from snes to my jacobian and residual
construction subroutines are slower than the regular direct call to the
same subroutin
dtime = x seconds, while if I make the same call inside FormJacobian I
get dtime ~ x + 0.08 seconds.
I hope the explanation is clear.
Any clue?
Adolfo
On Thu, Sep 17, 2020 at 12:05 PM Matthew Knepley wrote:
> On Thu, Sep 17, 2020 at 12:00 PM Adolfo Rodriguez
> wrote:
>
>>
Disregard this thread. I think the problem has to do with my data
structure.
Thanks!
On Thu, Sep 17, 2020 at 12:55 PM Adolfo Rodriguez wrote:
> Sorry I was not clear before.
>
> I have to call some functions in order to assemble the Jacobian. I created
> a FormJacobian function
I am experiencing a very stubborn issue, apparently related to an MKL
issue. I am solving a linear system using ksp which works well on windows.
I am trying to port this program to Linux now but I have been getting an
error coming from the solver (the matrix, right-hand side, and initial
solution v
x27;t see MKL in configure options here - so likely system
> blas/lapack is used..
>
> Satish
>
> On Thu, 5 Mar 2020, Adolfo Rodriguez wrote:
>
> > I am experiencing a very stubborn issue, apparently related to an MKL
> > issue. I am solving a linear system using ksp whi
I have a situation with a c++ code where I get an error when destroying the
solver context after destroying the matrix. I have the following lines at
the end of my function
KSPDestroy(&ksp);
MatDestroy(&A);
PetscObjectDestroy((PetscObject*)&x);
PetscObjectDestroy((PetscObject*)&b);
It is a very s
I am trying to use PETSc to solve a non-linear problem. The problem I am
facing is that I already have the Jacobian matrix formed in CSR format. Now
I am trying to define a function FormJacobian which takes this preexisting
matrix and writes it in PETSc format. For a small problem, I can use
MatSet
tscInt[],const PetscScalar[]);
> PETSC_EXTERN PetscErrorCode
> MatMPISBAIJSetPreallocationCSR(Mat,PetscInt,const PetscInt[],const
> PetscInt[],const PetscScalar[]);
>
>
>
> > On Jul 20, 2020, at 7:38 AM, Adolfo Rodriguez wrote:
> >
> > I am trying to use PETSc to
I am trying to replace the non-linear solver in a flow simulation problem
where the matrix sparsity can change during the iterations. I tried
successfully to create the matrix within the FormJacobian function but I
have a memory leak which I don't know how to fix.
My FormJacobian function is somet
eStep.
Hopefully, this clarifies my question a little bit.
Adolfo
On Wed, Jul 22, 2020 at 7:45 AM Mark Adams wrote:
>
>
> On Wed, Jul 22, 2020 at 8:05 AM Adolfo Rodriguez
> wrote:
>
>> I am trying to replace the non-linear solver in a flow simulation problem
>> wher
Hong,
Thanks for your email. My question now is how to handle situations where
the matrix structure changes during the iteration process?
Adolfo
On Wed, Jul 22, 2020 at 8:32 AM Zhang, Hong wrote:
>
>
> > On Jul 22, 2020, at 7:03 AM, Adolfo Rodriguez wrote:
> >
> > I
I am trying to use non-linear preconditioners in a very similar way shown
in the paper "Composing scalable nonlinear solvers" by Peter Brune and
others.
My question is simple, actually. I have provided a test convergence
function, but it seems that the inner method does not take it into account
an
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On Wed, Aug 5, 2020 at 2:18 PM Jed Brown wrote:
&g
0BB-A1B8-4E2AA1F9FDF2>
On Wed, Aug 5, 2020 at 3:11 PM Jed Brown wrote:
> Adolfo Rodriguez writes:
>
> > Actually I can set the non-linear pc. My problem relates to the
> convergence
> > test. I have not found a way to set the tolerances for the inner problem,
> > are they ha
set tolerances with
> -npc_snes_rtol -npc_ksp_rtol etc. From the program you can
> use SNESGetNPC() and then call SNESSetXXX() to set options, for the linear
> solver (if there is one) call SNESGetKSP() on the npc and then set options
> on that KSP.
>
>
>Barry
>
>
&g
t; You should be able to run with -snes_view and change some of the
> criteria on the command line and see the changes presented in the
> -snes_view output, plus see differences in convergence behavior.
>
>
>
> Barry
>
>
>
> On Aug 5, 2020, at 8:10 PM, Adolfo Rodr
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On Thu, Aug 6, 2020 at 9:23 PM Matthew Knepley wrote:
> On Thu, Aug 6, 2020 at 10:08 PM Adolfo Rodriguez
> wrote:
>
>> Considering the output produced by snes_view (attachment), wo
Hi,
how do you use composite preconditioners in petsc4py. I used to have a
script that worked but it does not work anymore. Something has changed. Any
simple examples?
Regards,
Adolfo
Matthew,
Yes, exactly: PCCOMPOSITR.
Get Outlook for iOS<https://aka.ms/o0ukef>
From: Matthew Knepley
Sent: Tuesday, January 31, 2023 6:55:29 AM
To: Adolfo Rodriguez
Cc: petsc-users
Subject: Re: [petsc-users] Composite preconditioners in petsc4py
On Mo
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