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Randomized parallel computation

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Fundamentals of Computation Theory (FCT 1987)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 278))

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Abstract

This paper surveys randomized parallel algorithms found in the literature for various problems in computer science. In particular we will demonstrate the power of randomization as a tool for parallelizing sequential algorithms and introduce the reader to some of the techniques employed in designing randomized parallel algorithms. We consider representative problems from the following areas of computer science and describe how randomized parallel algorithms for these problems have been obtained: 1)routing and sorting, 2)processor load balancing, 3)algebra, and 4)graph theory. Finally we discuss methods of derandomizing randomized parallel algorithms.

This author was supported by ONR Contract N00014-80-C-0647 and NSF grant DCR-85-03251

This author was also supported by the same sponsors

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Author information

Authors and Affiliations

  1. Aiken Computing Lab., Harvard University, USA

    Sanguthevar Rajasekaran

  2. Department of Computer Science, Duke University, USA

    John H. Reif

Authors
  1. Sanguthevar Rajasekaran
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  2. John H. Reif
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Editor information

Lothar Budach Rais Gatič Bukharajev Oleg Borisovič Lupanov

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© 1987 Springer-Verlag Berlin Heidelberg

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Rajasekaran, S., Reif, J.H. (1987). Randomized parallel computation. In: Budach, L., Bukharajev, R.G., Lupanov, O.B. (eds) Fundamentals of Computation Theory. FCT 1987. Lecture Notes in Computer Science, vol 278. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-18740-5_79

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  • DOI: https://doi.org/10.1007/3-540-18740-5_79

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  • Print ISBN: 978-3-540-18740-0

  • Online ISBN: 978-3-540-48138-6

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