[petsc-users] Does ILU(15) still make sense or should just use LU?
Zou, Ling
lzou at anl.gov
Fri Mar 29 12:10:53 CDT 2024
Hong, thanks! That’s great to know.
I’d like to try the ex2 tutorial case locally to see how it performs. I have already installed PETSc 3.20.5 on my Mac.
Here shows the very last step of installation.
make PETSC_DIR=/Users/lingzou/Downloads/petsc-3.20.5 PETSC_ARCH=arch-opt check
Running PETSc check examples to verify correct installation
Using PETSC_DIR=/Users/lingzou/Downloads/petsc-3.20.5 and PETSC_ARCH=arch-opt
C/C++ example src/snes/tutorials/ex19 run successfully with 1 MPI process
C/C++ example src/snes/tutorials/ex19 run successfully with 2 MPI processes
Completed PETSc check examples
I found myself not knowing how to compile petsc/src/ksp/ksp/tutorials/ex2.c
Do we have a page for how to do that?
Best,
-Ling
From: Zhang, Hong <hzhang at mcs.anl.gov>
Date: Thursday, March 28, 2024 at 4:59 PM
To: Zou, Ling <lzou at anl.gov>, Barry Smith <bsmith at petsc.dev>
Cc: petsc-users at mcs.anl.gov <petsc-users at mcs.anl.gov>
Subject: Re: [petsc-users] Does ILU(15) still make sense or should just use LU?
Ling,
MUMPS https://urldefense.us/v3/__https://mumps-solver.org/index.php__;!!G_uCfscf7eWS!Z3HkqPZmZutJUiRjmnhyaPa2HkhKQJb9dJOEBTClUJN3Kd4WY4jmqd2wNQzXlHQ3tzJYID4p5EVPhtWVP1Y$ , superlu and superlu_dist https://urldefense.us/v3/__https://portal.nersc.gov/project/sparse/superlu/__;!!G_uCfscf7eWS!Z3HkqPZmZutJUiRjmnhyaPa2HkhKQJb9dJOEBTClUJN3Kd4WY4jmqd2wNQzXlHQ3tzJYID4p5EVPnIot-SE$
are sparse LU solvers, i.e., they produce SPARSE LU matrix factors. For many applications, they can solve 1 million DOF easily even in sequential mode. For example
petsc/src/ksp/ksp/tutorials
./ex2 -pc_type lu -pc_factor_mat_solver_type mumps -m 1000 -n 1000 -ksp_monitor_true_residual
0 KSP preconditioned resid norm 1.000000000000e+03 true resid norm 6.330876716538e+01 ||r(i)||/||b|| 1.000000000000e+00
1 KSP preconditioned resid norm 9.976801056860e-09 true resid norm 3.908107755078e-10 ||r(i)||/||b|| 6.173090916254e-12
Norm of error 9.98582e-09 iterations 1
MUMPS LU solves this matrix of size 1.e6 in one iteration (takes few sec on my laptop).
As Barry suggests, try mumps first. If it fails or it is too slow, then explore other solvers available in PETSc https://urldefense.us/v3/__https://petsc.org/release/overview/linear_solve_table/__;!!G_uCfscf7eWS!Z3HkqPZmZutJUiRjmnhyaPa2HkhKQJb9dJOEBTClUJN3Kd4WY4jmqd2wNQzXlHQ3tzJYID4p5EVPYE9JX04$
>From my experiments, MUMPS is faster and more robust than superlu/superlu_dist, yet it consumes slightly more memory.
See https://urldefense.us/v3/__https://petsc.org/release/manual/ksp/*using-external-linear-solvers__;Iw!!G_uCfscf7eWS!Z3HkqPZmZutJUiRjmnhyaPa2HkhKQJb9dJOEBTClUJN3Kd4WY4jmqd2wNQzXlHQ3tzJYID4p5EVPz34vg0Q$ on how to install mumps with petsc.
Hong
________________________________
From: Zou, Ling <lzou at anl.gov>
Sent: Thursday, March 28, 2024 2:34 PM
To: Barry Smith <bsmith at petsc.dev>
Cc: Zhang, Hong <hzhang at mcs.anl.gov>; petsc-users at mcs.anl.gov <petsc-users at mcs.anl.gov>
Subject: Re: [petsc-users] Does ILU(15) still make sense or should just use LU?
