Predicting the Performance of Randomized Parallel Search: An Application to Robot Motion Planning

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Abstract

The methods for predicting the performance of any formulation of randomized parallel search were discussed. A prediction method based on obtaining an accurate estimate of the k-processor run-time distribution was proposed. The estimation methods were useful for determining the parallel resources required by the robot motion planning system.

Original languageEnglish (US)
Pages (from-to)31-53
Number of pages23
JournalJournal of Intelligent and Robotic Systems: Theory and Applications
Volume38
Issue number1
DOIs
StatePublished - Sep 2003

Bibliographical note

Funding Information:
★ Work supported in part by ARO grant DA/DAAG55-98-1-0441, ARO grant DA/DAAG55-97-1-021, and NSF grant NSF CCR-9972519.

Keywords

  • Parallel computers
  • Performance evaluation
  • Randomized parallel search
  • Randomized path planning

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