To use ParaView on an LC system, ParaView should be installed locally and run in client-server mode (see Running ParaView in Client-Server Mode). ParaView is not compatible with X11 forwarding. When connecting from a Windows system, ParaView must be installed locally and run in client-server mode (see Running ParaView in Client-Server Mode). Unfortunately, even the older ParaView client is not compatible with X-Win32 on Windows. If you still encounter OpenGL errors when trying to connect via client-server mode, try running module load opt mesa before starting the ParaView server. If running the ParaView client directly on the clusters isn't working properly, please try Running ParaView in Client-Server Mode, or use a remote desktop viewer like NICE DCV. OpenGL support over X forwarding is limited. Please see the additional setup instructions for Running ParaView in Client-Server Mode. It also runs far more efficiently than over X forwarding, and provides a more responsive interface. This allows access to the data and processing power that is available on the LC systems. Instead, ParaView should be run in client-server mode, which connects a local workstation's ParaView installation to an instance of ParaView running on an LC host. Therefore, the ParaView client GUI should not be run remotely. X forwarding is not supported by the latest versions of ParaView! X forwarding cannot support newer versions of OpenGL and several required OpenGL extensions. The module load paraview command will setup your PATH and any other needed environment variables. The actual installation directories are in /usr/tce/packages/paraview and /usr/gapps/paraview/ParaView Settings You can specify a particular version in the module command, e.g., module load paraview/5.11.0 Type module avail paraview to see the available options. Multiple versions may be accessible via modules. Links to the latest version exist in /usr/tce/bin It can be run on supercomputers to analyze datasets of petascale as well as on laptops/desktops for smaller data. ParaView was developed to analyze extremely large datasets using distributed memory computing resources. The data exploration can be done interactively in 3D or programmatically using ParaView's batch processing capabilities. ParaView users can quickly build visualizations to analyze their data using qualitative and quantitative techniques. Datasets will be provided.ParaView is an open-source, multiplatform data analysis and visualization application found at. Using the open-source Paraview visualization software on a desktop.Using scientific visualization in communication and decision-making.This session will cover the following topics: This will be followed by a demonstration on how Paraview can be used on a supercomputer for datasets that are too large for desktop or workstations. Following an overview, the session will focus on teaching participants how to use the open-source Paraview visualization software on their own desktop. This workshop will introduce participants to scientific visualization on both a conceptual and practical level. Scientific visualization can be applied across a number of areas, including engineering, material science, sensor/drone data, geospatial, and life sciences. Scientific visualization of large datasets allows you to identify critical areas and vulnerabilities during the design process so that you can focus efforts, cut design time and create a better product.
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