Thank you. Those are great suggestions. Although I mentioned 1 million DOF, but we rarely go there, so maybe stick with what is working now, and meanwhile seeking helps from literatures.
-Ling
From: Barry Smith <bsmith at petsc.dev>
Date: Thursday, March 28, 2024 at 2:26 PM
To: Zou, Ling <lzou at anl.gov>
Cc: Zhang, Hong <hzhang at mcs.anl.gov>, petsc-users at mcs.anl.gov <petsc-users at mcs.anl.gov>
Subject: Re: [petsc-users] Does ILU(15) still make sense or should just use LU?
You may benefit from a literature search on your model AND preconditioners to see what others have used. But I would try PETSc/MUMPS on the biggest size you want and see how it goes (better it runs for a little longer and you don't waste months
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You may benefit from a literature search on your model AND preconditioners to see what others have used. But I would try PETSc/MUMPS on the biggest size you want and see how it goes (better it runs for a little longer and you don't waste months trying to find a good preconditioner).
On Mar 28, 2024, at 2:20 PM, Zou, Ling <lzou at anl.gov> wrote:
Thank you, Barry.
Yes, I have tried different preconditioners, but in a naïve way, i.e., looping through possible options using `-pc_type <option>` command line.
But no, not in a meaningful way because the lack of understanding of the connection between physics (the problem we are dealing with) to math (the correct combination of those preconditioners).
-Ling
From: Barry Smith <bsmith at petsc.dev<mailto:bsmith at petsc.dev>>
Date: Thursday, March 28, 2024 at 1:09 PM
To: Zou, Ling <lzou at anl.gov<mailto:lzou at anl.gov>>
Cc: Zhang, Hong <hzhang at mcs.anl.gov<mailto:hzhang at mcs.anl.gov>>, petsc-users at mcs.anl.gov<mailto:petsc-users at mcs.anl.gov> <petsc-users at mcs.anl.gov<mailto:petsc-users at mcs.anl.gov>>
Subject: Re: [petsc-users] Does ILU(15) still make sense or should just use LU?
1 million is possible for direct solvers using PETSc with the MUMPS direct solver when you cannot get a preconditioner to work well for your problems. ILU are not very robust preconditioners and I would not rely on them. Have you investigated
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1 million is possible for direct solvers using PETSc with the MUMPS direct solver when you cannot get a preconditioner to work well for your problems.
ILU are not very robust preconditioners and I would not rely on them. Have you investigated other preconditioners in PETSc, PCGAMG, PCASM, PCFIELDSPLIT or some combination of these preconditioners work for many problems, though certainly not all.
On Mar 28, 2024, at 1:14 PM, Zou, Ling <lzou at anl.gov<mailto:lzou at anl.gov>> wrote:
Thank you, Barry.
Yeah, this is unfortunate given that the problem we are handling is quite heterogeneous (in both mesh and physics).
I expect that our problem sizes will be mostly smaller than 1 million DOF, should LU still be a practical solution? Can it scale well if we choose to run the problem in a parallel way?
PS1: -ksp_norm_type unpreconditioned did not work as the true residual did not go down, even with 300 linear iterations.
PS2: what do you think if it will be beneficial to have more detailed discussions (e.g., a presentation?) on the problem we are solving to seek more advice?
-Ling
From: Barry Smith <bsmith at petsc.dev<mailto:bsmith at petsc.dev>>
Date: Thursday, March 28, 2024 at 11:14 AM
To: Zou, Ling <lzou at anl.gov<mailto:lzou at anl.gov>>
Cc: Zhang, Hong <hzhang at mcs.anl.gov<mailto:hzhang at mcs.anl.gov>>, petsc-users at mcs.anl.gov<mailto:petsc-users at mcs.anl.gov> <petsc-users at mcs.anl.gov<mailto:petsc-users at mcs.anl.gov>>
Subject: Re: [petsc-users] Does ILU(15) still make sense or should just use LU?
