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Synchronizing operations on multiple objects

  • Workshop on Run-Time Systems for Parallel Programming Matthew Haines, University of Wyoming, USA Koen Langendoen, Vrije Universiteit, The Netherlands Greg Benson, University of Califonia at Davis, USA
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Parallel and Distributed Processing (IPPS 1998)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1388))

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Abstract

Parallel programming on distributed memory systems is one of the most challenging research areas in parallel computing today. Objectbased parallel programming languages are an important class of languages for such systems. Shared objects allow the programmer to deal with data partitioning, communication, and synchronization in a highlevel manner. Synchronizing operations on a single object is well. understood. Dealing with synchronization on multiple objects distributed over the available processors, however, is still an open issue. In this paper, we will present an abstraction, called weavers, that is used to synchronize operations on multiple objects, and show how weavers are applied in a runtime support system for atomic functions on multiple objects.

This research is supported by a PIONIER grant from the Netherlands Organization for Scientific Research (N.W.O)

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Authors and Affiliations

  1. Dept. of Mathematics and Computer Science, Vrije Universiteit, Amsterdam, Netherlands

    Tim Rühl & Henri E. Bal

Authors
  1. Tim Rühl
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  2. Henri E. Bal
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José Rolim

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© 1998 Springer-Verlag Berlin Heidelberg

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Rühl, T., Bal, H.E. (1998). Synchronizing operations on multiple objects. In: Rolim, J. (eds) Parallel and Distributed Processing. IPPS 1998. Lecture Notes in Computer Science, vol 1388. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-64359-1_684

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  • DOI: https://doi.org/10.1007/3-540-64359-1_684

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64359-3

  • Online ISBN: 978-3-540-69756-5

  • eBook Packages: Springer Book Archive

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