[Paraview] Fwd: Stream Tracer Scaling

[Berk Geveci]

Hmmm. It certainly should not be much slower. Even in the worst load
balancing case, it should be at most slightly slower. I will take a look.

-berk


On Mon, Apr 21, 2014 at 6:20 PM, Amir A <amiramir12345 at outlook.com> wrote:

> Hi Berk:
>
> Thank you for your reply. I am doing the visualization on a distributed
> cluster. And the StreamTracer filter is used with a point source of radius
> 0.1 and 100 seeds.
>
> It is surprising that the streamtracer in parallel takes orders of
> magnitude more time than when applied in serial. I tried to first apply D3
> filter and then the streamtracer. That helps a little bit but still the
> time is prohibitively long (about an hour compared to ~5min when done in
> serial). I do not know if I am missing something or this is usual.
>
> Here is the visualization that I want to create in parallel (I had to do
> it in serial because of this problem):
> https://www.dropbox.com/s/r3kkon3khjdpqs6/foam_3.png
>
> The original dataset is about 4GB.  Here is a smaller one (~1GB) with the
> state files:
> https://www.dropbox.com/s/r6lh3sx2wojfva2/sample.tar.gz
>
> I would highly appreciate any suggestions.
> -Amir
>
> ------------------------------
> From: berk.geveci at kitware.com
> Date: Mon, 21 Apr 2014 11:34:25 -0400
> To: andy.bauer at kitware.com
> CC: paraview at paraview.org
> Subject: Re: [Paraview] Fwd: Stream Tracer Scaling
>
>
> Actually, if the integration is fairly load balanced across partitions,
> the streamline integration can scale OK. It is highly dependent on how the
> seeds are distributed and if the integration ends up clustering on a few
> processes. Amir:
>
> - How big is your seed source? Does it span multiple partitions? How many
> seed points?
> - Do the streamlines stay together or do the move around the domain more
> independently?
>
>  Are you running on a single machine by the way? I have been thinking
> about parallelizing the streamline filter over threads, which should scale
> better on a single machine.
>
> Best,
> -berk
>
>
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