Termination Detection for Parallel Shortest Path Algorithms

Michelle R. Hribar, Valerie E. Taylor, David E. Boyce

Research output: Contribution to journalArticlepeer-review

10 Scopus citations


Shortest path computation is required by a large number of applications such as VLSI, transportation, and communication networks. These applications, which are often very complex and have sparse networks, generally use parallel labeling shortest path algorithms. Such algorithms, when implemented on a distributed memory machine, require termination detection methods; these methods consist of some type of synchronization among all processors. Because global synchronization can be costly, it is assumed that the best termination detection methods synchronize as infrequently as possible. The frequency, however, can significantly impact the idle time of parallel labeling shortest path algorithms. In this paper we analyze the impact of this frequency on the performance, in particular the idle time, and identify when low versus high frequency detection is best. The analysis and results indicate that when the size of the subnetwork assigned to processor is small enough so that the computation time is less than or equal to the communication time within an iteration, high frequency termination detection methods should be used. Otherwise, low frequency methods should be used.

Original languageEnglish (US)
Pages (from-to)153-165
Number of pages13
JournalJournal of Parallel and Distributed Computing
Issue number2
StatePublished - Dec 15 1998
Externally publishedYes


  • Parallel shortest path; idle time; synchronization; termination detection

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Hardware and Architecture
  • Computer Networks and Communications
  • Artificial Intelligence


Dive into the research topics of 'Termination Detection for Parallel Shortest Path Algorithms'. Together they form a unique fingerprint.

Cite this