Comparing the performance of two dynamic load distribution methods

Research output: Contribution to journalConference article

Abstract

The performance of two dynamic, distributed load balancing methods for small-grained tasks on large parallel machines are compared. The contracting within neighborhood (CWN) approach schedules a task on some processing element (PE) as soon as it is created; the gradient model (GM) keeps newly created tasks on the source PE, and distributes them when required. It is found that although CWN performs better than GM in most of the tests performed, both techniques fall significantly short of theoretical optimum performance.

Original languageEnglish (US)
Pages (from-to)8-12
Number of pages5
JournalProceedings of the International Conference on Parallel Processing
Volume1
StatePublished - Dec 1 1988

ASJC Scopus subject areas

  • Hardware and Architecture

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