Hello everybody,
Lately there have been a lot of github issues on Tpetra support and how it 
can be achieved in an efficient way both in terms of coding hours and the 
resulting implementation.
I feel that it could be beneficial to have some kind of roundtable 
discussion(s) on how the interface should work internally. Externally it 
should just match the existing parallel linear algebra classes as closely 
as possible of course. 

I am currently trying to use the FROSch preconditioner from ShyLU and the 
Xpetra/Epetra combination was somewhat unreliable when it comes to memory 
management, possibly because Epetra is not using the reference counted 
pointer RCP from Teuchos. 
Due to that I have a code that currently needs very few functions (constr., 
reinit, add, compress) and then switched to "pure" trilinos with the result 
of trilinos_matrix(). 
Therefore, I would extend as I go from a working implementation of a 
SparseMatrix Wrapper. 

To ensure that the resulting code would need as little modifications as 
possible to be consistent with other simultaneous efforts it would be good 
to have some general guidelines or something like that. 

Ideally we could get some Trilinos developers to join the discussion. From 
the european trilinos user group meeting I know that they already have a 
lot of experience in switching existing code from Epetra to Tpetra both in 
the simpler "mirrored" implementation as well as the more performant but 
also more involved implementation making full(er) use of Kokkos.

Looking forward to fruitful discussions,
Philipp

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