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=== Rendering with NVIDIA's IndeX plugin === | === Rendering with NVIDIA's IndeX plugin === | ||
NVIDIA IndeX is a 3D volumetric interactive renderer on NVIDIA GPUs enabled as a ParaView server plugin. To use IndeX, connect via client-server to ParaView 5.10 (provided by paraview-offscreen-gpu/5.10.0) running inside an interactive GPU job as described above. Then in your client go to Tools | Manage Plugins and enable pvNVIDIAIndeX plugin first locally and then remotely. Loading it locally might not be necessary on all platforms, but we saw a bug in several configurations where ParaView server would crash if the local plugin was not selected first. After enabling the plugin, load your dataset and in the Representation drop-down menu select NVIDIA Index. | NVIDIA IndeX is a 3D volumetric interactive renderer on NVIDIA GPUs enabled as a ParaView server plugin. To use IndeX, connect via client-server to ParaView 5.10 (provided by paraview-offscreen-gpu/5.10.0) running inside an interactive GPU job as described above. Then in your client go to Tools | Manage Plugins and enable the <tt>pvNVIDIAIndeX</tt> plugin first locally and then remotely. Loading it locally might not be necessary on all platforms, but we saw a bug in several configurations where ParaView server would crash if the local plugin was not selected first. After enabling the plugin, load your dataset and in the Representation drop-down menu select NVIDIA Index. | ||
Our license lets you run NVIDIA IndeX in parallel on multiple GPUs, however parallel speedup is far from perfect. Before doing any production rendering with IndeX on multiple GPUs, please test your parallel scaling and verify that using more than one GPU leads to better performance for your dataset, otherwise use a single GPU. | Our license lets you run NVIDIA IndeX in parallel on multiple GPUs, however parallel speedup is far from perfect. Before doing any production rendering with IndeX on multiple GPUs, please test your parallel scaling and verify that using more than one GPU leads to better performance for your dataset, otherwise use a single GPU. | ||