[Paraview] [ParaView] In-Situ Visualization

[liuning]

Hi Berk,

Thank you for your reply. One of the priorities  of our in-situ
visualization work is speed, so moving data to main memory  may not be a
preferred approach. We just need several basic visualization functions(e.g.
slice and contour )  and analysis functions(e.g. sub-sampling ). Is it
possible that we write our own filters running on GPU and integrate them
into the current VTK pipeline?  Since the sources, readers,writers and
filters are configured via XML file, if we set up the appropriate filter
 XML configuration file, will it work for us ?

Thanks again,

-Ning

On Thu, Feb 25, 2010 at 10:29 PM, Berk Geveci <berk.geveci at kitware.com>wrote:

> It depends on how you want to do it. If you want to keep the data on the
> GPU memory and perform all of the analysis/visualization on the GPU, VTK is
> currently not the right tool. Almost all of VTK's filters work on the CPU
> whereas rendering happens on the GPU. If you are OK with moving data to main
> memory whenever you want to do analysis/vis, the in-situ vis work we are
> doing would be a fit for you. Let me know if you are interested and I can
> get you started.
>
> -berk
>
> On Wed, Feb 24, 2010 at 10:06 PM, liuning <tantics at gmail.com> wrote:
>
>> Hi all,
>>
>> We attempt to do a in-situ visualization to visualize the simulation,
>> which  is mainly performed on GPUs. I noticed that there was a presentation
>> in Vis09  describing how to do in-situ visualization with the help of Python
>> scripts. Since the simulation data reside in GPUs, I wonder whether the
>> approach mentioned above can do this. Or, are there some better methods to
>> do that?
>>
>> Thanks a lot.
>>
>> -Ning
>>
>>
>>
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