Linux / amd64
ParaView is a powerful open-source data analysis and visualization tool that has been containerized for easy deployment. Equipped with advanced features such as NVIDIA IndeX and OptiX, it enables efficient analysis and visualization of large and complex datasets by utilizing parallel processing and distributed computing techniques. NVIDIA OptiX gives ParaView the power to render physically accurate lighting and material, enabling users to create high-quality visualizations, while the integration of NVIDIA IndeX allows for improved data indexing and querying, further enhancing the analysis capabilities of the application.
Before running the NGC ParaView container please ensure your system meets the following requirements.
The following examples demonstrate using the NGC ParaView container to render wavelet source using the latest ParaView image.
To start the ParaView Server on one node with GPUs enabled, you can use the following command in the terminal:
docker run --gpus all -p 11111:11111 $IMAGE_TAG ./usr/local/paraview/bin/pvserver
To connect to the ParaView server using the command line, use the following command:
Note: Load all the plugins you plan to use on your local client before connecting to a server.
To enable the NVIDIA OptiX pathtracing backend and test it with some synthetic data, follow these steps:
Propertieswindow (lower-left by default, enabled in the
Viewmenu if it is missing), go to the
Ray Traced Renderingsubsection and check
Enable Ray Tracing.
Ray Traced Renderingsubsection, go to the
Backenddrop down menu and select
The Visualizer Web application allows for a ParaView-like experience within a web browser. This is made possible through the ParaViewWeb library, which contains all the necessary components for building the user interface and facilitating data access via WebSocket connectivity to a ParaView server. The Visualizer application connects all of these components in a meaningful way.
docker run --gpus all -p 8080:8080 -v /host_data_dir:/data $IMAGE_TAG ./usr/local/paraview/bin/pvpython /usr/local/paraview/share/paraview-5.11/web/visualizer/server/pvw-visualizer.py --content /usr/local/paraview/share/paraview-5.11/web/visualizer/www --port 8080 --data /data -i 0.0.0.0
Note: If you aren't using the latest ParaView image, be sure to update the directories in the command above.
To verify that IndeX is functioning properly, follow these steps to render a generated volume using the NVIDIA IndeX renderer:
+sign and selecting
scalar(p1)RTDataoption by clicking on the droplet dropdown menu and choosing it (be sure to deselect
NVIDIA IndeXrenderer by clicking on the eye dropdown menu and selecting it.
vtkSIProxy.cxx:422 ERR| vtkSISourceProxy (0x2296bb70): Failed to create 'vtknvindex_representation'. This typically means that ParaView does not know about the request class to create an instance of if. Ensure that it has been correctly wrapped using the client-server wrappers and the wrapping has been initialized. Note class names are case-sensitive. Check for typos. Aborting for debugging purposes.
If you're receiving this message, it means that the NVIDIA IndeX plugin has been loaded on the remote server but not locally. To resolve this issue, be sure to load the plugin on both the remote and local sides as specified above.