Run-Time Support for Adaptive Load Balancing

  • Authors:
  • Milind A. Bhandarkar;Robert Brunner;Laxmikant V. Kalé

  • Affiliations:
  • -;-;-

  • Venue:
  • IPDPS '00 Proceedings of the 15 IPDPS 2000 Workshops on Parallel and Distributed Processing
  • Year:
  • 2000

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Abstract

Many parallel scientific applications have dynamic and irregular computational structure. However, most such applications exhibit persistence of computational load and communication structure. This allows us to embed measurement-based automatic load balancing framework in run-time systems of parallel languages that are used to build such applications. In this paper, we describe such a framework built for the Converse [4] in teroperable runtime system. This framework is composed of mechanisms for recording application performance data, a mechanism for object migration, and interfaces for plug-in load balancing strategy objects. In terfaces for strategy objects allow easy implementation of novel load balancing strategies that could use application characteristics on the entire machine, or only a local neighborhood. We present the performance of a few strategies on a synthetic benchmark and also the impact of automatic load balancing on an actual application.