Research Projects: Terascale Visualization
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teaser1 = [[Image:UCSD_Calit2_GRAVITY_LLNL_atomvis.png||Dislocation planes from an atomistic material science simulation]] |
Revision as of 16:04, 5 September 2008
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.
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