On Tue, 27 May, 2014 at 12:07 PM, Nico Schlömer <[email protected]> wrote:
The Trilinos backend isn't in a shape as good as PETSc is, and the
same goes for the Trilinos codebase itself and everything surrounding
it ("community managment").
That said, I believe that Trilinos offers a number of things that are
not included in PETSc itself. For example, the variety of linear
solvers included in Trilinos::Belos is quite large,

BlockCG
BlockGCRODR
BlockGmres
GCRODR
GmresPoly
Gmres
LSQR
Minres
PCPG
PseudoBlockCG
PseudoBlockGmres
PseudoBlockStochasticCG
RCG
TFQMR

Not all of them are interfaced by Dolfin, but I suppose this can be done.
Moreover, ML has a number of AMG options that are not available from
other preconditioning packages; one of them is the important class of
AMG for curl-curl problems.

I don't think Trilinos nicely supports Schur complement preconditioners

Trilinos::Teko <http://trilinos.sandia.gov/packages/teko/> is designed
for this purpose. I haven't used it myself though.

That said, my reason for using Trilinos was mainly its nice Python interface,

PyTrilinos is virtually dead.

I think a big selling point of Trilinos is the development that
happens in Trilinos::Tpetra -- it shows great promise in  the HPC
arena when computing large problems in heterogeneous environments (for
example). Currently, Dolfin hooks up to (legacy) Epetra, so adopting
this may be worthwhile.

With the upcoming changes in Trilonos (Teptra, new replacement for ML) maybe it's ready for a re-write? This could be done by removing the current wrappers and starting from scratch.


I do understand Garth's concerns, though, and I don't use the Trilinos
backend too often now. I can see myself in the situation though where
I run Dolfin code in an HPC environment and would like to see what
Trilinos can do for me.

Also, let's not forget about the uBLAS layer which I find
exceptionally useful for debugging purposes. Removing Trilinos alone
would not do away with the abstraction layer Generic*.


I don't have any plans to remove the uBLAS functionality (although I think it would be good switch to Eigen wrappers rather than uBLAS, now that Eigen is a dependency). The overhead in maintaining the serial backends in minimal. The headache is the parallel backends, especially around issues like managing ghost entries, differences in how off-process vector/matrix are set.
Garth



Are there other ways of reducing the maintenance burden for the developers?

Cheers,
Nico


On Mon, May 26, 2014 at 5:32 PM, Garth N. Wells <[email protected]> wrote:
Are there any strong opinions on keeping or removing the Trilinos backend from DOLFIN? I ask now because there is a maintenance burden in having both (I'm feeling this acutely with the switch to local dof indices), and the Trilinos backend gets far less polishing and testing than the PETSc backend, which can make a less favourable impression on users who use the Trilinos
 backend.

Another issue is that it is becoming difficult to provide users with a common interface to more sophisticated solvers since these are closely tied
 to the design of the underling linear algebra backend.

 Garth

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