Campus Event Calendar
Event Entry
New for: D2, D3
What and Who
Fast and Scalable CPU/GPU Collision Detection for Rigid and Deformable Surfaces
Artur Koch
University of Tübingen
PhD Application Talk
AG 1, AG 2, AG 3, AG 4, AG 5, SWS, RG1, MMCI
Public Audience
English
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Date, Time and Location
Friday, 15 October 2010
09:00
90 Minutes
E1 4
024
Saarbrücken
Abstract
Collision detection is a complex and very time consuming task in many
applications and has been a vital research topic in computer graphics
for years. In this talk I will present a new alternative hybrid CPU/GPU
collision detection technique for rigid and deformable objects based on
spatial subdivision. The approach efficiently exploits the massive
computational capabilities of modern CPUs and GPUs commonly found in
off-the-shelf computer systems. The algorithm is specifically tailored
to be highly scalable on both the CPU and the GPU sides. It is able to
compute discrete and continuous external and self-collisions of
nonpenetrating rigid and deformable objects consisting of many tens of
thousands of triangles in a few milliseconds on a modern PC. The
implementation is orders of magnitude faster than earlier CPU-based
approaches and up to twice as fast as the most recent GPU-based techniques.
applications and has been a vital research topic in computer graphics
for years. In this talk I will present a new alternative hybrid CPU/GPU
collision detection technique for rigid and deformable objects based on
spatial subdivision. The approach efficiently exploits the massive
computational capabilities of modern CPUs and GPUs commonly found in
off-the-shelf computer systems. The algorithm is specifically tailored
to be highly scalable on both the CPU and the GPU sides. It is able to
compute discrete and continuous external and self-collisions of
nonpenetrating rigid and deformable objects consisting of many tens of
thousands of triangles in a few milliseconds on a modern PC. The
implementation is orders of magnitude faster than earlier CPU-based
approaches and up to twice as fast as the most recent GPU-based techniques.
Contact
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0681 93 25 225
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Stephanie Jörg, 10/14/2010 14:24
Stephanie Jörg, 10/14/2010 14:06 -- Created document.
Stephanie Jörg, 10/14/2010 14:06 -- Created document.