[Paraview] Fwd: Stream Tracer Scaling

[Andy Bauer]

Hi Amir,

Please keep the discussion on the mailing list so that everyone that wants
to can participate.

You could potentially do the smaller velocity data set in serial and the
larger data set in parallel but would probably take a bit of extra work
with Python. From the Python shell you have access to the AlltoN filter
which can create a copy of the data set on a reduced amount of processes.

Regards,
Andy

---------- Forwarded message ----------
From: Amir A <amiramir12345 at outlook.com>
Date: Thu, Apr 17, 2014 at 2:52 PM
Subject: RE: [Paraview] Stream Tracer Scaling
To: Andy Bauer <andy.bauer at kitware.com>


So maybe I need to clarify a little bit. I have two data sets M and V. M is
a very large dataset for the mesh structure (~8GB) and I only need to
perform simple filters to it which scales very well in parallel. V is the
velocity dataset which is only in part of the domain and is relatively
small. I want to do streamtrace filter on V.
The problem as I said is that if I do parallel M's filters will scale, but
the streamtracer will become many times slower. So is it possible to only
do streamtrace on one processor serially and the rest in paralllel?

------------------------------
From: amiramir12345 at outlook.com
To: andy.bauer at kitware.com
Subject: RE: [Paraview] Stream Tracer Scaling
Date: Thu, 17 Apr 2014 12:26:49 -0500


Hi Andy:

Thanks for your reply. So is it possible to run the StreamTracer in serial
in a parallel setting? It would be great if this is possible, because I can
keep scaling of other filters and avoid doing everything in serial.

Best,
-Amir

------------------------------
Date: Thu, 17 Apr 2014 13:19:52 -0400
Subject: Re: [Paraview] Stream Tracer Scaling
From: andy.bauer at kitware.com
To: amiramir12345 at outlook.com
CC: paraview at paraview.org

The main issue is that stream tracer just doesn't scale well. It's in
essence a serial computation which is very difficult to parallelize well.
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