<div dir="ltr">Thanks for the recommendation, Andy. I've decided to use the spatio-temporal parallelism plugin for a different application: I've found that D3 re-partitions my data every time step, and I think this plugin might be a better way to handle my spatio-temporal data. However, the instructions on the wiki say to run it using pvbatch, which, as far as I know, doesn't allow for interactive visualizations. Is there a way to somehow run the python script it generates through the ParaView GUI instead of by mpirunning pvbatch to allow for interactivity?<br></div><div class="gmail_extra"><br><div class="gmail_quote">On Wed, Jul 29, 2015 at 12:48 AM, Andy Bauer <span dir="ltr"><<a href="mailto:andy.bauer@kitware.com" target="_blank">andy.bauer@kitware.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr">The closest thing I can think of is doing this in batch. Information on that is available at <a href="http://www.paraview.org/Wiki/Spatio-Temporal_Parallelism" target="_blank">http://www.paraview.org/Wiki/Spatio-Temporal_Parallelism</a>. It's probably doable in ParaView but would likely take significant amount of modification. <br></div><div class="gmail_extra"><br><div class="gmail_quote"><div><div class="h5">On Mon, Jul 27, 2015 at 5:26 PM, Krishna Pai <span dir="ltr"><<a href="mailto:krishnapai09@gmail.com" target="_blank">krishnapai09@gmail.com</a>></span> wrote:<br></div></div><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div><div class="h5"><div dir="ltr"><div><div><div>Hi all,<br><br></div>I know that, normally, ParaView works with one large dataset and partitions it based on the number of processes, then renders and merges the results, which I can then view on my ParaView GUI locally. What I want to do is take a bunch of independent datasets and make each parallel process render them without partitioning them further. In other words, I want a one-to-one correspondence between a parallel process and a dataset with the ability to view them separately locally (which I can do by filtering by Process ID). So far, I've tried opening a couple of datasets separately and simultaneously (using ctrl to select them both), and combined them with AppendDatasets to see if they would separate out in the way I want. That didn't work. In both instances, ParaView partitioned each dataset and rendered a part of them in each process. I would appreciate any tips.<br><br></div>Thanks,<br></div>Krishna Pai<br></div>
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