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A parallel database accelerator

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PARLE '89 Parallel Architectures and Languages Europe (PARLE 1989)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 365))

Abstract

In this paper we present DDC (Delta Driven Computer) a parallel database accelerator. This accelerator is dedicated to process classical database applications as well as deduction. The original approach of this system comes from the computational model which is particularly adapted to parallelism. Efficiency is attained by the use of parallelism, compilation and I/O reduction. We present here a general overview of the accelerator and we focus on the language levels and the computationnal model. We conclude with a quick outlook about DDC's successor which provides a convenient and efficient way to implement advanced functionnalities required by emerging applications.

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Author information

Author notes

  1. Rubén González-Rubio

    Present address: Univ. Sherbrooke, J1K2R1, Sherbrooke Quebec, Canada

  2. Brigitte Kerhervé

    Present address: ENST, 46 rue Barrault, 75013, Paris, France

Authors and Affiliations

  1. Centre de Recherche Bull, 68 Route de Versailles, 78430, Louveciennes, France

    Björn Bergsten, Rubén González-Rubio & Mikal Ziane

  2. ESIEE, 2 Boulevard Blaise Pascal, 93162, Noisy -Le-Grand, France

    Michel Couprie

  3. INFOSYS, 15 rue Anatole France, 92800, Puteaux, France

    Brigitte Kerhervé

Authors
  1. Björn Bergsten
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  2. Michel Couprie
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  3. Rubén González-Rubio
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  4. Brigitte Kerhervé
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  5. Mikal Ziane
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Editor information

Eddy Odijk Martin Rem Jean-Claude Syre

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© 1989 Springer-Verlag Berlin Heidelberg

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Bergsten, B., Couprie, M., González-Rubio, R., Kerhervé, B., Ziane, M. (1989). A parallel database accelerator. In: Odijk, E., Rem, M., Syre, JC. (eds) PARLE '89 Parallel Architectures and Languages Europe. PARLE 1989. Lecture Notes in Computer Science, vol 365. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3540512845_53

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  • DOI: https://doi.org/10.1007/3540512845_53

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-51284-4

  • Online ISBN: 978-3-540-46183-8

  • eBook Packages: Springer Book Archive

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