<div dir="ltr">GPGPU support in VTK/ParaView is pretty bleeding edge today.<div><br></div><div>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.</div>
<div><br></div><div>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.</div>
<div><br></div><div style>cheers</div></div><div class="gmail_extra"><br clear="all"><div>David E DeMarle<br>Kitware, Inc.<br>R&D Engineer<br>21 Corporate Drive<br>Clifton Park, NY 12065-8662<br>Phone: 518-881-4909</div>
<br><br><div class="gmail_quote">On Wed, Oct 23, 2013 at 6:20 PM, Yasha Karant <span dir="ltr"><<a href="mailto:ykarant@csusb.edu" target="_blank">ykarant@csusb.edu</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
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?<br>
<br>
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?<br>
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We are running EL 6 production on X86-64 and have CUDA on the GPU compute engine nodes.<br>
<br>
Yasha Karant<br>
<a href="mailto:ykarant@csusb.edu" target="_blank">ykarant@csusb.edu</a><br>
<br>
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