[Paraview] Paraview with CUDA on a MPI infiband fabric cluster

[David E DeMarle]

GPGPU support in VTK/ParaView is pretty bleeding edge today.

Thus far vtkPiston (curtesy of LANL) is about the whole of it. vtkDax
(curtesy of Sandia) is in VTK master now and will be coming to ParaView
soon.

To use vtkPiston, you need to have Thrust installed and LANL's Piston
source code available. Then compile ParaView from source with the Piston
plugin enabled. Doing so exposes CPU<->GPU filters that send data objects
to and from the accelerator, and Piston's slice, contour and threshold
filters which operate on GPU resident vtkPistonDataObjects.

cheers

David E DeMarle
Kitware, Inc.
R&D Engineer
21 Corporate Drive
Clifton Park, NY 12065-8662
Phone: 518-881-4909


On Wed, Oct 23, 2013 at 6:20 PM, Yasha Karant <ykarant at csusb.edu> wrote:

> We have been using paraview for a number of years on different platforms
> but an EL environment (currently, Scientific Linux 6x).  I understand via
> Nvidia that Paraview will now support CUDA and GPU offloading for some
> parts of the execution, but I have not been able to find an actual
> implementation.  The standard download is for X86-64 linux, not for this
> plus GPU CUDA, and over a cluster of such nodes (using a flavor of MPI). Is
> there a CUDA enhanced port of Paraview?  If so, how does one obtain it?
>
> If CUDA Paraview is built from source, are the CUDA kernels included along
> with the various configuration scripts that CUDA uses for the Nvidia
> compilation system?
>
> We are running EL 6 production on X86-64 and have CUDA on the GPU compute
> engine nodes.
>
> Yasha Karant
> ykarant at csusb.edu
>
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