[Paraview] ParaviewWeb with remote, distributed data

[Sebastien Jourdain]

Hi Scen,

that's a correct way, but I'm not sure to know why it is that much slower.
Wondering if all the pvserver are fighting for the same GPU and hence
waiting more than anything... ?
You may be able to change the remote rendering threshold to make sure only
pvpython is doing the rendering.

Seb

On Mon, May 9, 2016 at 3:34 PM, Sven Kramer <svenkramer40 at gmail.com> wrote:

> Hello Seb,
> I got a working connection from pv_web_visualizer.py to a couple of
> pvservers (started with mpirun on <hostname>) by just giving "--ds-host
> <hostname> --ds-port 11111" from the link you mentioned. Is this correct,
> without --rs-host? It is working in principle, but the renderview update
> rate is not more than 2 updates/second for a tiny datasource even when
> everything is running on the same machine.
>
> Thank you
> Sven
>
> 2016-05-06 22:26 GMT+02:00 Sebastien Jourdain <
> sebastien.jourdain at kitware.com>:
>
>> Hi Sven,
>>
>> 1) Yes, assuming you are using pv_web_visualizer.py you can look here:
>>
>>
>> https://github.com/Kitware/ParaView/blob/master/Web/Applications/Visualizer/server/pv_web_visualizer.py#L18-L28
>>
>> 2) The server can push notification to the client. Need to slightly edit
>> the client and server to match your needs.
>>
>> Seb
>>
>>
>> On Fri, May 6, 2016 at 2:17 PM, Sven Kramer <svenkramer40 at gmail.com>
>> wrote:
>>
>>> Dear all,
>>> I am currently running a VTK application, which is visualizing large
>>> grids distributed on a MPI cluster.
>>> My task is to migrate this application to the Web. But I cannot manage
>>> more than what is described at
>>> http://www.paraview.org/ParaView3/Doc/Nightly/www/js-doc/index.html#!/guide/quick_start,
>>> that is I can serve a local data directory through the provided webapps.
>>>
>>> I have two essential questions that stop me from getting started:
>>> 1) How do I connect the pvpython server to remote data/render servers
>>> just like I can do in Paraview?
>>> 2) All ParaviewWeb examples seem to react on webclient requests. Our
>>> application is processing data as they come in, and also the visualization
>>> pipeline is frequently updated depending on an automatic analysis of the
>>> arriving data. Can the newly rendered datasets be pushed to the webclient,
>>> or does the webclient have to poll for available datasets?
>>>
>>> Thank you
>>> Sven
>>>
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