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I/O-Space Trade-Offs

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Algorithm Theory - SWAT 2000 (SWAT 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1851))

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Abstract

We define external memory (or I/O) models which capture space complexity and develop a general technique for deriving I/O-space trade-offs in these models from internal memory model time-space tradeoffs. Using this technique we show strong I/O-space product lower bounds for Sorting and Element Distinctness. We also develop new space efficient external memory Sorting algorithms.

Supported in part by National Science Foundation ESS grant EIA-9870734, RI grant EIA-997287, and CAREER grant EIA-9984099. E-mail: large@cs.duke.edu.

Partially supported by the IST Programme of the EU under contract number IST-1999-14186 (ALCOM-FT). Parts of this work was done while the author was visiting Duke University and while visiting University of Toronto. E-mail: pagter@brics. dk.

Basic Research in Computer Science. Centre of the Danish National Research Foundation.

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Authors and Affiliations

  1. Department of Computer Science, Duke University, Durham, NC 27708, USA

    Lars Arge

  2. Basic Research in Computer Science. Centre of the Danish National Research Foundation, University of Aarhus, DK-8000, Aarhus C, Denmark

    Jakob Pagter

Authors
  1. Lars Arge
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  2. Jakob Pagter
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© 2000 Springer-Verlag Berlin Heidelberg

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Arge, L., Pagter, J. (2000). I/O-Space Trade-Offs. In: Algorithm Theory - SWAT 2000. SWAT 2000. Lecture Notes in Computer Science, vol 1851. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44985-X_38

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  • DOI: https://doi.org/10.1007/3-540-44985-X_38

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67690-4

  • Online ISBN: 978-3-540-44985-0

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