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11. Interactive Geometric and Scientific Computations Using Graphics Hardware
Sunday, Full Day, 8:30 am - 5:30 pm
Room 20 D
Level: Intermediate
Recent applications of rasterization hardware to geometric and scientific problems, featuring an overview of hardware features, implementation issues, and some geometric and scientific problems that have been effectively solved so far. These include visibility, collision detection, motion planning, arrangements, boundary evaluation, model reconstruction, numeric solvers, physical simulation, etc.
Prerequisites
A first course in computer graphics and some background in graphics software APIs. Familiarity with some geometric problems, such as visibility, collision detection, motion planning and simplification, and basic numeric computations like linear solvers, FFT, etc.
Topics
Overview of graphics hardware, programmability features, computing geometric arrangements, distance fields, numeric solvers, image operations, stereo matching, scientific computations, fast Fourier transform, physically based modeling, interactive ray tracing, and walkthroughs.
Organizer
Dinesh Manocha
University of North Carolina at Chapel Hill
Lecturers
Michael Doggett
ATI Research
Shankar Krishnan
AT&T Research Labs
Ming C. Lin
Dinesh Manocha
Marc Pollefeys
University of North Carolina at Chapel Hill
Timothy J. Purcell
Stanford University
Peter Schröder
California Institute of Technology
John Spitzer
NVIDIA Corporation
Schedule
| 8:30 |
Introduction
Manocha |
| 8:45 |
Overview of Graphics Hardware
Spitzer |
| 9:15 |
Programmability Features of Graphics Hardware
Doggett |
| 10:00 |
Streaming Geometric Computations on the GPU
Krishnan |
| 10:15 |
Break |
| 10:30 |
Streaming Geometric Computations on the GPU
Krishnan |
| 10:50 |
Discretized Geometric Computations Using GPUs
Manocha |
| 11:30 |
Scientific Computations Using GPUs
Schröder |
| 12:15 |
Lunch |
| 1:30 |
Computer Vision on GPUs
Pollefeys |
| 2:00 |
Physically Based Modeling and Interactive Navigation Using GPUs
Lin |
| 2:45 |
Implementing a GPU Efficient Fast Fourier Transform
Spitzer |
| 3:15 |
Break |
| 3:30 |
Ray Tracing and Global Illumination Using Graphics Hardware
Purcell |
| 4:15 |
Interactive Walkthroughs Using Multiple GPUs
Manocha |
| 4:45 |
Conclusion and Questions |
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