[petsc-users] Solver Parameter Optimization

[Aron Ahmadia]

I've seen a few threads in this direction:

See Sanjukta Bhowmick's work on combining machine learning with PETSc to
start:
http://cs.unomaha.edu/~bhowmick/Blog/Entries/2010/9/12_Solvers_for_Large_Sparse_Linear_Systems.html

HYPRE has something along the lines of this as well, but I have not seen any
promising results.

Don't forget that even slightly different problems can have wildly different
convergence properties, you want a solver that is both fast and robust to
changes in your input parameters.

A

On Mon, Feb 14, 2011 at 1:27 PM, Michel Cancelliere
<fernandez858 at gmail.com>wrote:

> Dear users,
>
> I've implemented a simple hydrocarbon reservoir simulator using PETSc, the
> simulator is used inside an iterative loop in which thousand of simulations
> are run with different input parameters(In order to calibrate the properties
> of the model). I would like to use those iterations to tuneup the parameters
> of the solver (precoditioner,type of linear solver, restart, etc...), Have
> someone working with that?, Do you know some papers where I can some
> information about that?
>
> Thank you for your time,
>
> Michel
>
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