Scalable parallel collision detection simulation

Ilan Grinberg, Yair Wiseman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Several simulations for parallel collision detection have been suggested during the last years. The algorithms usually greatly depend on the parallel infrastructure and this dependency causes in many times non-scalability performance. The dependency also harms the portability of the simulation. This paper suggests a scalable and portable parallel algorithm for collision detection simulation that fits both clusters and MPI machines.

Original languageEnglish
Title of host publicationProceedings of the 9th IASTED International Conference on Signal and Image Processing, SIP 2007
Pages380-385
Number of pages6
StatePublished - 2007
Externally publishedYes
Event9th IASTED International Conference on Signal and Image Processing, SIP 2007 - Honolulu, HI, United States
Duration: 20 Aug 200722 Aug 2007

Publication series

NameProceedings of the 9th IASTED International Conference on Signal and Image Processing, SIP 2007

Conference

Conference9th IASTED International Conference on Signal and Image Processing, SIP 2007
Country/TerritoryUnited States
CityHonolulu, HI
Period20/08/0722/08/07

Keywords

  • Geometry models
  • Motion detection and estimation
  • Parallel and distributed simulation
  • Scalability

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