Proceedings of the 16th International Conference on Supercomputing - ICS '02 2002
DOI: 10.1145/514230.514231
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A voxel-based parallel collision detection algorithm

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Cited by 8 publications
(14 citation statements)
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“…The algorithm of [19] suggests a parallel version for Space Partitioning Based Collision Detection. The algorithm is scalable and keeps the locality principle by making any voxel a separate process.…”
Section: Related Workmentioning
confidence: 99%
See 2 more Smart Citations
“…The algorithm of [19] suggests a parallel version for Space Partitioning Based Collision Detection. The algorithm is scalable and keeps the locality principle by making any voxel a separate process.…”
Section: Related Workmentioning
confidence: 99%
“…The cost of constructing the voxels' data structures in [19] is quite low; hence, rigid objects that require frequent updates of the data structure can benefit this feature.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…ParFUM and Charm++ include a parallel collision detection library [27,28] which provides an efficient means for determining intersections of mesh pieces or other objects in a 3-d space. Each processor contributes a set of bounding boxes to the library.…”
Section: Parallel Collision Detectionmentioning
confidence: 99%
“…The performance of the library depends upon the problem, but takes O(n/p) (where n represents mesh size in number of elements and p represents the number of processors) time under reasonable assumptions for most problems. In a practical test, the library exhibits speedups of 915 on 1,500 processors, a parallel efficiency of 60% as displayed in Figure 19 [28].…”
Section: Parallel Collision Detectionmentioning
confidence: 99%