Run-time support for adaptive load balancing

Milind A. Bhandarkar, Robert K. Brunner, Laxmikant V. Kalé

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 frame-work 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] interoperable 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. Interfaces 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.

Original languageEnglish (US)
Title of host publicationParallel and Distributed Processing - 15 IPDPS 2000 Workshops, Proceedings
EditorsJose Rolim
PublisherSpringer
Pages1152-1159
Number of pages8
ISBN (Print)354067442X, 9783540674429
DOIs
StatePublished - Jan 1 2000
Event15 Workshops Held in Conjunction with the IEEE International Parallel and Distributed Processing Symposium, IPDPS 2000 - Cancun, Mexico
Duration: May 1 2000May 5 2000

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1800 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other15 Workshops Held in Conjunction with the IEEE International Parallel and Distributed Processing Symposium, IPDPS 2000
Country/TerritoryMexico
CityCancun
Period5/1/005/5/00

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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