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Communication-intensive parallel applications and non-dedicated clusters of workstations

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Parallel and Distributed Processing (IPPS 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1586))

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Abstract

Time-sharing operating systems may delay application processing of incoming messages because other processes are scheduled when the messages arrive. In this paper, we present a simple adjustment to application polling behavior that reduces this effect when the parallel process competes with CPU-intensive sequential jobs. Our results showed that moderate improvement might be achieved. However, the effectiveness of the approach is highly application-dependent.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Maryland, 20742, College Park, MD

    Kritchalach Thitikamol & Peter Keleher

Authors
  1. Kritchalach Thitikamol
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  2. Peter Keleher
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Editor information

José Rolim Frank Mueller Albert Y. Zomaya Fikret Ercal Stephan Olariu Binoy Ravindran Jan Gustafsson Hiroaki Takada Ron Olsson Laxmikant V. Kale Pete Beckman Matthew Haines Hossam ElGindy Denis Caromel Serge Chaumette Geoffrey Fox Yi Pan Keqin Li Tao Yang G. Chiola G. Conte L. V. Mancini Domenique Méry Beverly Sanders Devesh Bhatt Viktor Prasanna

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© 1999 Springer-Verlag

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Thitikamol, K., Keleher, P. (1999). Communication-intensive parallel applications and non-dedicated clusters of workstations. In: Rolim, J., et al. Parallel and Distributed Processing. IPPS 1999. Lecture Notes in Computer Science, vol 1586. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0097935

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  • DOI: https://doi.org/10.1007/BFb0097935

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65831-3

  • Online ISBN: 978-3-540-48932-0

  • eBook Packages: Springer Book Archive

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