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<div>To check the distribution of the data, use the Process Id Scalars filters. That should color the data based on which processor it is located.</div>
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<div>It might help if you described your system more completely. What kind of data are you loading? Is it image data? Polygon data? AMR? An unstructured grid? Are you applying any filters? How are you rendering it? Is it surface or volume rendering? Is there
any transparency? Can you send a picture? What kind of parallel computer are you using? Are you running ParaView on your desktop in multi-core mode (I think rendering actually serializes in that case because you still have only one GPU.), or are you connecting
to a cluster? How many nodes on your cluster and how are they configured?</div>
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<div>-Ken</div>
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<span style="font-weight:bold">From: </span>Jérémy Santina <<a href="mailto:jeremy.santina@gmail.com">jeremy.santina@gmail.com</a>><br>
<span style="font-weight:bold">Date: </span>Tuesday, July 1, 2014 2:31 AM<br>
<span style="font-weight:bold">To: </span>Kenneth Moreland <<a href="mailto:kmorel@sandia.gov">kmorel@sandia.gov</a>><br>
<span style="font-weight:bold">Cc: </span>"<a href="mailto:paraview@paraview.org">paraview@paraview.org</a>" <<a href="mailto:paraview@paraview.org">paraview@paraview.org</a>><br>
<span style="font-weight:bold">Subject: </span>[EXTERNAL] Re: [Paraview] Rendering in parallel<br>
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<div>Actually, I did try the D3 filter but I didn't really see any better results. Maybe it is because I don't know how to configure it. How does D3 filter work ?
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<div class="gmail_quote">2014-06-30 16:21 GMT+02:00 Moreland, Kenneth <span dir="ltr">
<<a href="mailto:kmorel@sandia.gov" target="_blank">kmorel@sandia.gov</a>></span>:<br>
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<div>Jeremy,</div>
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<div>Like the other parallel processing in ParaView, the efficiency is dictated by the distribution of the data. If your data distribution is highly imbalanced such as when all the data is on one process as in your case, then all the processing will happen
where the data is and the rest of the processors will remain idle.</div>
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<div>You could try running the D3 filter. That should redistribute the point data more evenly.</div>
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<div>-Ken</div>
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<span style="font-weight:bold">From: </span>Jérémy Santina <<a href="mailto:jeremy.santina@gmail.com" target="_blank">jeremy.santina@gmail.com</a>><br>
<span style="font-weight:bold">Date: </span>Monday, June 30, 2014 2:55 AM<br>
<span style="font-weight:bold">To: </span>"<a href="mailto:paraview@paraview.org" target="_blank">paraview@paraview.org</a>" <<a href="mailto:paraview@paraview.org" target="_blank">paraview@paraview.org</a>><br>
<span style="font-weight:bold">Subject: </span>[EXTERNAL] [Paraview] Rendering in parallel<br>
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<div>Good morning,<br>
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I am a novice user of Paraview and there are some aspects which I am not familiar with. Here is one of the issues I am having :<br>
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I run Paraview in Client-Server mode, performing the data processing and the rendering on the remote server, and I read a Tecplot Binary File (.plt) composed of more than 30 millions of points. This take a lot of time. An idea to speed up the calculation is
to launch the server in parallel. I know that many readers can not read in parallel (it is the case of TecplotBinaryFileReader I think) so I don't expect any improvment in this way.<br>
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But, examining the Timer Log, I noticed that it doesn't speed up the rendering either. I tested many times displaying the points and both experiment with parallelism and without gave the same results (about 40-50 sec). I don't understand why.<br>
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<div>Do I misinterpret the Timer Log ? Is the time of rendering long enough to conclude ? Do I have to set specific parameters to make it works ?<br>
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<div>I thank you in advance for your help.<br>
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<div>Jérémy<br>
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