Work dealing

  • Authors:
  • Danny Hendler;Nir Shavit

  • Affiliations:
  • Tel-Aviv University;Tel-Aviv University

  • Venue:
  • Proceedings of the fourteenth annual ACM symposium on Parallel algorithms and architectures
  • Year:
  • 2002

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Abstract

This paper introduces work-dealing, a new algorithm for "locality oriented" load distribution on small scale shared memory multi-processors. Its key feature is an unprecedented low overhead mechanism (only a couple of loads and stores per operation, and no costly compare-and-swaps) for dealing-out work to processors in a globally balanced way. We believe that for applications in which work-items have process affinity, especially applications running in dedicated mode ("stand alone"), work-dealing could prove a worthy alternative to the popular work-stealing paradigm.