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Implementing parallel rewriting

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Parallelization in Inference Systems

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 590))

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Abstract

Rewriting is a computation paradigm that allows to implement directly an equational specification (eg. an abstract data type). Much work has been done about theoretical aspects of rewriting, which has made this technique of practical interest for programming. The next step is now to provide an efficient implementation. We present in this paper an implementation technique of rewriting on any loosely-coupled parallel architectures. Restricted to one processor, its efficiency is in the same order of magnitude as those of functional languages such as interpreted LISP or ML, and we expect an almost linear increase of the efficiency when increasing the number of processors.

This approach allows parallel execution of programs directly from their equationally axiomatized specification, without having at all to explicit the potential parallelism, thus providing a simple and precise operational semantics.

This research has been partially supported by the GRECO at Programmation of CNRS, the Basic Research Workshop COMPASS of the CEC and contract MRT 89P0423.

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Authors and Affiliations

  1. INRIA Lorraine & CRIN, 615 Rue du Jardin Botanique, BP101, 54600, Villers les Nancy, France

    Claude Kirchner & Patrick Viry

Authors
  1. Claude Kirchner
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  2. Patrick Viry
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B. Fronhöfer G. Wrightson

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© 1992 Springer-Verlag Berlin Heidelberg

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Kirchner, C., Viry, P. (1992). Implementing parallel rewriting. In: Fronhöfer, B., Wrightson, G. (eds) Parallelization in Inference Systems. Lecture Notes in Computer Science, vol 590. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-55425-4_5

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  • DOI: https://doi.org/10.1007/3-540-55425-4_5

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-55425-7

  • Online ISBN: 978-3-540-47066-3

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