NDLI: Scalable Collision Detection Using p-Partition Fronts on Many-Core Processors

Content Provider	IEEE Xplore Digital Library
Author	Xinyu Zhang Kim, Y.J.
Copyright Year	1995
Abstract	We present a new parallel algorithm for collision detection using many-core computing platforms of CPUs or GPUs. Based on the notion of a p-partition front, our algorithm is able to evenly partition and distribute the workload of BVH traversal among multiple processing cores without the need for dynamic balancing, while minimizing the memory overhead inherent to the state-of-the-art parallel collision detection algorithms. We demonstrate the scalability of our algorithm on different benchmarking scenarios with and without using temporal coherence, including dynamic simulation of rigid bodies, cloth simulation, and random collision courses. In these experiments, we observe nearly linear performance improvement in terms of the number of processing cores on the CPUs and GPUs.
Sponsorship	IEEE Computer Society Technical Committee on Computer Graphics IEEE Computer Society
Page Count	10
File Size	998726
Starting Page	447
Ending Page	456
File Format	PDF
ISSN	10772626
Volume Number	20
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Heuristic algorithms Program processors Coherence Approximation algorithms Partitioning algorithms Memory management Approximation methods static workload balancing Collision detection $(p)$-partition
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Signal Processing Computer Vision and Pattern Recognition Software

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