NVIDIA IndeX plugin Update for ParaView
NVIDIA Index™ is a commercial software that enables use of graphics processing unit (GPU) clusters for real-time visualization of large volumetric and polygonal datasets. ParaView users were able to try Index™ for volume rendering in ParaView for the first time in 2015. Since then, there have been new efforts to update the plugin to add support for volume rendering of unstructured grids. In addition, new licensing terms have made it easier to use the plugin at no cost in several cases. More details on the latest Index™ update can be found on the NVIDIA blog.
If you are attending ISC High Performance 2017, you can stop by the NVIDIA booth for a demo. To learn where else you can see ParaView at the conference, go to the event listing.
Update (July 2017)
Windows binary versions for the ParaView plugin are now available for 5.3 and 5.4.
- ftp://ftp.nvidia-arc.com/private/paraview-5.3-plugin-1.1-nt-x86-64-283765.12471.exe (14279728 bytes)
- ftp://ftp.nvidia-arc.com/private/paraview-5.4-plugin-1.1-nt-x86-64-283765.12471.exe (14280848 bytes)
I got the old 5.2 version of the plugin on my request today from official site (http://www.nvidia.com/object/index-paraview-plugin.html)
Berkem, I am told that updated binaries for desktop plugin are imminent. The cluster plugin, which includes source code, is compatible with 5.4.
The desktop plugin binaries are not updated yet. Any idea on when it will be available?
I am going to ping the NVIDIA folks right now and see if they have an ETA. Thanks for being patient.
IndeX plugins for 5.4 are now available. Links added to the post.
Any news on when the Linux versions of the plugin will be available for ParaView 5.3 and 5.4?
Also, I haven’t managed so far to use successfully the IndeX with NetCDF files but only vtk files (having tried the Linux v1.0 and v1.1 for ParaView 5.1.0). Are there any specific conditions that need to be taken into account for NetCDF files? When I tried to use the IndeX with NetCDF, the data becomes invisible. It would be of great help if an example could be provided on the blog.
Here’s a reply on the NVidia forum.