Scientific Visualization With Paraview

Description: This workshop presents principles and methods for visualizing data resulting from scientific measurements and computations. We discuss basic principles of scientific visualization and aspects of successful visualizations. The discussion will focus on Paraview, but the concepts apply to other visualization tools. Users of Paraview are able to explore data and create visualizations using a visual programming interface. Paraview is open-source and multi-platform, providing great flexibility in collaborative sharing of results.We will work through examples using visualization techniques such as color mapping, surface extraction, glyphs, visualization of scalar and vector fields, isolines and isosurfaces, coloring, and animation, as time permits.

From the Paraview website:

“ParaView is an open-source, multi-platform data analysis and visualization application. ParaView users can quickly build visualizations to analyze their data using qualitative and quantitative techniques. The data exploration can be done interactively in 3D or programmatically using ParaView’s batch processing capabilities.”

“ParaView was developed to analyze extremely large datasets using distributed memory computing resources. It can be run on supercomputers to analyze datasets of petascale size as well as on laptops for smaller data, has become an integral tool in many national laboratories, universities and industry, and has won several awards related to high performance computation.”

Some programming experience is recommended for this course.

Who should attend? Anyone with an interest in data analysis and scientific visualization.

Download Paraview from the Paraview website:

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