6/7/2002

Student Name: Xinlian Liu

Committee:
Dr. Aiichiro Nakano (Chair)
Dr. Jerry Trahan
Dr. Rajiv K. Kalia
Dr. S. S. Iyengar
Dr. John Tyler

Date: Friday, June 14, 2002
Time: 9:00am
Location: 222 Nicholson Hall

Title: Fast Scalable Techniques for Large Particle System Walkthrough

Abstract:
A framework has been developed for interactive walkthrough involving billion particles in immersive and interactive virtual environment to enable interrogative visualization of large atomistic simulation data. The framework is based on four key techniques: i) adaptive data compression based on space-filling curves; ii) octree-based visibility and occlusion culling; iii) predictive caching based on machine learning; and iv) scalable data reduction based on parallel and distributed processing.

This visualization framework will be applicable not only to material simulation, but also to broader areas including computational biology, applied mathematics, mechanical engineering and nanotechnology.