Hi,

You may want to look at ParaView's spatio-temporal parallelism tool --
http://www.paraview.org/Wiki/Spatio-Temporal_Parallelism. The bottom line
with respect to performance for temporal statistics is that there's a lot
of file IO involved and usually that's the bottleneck.

As for averaging over only a subset of time steps, the only ways I can
currently think of doing this are:

   - Only read in the time steps you want. This would be dependent on the
   file format and its corresponding reader in PV.
   - Use a Python Programmable Filter to get rid of the time steps you
   don't want.

Cheers,

Andy

On Wed, Jul 15, 2015 at 4:42 AM, Ionut Andrei Cimpoeru <
[email protected]> wrote:

> Hi there,
>
>
> My name is Andrei Cimpoeru and I'm using Paraview 4.2. I came across with
> a lot of unsteady data from a   CFD simulation and I need time-average it.
> I used the temporal statistics filter available in Paraview but is very
> slow. Is there a way to speed up the process?
> Also I would like to know if there is way of how to time average only for
> a range of time steps rather than the whole simulation?
>
> I would appreciate your help and many thanks.
>
>
> Regards
>
> Andrei Cimpoeru
>
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