Research Projects: Terascale Visualization

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Project Name Tera-Scale Atomistic Visualization
Team Members Jason Kimball, Falko Kuester, Mark Duchaineau (LLNL)
Project Sponsor Partially funded by the Lawrence Livermore National Laboratory summer scholar program, UCI Henry Samueli School of Engineering, UCSD Jacobs School of Engineering
Dislocation planes from an atomistic material science simulation

Overview

We are developing visualization algorithms for real time exploration of massive, time varying point cloud datasets produced by atomistic simulations. Challenges include developing level of detail algorithms for unstructured point data and representing sub-pixel features such as occlusion and intersections. The massive size of these datasets (gigabytes per timestep) make simply loading and rendering an image a challenging task. Our algorithms target efficient exploration of tera-scale datasets which contain millions to billions of objects as well as thousands of timesteps. This project is in collaboration with Mark Duchaineau of Lawrence Livermore National Laboratories.

Publications

Copyright

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