Hi Massimiliano,

I don't think the XML unstructured grid reader partitions the data so all
of your cells are probably just ending up on process 0.

You may want to look at ParaView's spatio-temporal parallelism (
http://www.paraview.org/Wiki/Spatio-Temporal_Parallelism). Make sure to use
a time compartment size of 1 if you're just using the XML unstructured grid
reader.

Regards,
Andy

On Sat, Apr 18, 2015 at 6:40 AM, Massimiliano Leoni <
[email protected]> wrote:

>  Hi everybody,
>
>
>
> I am trying to run pvbatch in parallel to render an animation, with a very
> easy script that looks like
>
>    - import sys
>    - from paraview.simple import *
>    -
>    - # read pvsm file from command line and load it
>    - stateFile = sys.argv[1]
>    - simulation = stateFile.split("/")[-1].split(".")[0]
>    - servermanager.LoadState(stateFile)
>    -
>    - # set active view and render animation
>    - SetActiveView(GetRenderView())
>    - WriteAnimation(simulation + ".jpg",magnification=2,quality=2)
>
> I compiled paraview from sources, configuring with
>
> cmake -DPARAVIEW_BUILD_QT=OFF -DCMAKE_BUILD_TYPE=Release
> -DBUILD_TESTING=OFF -DPARAVIEW_ENABLE_PYTHON=ON -DPARAVIEW_USE_MPI=ON ..
>
> and then building all.
>
> I am doing a benchmark on 11GB of data distributed over many pvd/vtu files
> [written by an MPI application in parallel].
>
> I copied the data to a tmpfs folder to ensure the execution is not slowed
> down by disk access.
>
> Executing pvbatch on 1 or 16 processors doesn't really seem to change
> anything.
> In particular, I was expecting to see the frames appearing in blocks of 16
> when running with mpi on 16 procs, but they always appear one at a time at
> a constant pace, which makes me suspect that the other processes aren't
> really contributing to the rendering.
>
>
>
> What could I be doing wrong?
> Any suggestion is highly appreciated.
>
> Best regards,
>
> Massimiliano
>
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