This is a bad situation, the solver is not really converging. This can happen with ILU() sometimes, it so badly scales things that the preconditioned residual decreases a lot but the true residual is not really getting smaller. Since your matrices
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This is a bad situation, the solver is not really converging. This can happen with ILU() sometimes, it so badly scales things that the preconditioned residual decreases a lot but the true residual is not really getting smaller. Since your matrices are small best to stick to LU.
You can use -ksp_norm_type unpreconditioned to force the convergence test to use the true residual for a convergence test and the solver will discover that it is not converging.
Barry
On Mar 28, 2024, at 11:43 AM, Zou, Ling via petsc-users <petsc-users at mcs.anl.gov<mailto:petsc-users at mcs.anl.gov>> wrote:
Hong, thanks! That makes perfect sense.
A follow up question about ILU.
The following is the performance of ILU(5). Note that each KPS solving reports converged but as the output shows, the preconditioned residual does while true residual does not. Is there any way this performance could be improved?
Background: the preconditioning matrix is finite difference generated, and should be exact.
-Ling
Time Step 21, time = -491.75, dt = 1
NL Step = 0, fnorm = 6.98749E+01
0 KSP preconditioned resid norm 1.684131526824e+04 true resid norm 6.987489798042e+01 ||r(i)||/||b|| 1.000000000000e+00
1 KSP preconditioned resid norm 5.970568556551e+02 true resid norm 6.459553545222e+01 ||r(i)||/||b|| 9.244455064582e-01
2 KSP preconditioned resid norm 3.349113985192e+02 true resid norm 7.250836872274e+01 ||r(i)||/||b|| 1.037688366186e+00
3 KSP preconditioned resid norm 3.290585904777e+01 true resid norm 1.186282435163e+02 ||r(i)||/||b|| 1.697723316169e+00
4 KSP preconditioned resid norm 8.530606201233e+00 true resid norm 4.088729421459e+01 ||r(i)||/||b|| 5.851499665310e-01
Linear solve converged due to CONVERGED_RTOL iterations 4
NL Step = 1, fnorm = 4.08788E+01
0 KSP preconditioned resid norm 1.851047973094e+03 true resid norm 4.087882723223e+01 ||r(i)||/||b|| 1.000000000000e+00
1 KSP preconditioned resid norm 3.696809614513e+01 true resid norm 2.720016413105e+01 ||r(i)||/||b|| 6.653851387793e-01
2 KSP preconditioned resid norm 5.751891392534e+00 true resid norm 3.326338240872e+01 ||r(i)||/||b|| 8.137068663873e-01
3 KSP preconditioned resid norm 8.540729397958e-01 true resid norm 8.672410748720e+00 ||r(i)||/||b|| 2.121492062249e-01
Linear solve converged due to CONVERGED_RTOL iterations 3
NL Step = 2, fnorm = 8.67124E+00
0 KSP preconditioned resid norm 5.511333966852e+00 true resid norm 8.671237519593e+00 ||r(i)||/||b|| 1.000000000000e+00
1 KSP preconditioned resid norm 1.174962622023e+00 true resid norm 8.731034658309e+00 ||r(i)||/||b|| 1.006896032842e+00
2 KSP preconditioned resid norm 1.104604471016e+00 true resid norm 1.018397505468e+01 ||r(i)||/||b|| 1.174454630227e+00
3 KSP preconditioned resid norm 4.257063674222e-01 true resid norm 4.023093124996e+00 ||r(i)||/||b|| 4.639583584126e-01
4 KSP preconditioned resid norm 1.023038868263e-01 true resid norm 2.365298462869e+00 ||r(i)||/||b|| 2.727751901068e-01
5 KSP preconditioned resid norm 4.073772638935e-02 true resid norm 2.302623112025e+00 ||r(i)||/||b|| 2.655472309255e-01
6 KSP preconditioned resid norm 1.510323179379e-02 true resid norm 2.300216593521e+00 ||r(i)||/||b|| 2.652697020839e-01
