Automated load balancing in SPEEDES

Linda F. Wilson, David M. Nicol

Research output: Contribution to journalConference article

Abstract

Parallel discrete-event simulation offers the potential for significant speedup over sequential simulation. Unfortunately, high performance is often achieved only after rigorous fine-tuning is used to obtain an efficient mapping of tasks to processors. In practice, good performance with minimal effort is often preferable to high performance with excessive effort. In this paper, we discuss our research in adding automated load balancing to the SPEEDES simulation framework. Using simulation models of queuing networks and the National Airspace System, we demonstrate that using run-time measurements, our automated load-balancing scheme can achieve better performance than simple allocation methods that do not use run-time measurements, particularly when large numbers of processors are used.

Original languageEnglish (US)
Pages (from-to)590-596
Number of pages7
JournalWinter Simulation Conference Proceedings
DOIs
StatePublished - Jan 1 1995
Externally publishedYes
EventProceedings of the 1995 Winter Simulation Conference, WSC'95 - Arlington, VA, USA
Duration: Dec 3 1995Dec 6 1995

ASJC Scopus subject areas

  • Software
  • Modeling and Simulation
  • Safety, Risk, Reliability and Quality
  • Chemical Health and Safety
  • Applied Mathematics

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