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?
On Wed, Jul 29, 2015 at 12:48 AM, Andy Bauer <[email protected]> wrote: > The closest thing I can think of is doing this in batch. Information on > that is available at > http://www.paraview.org/Wiki/Spatio-Temporal_Parallelism. It's probably > doable in ParaView but would likely take significant amount of > modification. > > On Mon, Jul 27, 2015 at 5:26 PM, Krishna Pai <[email protected]> > wrote: > >> Hi all, >> >> 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. >> >> Thanks, >> Krishna Pai >> >> _______________________________________________ >> Powered by www.kitware.com >> >> Visit other Kitware open-source projects at >> http://www.kitware.com/opensource/opensource.html >> >> Please keep messages on-topic and check the ParaView Wiki at: >> http://paraview.org/Wiki/ParaView >> >> Search the list archives at: http://markmail.org/search/?q=ParaView >> >> Follow this link to subscribe/unsubscribe: >> http://public.kitware.com/mailman/listinfo/paraview >> >> > -- 1 1 1 / 1 1 1 1 1 _ 0 _ 1 _ _ _ 1 \ 1 1 1 ( 1 7 1 7 _) 1 ! 1 1 ) 1 1 1 1 {_}
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