7 KSP preconditioned resid norm 1.337324816903e-02 true resid norm 2.300057733345e+00 ||r(i)||/||b|| 2.652513817259e-01
8 KSP preconditioned resid norm 1.247384902656e-02 true resid norm 2.300456226062e+00 ||r(i)||/||b|| 2.652973374174e-01
9 KSP preconditioned resid norm 1.247038855375e-02 true resid norm 2.300532560993e+00 ||r(i)||/||b|| 2.653061406512e-01
10 KSP preconditioned resid norm 1.244611343317e-02 true resid norm 2.299441241514e+00 ||r(i)||/||b|| 2.651802855496e-01
11 KSP preconditioned resid norm 1.227243209527e-02 true resid norm 2.273668115236e+00 ||r(i)||/||b|| 2.622080308720e-01
12 KSP preconditioned resid norm 1.172621459354e-02 true resid norm 2.113927895437e+00 ||r(i)||/||b|| 2.437861828442e-01
13 KSP preconditioned resid norm 2.880752338189e-03 true resid norm 1.076190247720e-01 ||r(i)||/||b|| 1.241103412620e-02
Linear solve converged due to CONVERGED_RTOL iterations 13
NL Step = 3, fnorm = 1.59729E-01
0 KSP preconditioned resid norm 1.676948440854e+03 true resid norm 1.597288981238e-01 ||r(i)||/||b|| 1.000000000000e+00
1 KSP preconditioned resid norm 2.266131510513e+00 true resid norm 1.819663943811e+00 ||r(i)||/||b|| 1.139220244542e+01
2 KSP preconditioned resid norm 2.239911493901e+00 true resid norm 1.923976907755e+00 ||r(i)||/||b|| 1.204526501062e+01
3 KSP preconditioned resid norm 1.446859034276e-01 true resid norm 8.692945031946e-01 ||r(i)||/||b|| 5.442312026225e+00
Linear solve converged due to CONVERGED_RTOL iterations 3
NL Step = 4, fnorm = 1.59564E-01
0 KSP preconditioned resid norm 1.509663716414e+03 true resid norm 1.595641817504e-01 ||r(i)||/||b|| 1.000000000000e+00
1 KSP preconditioned resid norm 1.995956587709e+00 true resid norm 1.712323298361e+00 ||r(i)||/||b|| 1.073125108390e+01
2 KSP preconditioned resid norm 1.994336275847e+00 true resid norm 1.741263472491e+00 ||r(i)||/||b|| 1.091262119975e+01
3 KSP preconditioned resid norm 1.268035008497e-01 true resid norm 8.197057317360e-01 ||r(i)||/||b|| 5.137153731769e+00
Linear solve converged due to CONVERGED_RTOL iterations 3
Nonlinear solve did not converge due to DIVERGED_LINE_SEARCH iterations 4
Solve Did NOT Converge!
From: Zhang, Hong <hzhang at mcs.anl.gov<mailto:hzhang at mcs.anl.gov>>
Date: Wednesday, March 27, 2024 at 4:59 PM
To: petsc-users at mcs.anl.gov<mailto:petsc-users at mcs.anl.gov> <petsc-users at mcs.anl.gov<mailto:petsc-users at mcs.anl.gov>>, Zou, Ling <lzou at anl.gov<mailto:lzou at anl.gov>>
Subject: Re: Does ILU(15) still make sense or should just use LU?
Ling,
ILU(level) is used for saving storage space with more computations. Normally, we use level=1 or 2. It does not make sense to use level 15. If you have sufficient space, LU would be the best.
Hong
________________________________
From: petsc-users <petsc-users-bounces at mcs.anl.gov<mailto:petsc-users-bounces at mcs.anl.gov>> on behalf of Zou, Ling via petsc-users <petsc-users at mcs.anl.gov<mailto:petsc-users at mcs.anl.gov>>
Sent: Wednesday, March 27, 2024 4:24 PM
To: petsc-users at mcs.anl.gov<mailto:petsc-users at mcs.anl.gov> <petsc-users at mcs.anl.gov<mailto:petsc-users at mcs.anl.gov>>
Subject: [petsc-users] Does ILU(15) still make sense or should just use LU?
Hi, I’d like to avoid using LU, but in some cases to use ILU and still converge, I have to go to ILU(15), i.e., `-pc_factor_levels 15`. Does it still make sense, or should I give it up and switch to LU?
For this particular case, ~2k DoF, and both ILU(15) and LU perform similarly in terms of wall time.
-Ling
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