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 <[email protected]> Date: Thu, Apr 17, 2014 at 2:52 PM Subject: RE: [Paraview] Stream Tracer Scaling To: Andy Bauer <[email protected]> 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: [email protected] To: [email protected] 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: [email protected] To: [email protected] CC: [email protected] 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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