[Paraview] Can ParaView Catalyst be used in GPU-based simulation?

Andy Bauer andy.bauer at kitware.com
Wed Jan 11 10:41:17 EST 2017


HI Zhang,

That has been done with PyFR with Catalyst doing everything on the GPU. I
see some stuff at https://github.com/vincentlab/PyFR-Catalyst that may be a
good starting point for you.

I don't quite know if Catalyst is ready for general use at this point on
GPUs (it may be but I haven't done it so I can't be sure). As Catalyst
development continues though it will be made much easier to effectively use
the GPU in situ. We will probably be using VTK-m for that.

If you want to go ahead with this effort, the ParaView mailing list can
probably be quite helpful.

Cheers,
Andy

On Wed, Jan 11, 2017 at 6:54 AM, 张驭洲 <yzhzhang at ipe.ac.cn> wrote:

>
>
> Hello,
>
> I'm using ParaView Catalyst for in situ visualization of some scientific
> simulation codes, mainly CFD and DEM. I have implemented a demo in which a
> small simulation code is interfaced with the ParaView Catalyst libraries.
> However, our major codes that are in use are based on GPU(written in CUDA)
> and the data generated by the simulation is in the memory of GPU. As far as
> I know, ParaView and VTK are CPU codes and in my case, I have to copy the
> data from memory of GPU to memory of CPU and then use Catalyst. That is not
> very ideal in respect of efficiency. I know there seems to be some
> professionals of computer visualization developing GPU-based VTK pipeline
> using CUDA, but I'm not computer professional and I can't use CUDA. I want
> to know if there is any open source  GPU-based VTK pipeline, or if I do
> have to copy data from GPU to use Catalyst, is it worth the effort?
>
> Thanks a lot!
> -Zhang
>
>
>
>
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