GPU1
Tuesday, 10 August
8:30 - 10:15 am
Room 502A
Session Chair: Eric Haines, Autodesk, Inc.

Faster GPU Computations Using Adaptive Refinement A technique for improving the speed of multi-pass GPU computations by using adaptive refinement. Craig Donner University of California, San Diego cdonner (at) graphics.ucsd.edu Henrik Wann Jensen University of California, San Diego
Quick-VDR: Interactive View-Dependent Rendering of Massive Models A novel approach for interactive view-dependent rendering of massive models and demonstration of interactive results (10-35 fps) on a 100M-triangle isosurface and a 372M-triangle scanned model. Sung-Eui Yoon University of North Carolina at Chapel Hill sungeui (at) cs.unc.edu Russell Gayle Dinesh Manocha Brian Salomon University of North Carolina at Chapel Hill
Fast and Reliable Collision Culling Using Graphics Hardware A fast and reliable collision culling algorithm on graphics processors for handling complex objects with tens of thousands of polygons, including objects undergoing deformation and non-rigid motion. Naga K. Govindaraju University of North Carolina at Chapel Hill naga (at) cs.unc.edu Ming C. Lin Dinesh Manocha University of North Carolina at Chapel Hill
UberFlow: A GPU-Based Particle Engine A particle engine on GPU for real-time animation of large particle sets using OpenGL memory objects to create, manipulate, and render geometry without read-back, including inter-particle collision and visibility sorting. Peter Kipfer Technische Universität München kipfer (at) in.tum.de Mark Segal ATI Research Rüdiger Westermann Technische Universität München