> On Oct 29, 2017, at 11:50 AM, Mark Lohry <[email protected]> wrote:
> 
> Thanks again Barry, I've got the preconditioners hooked up with 
> -snes_mf_operator and at least AMG looks to be working great on a high order 
> unstructured DG problem.
> 
> Couple questions on the SNESSetLagJacobian + SNESSetLagPreconditioner code 
> flow:
> 
> 1) With -snes_mf_operator, and given SNESSetLagJacobian(snes, 1) (default)  
> and SNESSetLagPreconditioner(snes, 2), after the first KSP solve in a newton 
> iteration, will it do the finite different jacobian calculation? Or will the 
> Jacobian only be computed when the preconditioner lag setting demands it on 
> the 3rd newton step? I suspect it's the latter based on where I see the code 
> pause.

   SNES with -snes_mf_operator will ALWAYS use the matrix-free finite 
difference f(x+h) - f(x) to apply the matrix vector product.

   The LagJacobian and LagPreconditioner are not coordinated. The first 
determines how often the Jacobian used for preconditioning is recomputed and 
the second determines how often the preconditioner is recomputed. 

   If you are using -snes_mf_operator then it never makes sense to have 
lagJacobian < lagPreconditioner since it would recompute the Jacobian but not 
actually use it. It also makes no sense for lagPreconditioner < lagJacobian 
because you'd be recomputing the preconditioner on the same Jacobian.

But actually if you don't change the Jacobian used in building the 
preconditioner then when it tries to recompute the preconditioner it determines 
the matrix has not changed so skips rebuilding the preconditioner. So when 
using -snes_mf_operator there is really no reason generally to set the 
preconditioner lag. 
> 
> 2) How do implicit TS and SNESSetLagPreconditioner/Persists interact? Does 
> the counter since-last-preconditioner-compute reset with time steps, or does 
> that lag counter just increment with every SNES solve regardless of how many 
> nonlinear solves might have happened in a given timestep? Say lag 
> preconditioner is 2, and a time stepper uses 3, 2, and 3 nonlinear solves on 
> 3 steps, is the flow
> 
> (time step 1)->(update preconditioner)->(snes solve)->(snes solve)->(update 
> preconditioner)->(snes solve)
> (time step 2)->(snes solve)->(update preconditioner)->(snes solve)
> (time step 3)->(snes solve)->(update preconditioner)->(snes solve)->(snes 
> solve)
> 
> or
> 
> (time step 1)->(update preconditioner)->(snes solve)->(snes solve)->(update 
> preconditioner)->(snes solve)
> (time step 2)->(update preconditioner)->(snes solve)->(snes solve)
> (time step 3)->(update preconditioner)->(snes solve)->(snes solve)->(update 
> preconditioner)->(snes solve)
> 
> ?
> 
> I think for implicit time stepping I'd probably want the preconditioner to be 
> recomputed just once at the beginning of each time step, or some multiple of 
> that. Does that sound reasonable?

  Yes, what you want to do is completely reasonable.

  You can use SNESSetLagJacobian() and   SNESSetLagJacobianPersists() in 
combination to have the Jacobian recomputed ever fixed number of times; if you 
set the persists flag and set LagJacobian to 10 it will recompute the Jacobian 
used in the preconditioner every 10th time a new Jacobian is needed.

   If you want to compute the new Jacobian used to build the preconditioner 
once at the beginning of each new TS stage you can set SNESSetLagJacobian() to 
negative -2 in the TS prestage call. There are possibly other tricks you can do 
by setting the two flags at different locations.

   An alternative to hardwiring how often the Jacobian used to build the 
preconditioner is rebuilt is to rebuild based on when the preconditioner starts 
"working less well". Here you could put an additional KSPMonitor or SNESMonitor 
that detects if the number of linear iterations is above a certain amount and 
then sets the recompute Jacobian flag to -2 so that for the next solve it 
recreates the Jacobian used in building the preconditioner.


> 
> 3) Are there any hooks analogous to KSPSetPreSolve/PostSolve for the FD 
> computation of the jacobians, or for the computation of the preconditioner? 
> I'd like to get a handle on the relative costs of these.

  No, do you just want the time? You can get that from the logging; for example 
-log_view 

> 
> 
> Best,
> Mark
> 
> On Sat, Sep 23, 2017 at 3:28 PM, Mark Lohry <[email protected]> wrote:
> Great, thanks Barry.
> 
> On Sat, Sep 23, 2017 at 3:12 PM, Barry Smith <[email protected]> wrote:
> 
> > On Sep 23, 2017, at 12:48 PM, Mark W. Lohry <[email protected]> wrote:
> >
> > I'm currently using JFNK in an application where I don't have a hand-coded 
> > jacobian, and it's working well enough but as expected the scaling isn't 
> > great.
> >
> > What is the general process for using PC with MatMFFDComputeJacobian? Does 
> > it make sense to occasionally have petsc re-compute the jacobian via finite 
> > differences, and then recompute the preconditioner? Any that just need the 
> > sparsity structure?
> 
>  Mark
> 
>    Yes, this is a common approach. SNESSetLagJacobian -snes_lag_jacobian
> 
>     The normal approach in SNES to use matrix-free for the operator and use 
> finite differences to compute an approximate Jacobian used to construct 
> preconditioners is to to create a sparse matrix with the sparsity of the 
> approximate Jacobian (yes you need a way to figure out the sparsity, if you 
> use DMDA it will figure out the sparsity for you). Then you use
> 
>    SNESSetJacobian(snes,J,J, SNESComputeJacobianDefaultColor, NULL);
> 
> and use the options database option -snes_mf_operator
> 
> 
> > Are there any PCs that don't work in the matrix-free context?
> 
>   If you do the above you can use almost all the PC since you are providing 
> an explicit matrix from which to build the preconditioner
> 
> > Are there any example codes I overlooked?
> >
> > Last but not least... can the Boomer-AMG preconditioner work with JFNK? To 
> > really show my ignorance of AMG, can it actually be written as a matrix 
> > P^-1(Ax-b)=0, , or is it just a linear operator?
> 
>   Again, if you provide an approximate Jacobian like above you can use it 
> with BoomerAMG, if you provide NO explicit matrix you cannot use BoomerAMG or 
> almost any other preconditioner.
> 
>    Barry
> 
> >
> > Thanks,
> > Mark
> 
> 
> 

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