Hello,
once more again

>
> 71874 dofs for Cahn-Hilliard part of system, cca 2000-3000 dofs per computer 
> core

I have solved the  Navier-Stokes-Cahn-Hilliard system on 32 cores as decoupled.
Algorithm:
1)assemble, solver Cahn-Hilliard    ->71874 dofs
2)assemble,solve Navier-Stokes    -> 2773956 dofs

Therefore ad1)  is split into small subsystems (approximately 2000
unknowns for each core) and therefore the Amesos_Superludis should
have worked nicely?
Hasn't it? I admit  that concerning  the ad)2 is your remark sound.

Marek


2016-07-21 22:12 GMT+02:00 Bruno Turcksin <bruno.turck...@gmail.com>:
>
> Marek,
>
> 2016-07-21 15:59 GMT-04:00 Vinetou Incucuna <fregew...@gmail.com>:
> > I suppose, that the next
> > step will be an   solver for general systems,
> > like
> > TrilinosWrappers::SolverBicgstab  or TrilinosWrappers::SolverGMRES
> > ?
> Yes that's right. However, the performance of Krylov solvers depends
> on good preconditioning. So you will need to find a preconditioner for
> a your problem.
>
> Best,
>
> Bruno
>
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