1) In certain circumstances.... but probably not huge.
2) Yes

3) You can read and write parallel xda/r files.... although I haven't done
it myself.  BUT... it looks like that is only possible when writing the
entire equation system not just the mesh.  I don't know if there is a way
around that.  Maybe Ben will chime in.

Although:

4) Currently libMesh does support _reading_ of Nemesis meshes.  These are
Exodus meshes that have been _pre_ decomposed so that each piece of the mesh
resides in a different file and each processor only reads it's part of the
mesh.  I can verify that that does work with ParallelMesh (although a few of
the more advanced things in the Exodus reader aren't supported yet).

However... the _writing_ of Nemesis meshes / solutions isn't supported
yet... so to get output you still have to do the old serialization.  I hope
to change that in the not too distant future... but it continues to slip
down my TODO list.

If you are interested in helping out with getting Nemesis writing going you
can get the documentation here:
http://sourceforge.net/projects/exodusii/files/  .  Once we have Nemesis
read / write capability we will have a complete end-to-end parallel
capability.

Derek

On Mon, Oct 19, 2009 at 9:30 AM, Lorenzo Botti <[email protected]>wrote:

> I'm planning to perform a lot of parallel runs (without AMR) on a big
> cluster and I would like to know a couple of details about the parallel
> mesh
> implementation.
> 1) Is it faster than serial mesh?
> 2) Does it use less memory per process?
>
> 3) Is it possible to read and/or write parallel .xdr/.xda data files?
> I'm curious about the possibility of making a mesh partitioning and write
> the single partition files so that every process involved in a parallel
> computation loads just one portion of the mesh. Does this approach gives
> some benefits?
>
> 4) Have you planned to introduce some parallel solution output format? I
> think that having to serialize the solution is quite an expensive operation
> for unsteady computations.
>
> Thanks a lot.
> Lorenzo
>
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