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      Towards an Effcient Implementation of Distributive Programs

      Proceedings of the 2nd International Workshop on the Theory and Practice of Algebraic Specifications (AS)

      Theory and Practice of Algebraic Specifications

      25-26 September 1997

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          Abstract

          Programs and data in distributive categories must be coded in some way in order to be executed on standard archi- tectures. In the original mathematical description of an IMP( G) interpreter [KW93] distributive data were coded as words on a suitable set. We present a new efficient coding for such data. This coding allows to exploit the known techniques used in run-time environments for object-oriented systems in order to optimize the execution of IMP( G) programs on RAM machines. Moreover, the coding is at the basis of a compiler and bytecode interpreter, which have been described equationally using ASF+SDF.

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          Author and article information

          Affiliations
          Dipartimento di Scienze dell’Informazione, Università degli Studi di Milano

          Milano, Italy
          Conference
          September 1997
          September 1997
          : 1-10
          10.14236/ewic/AL1997.13
          © Sebastiano Vigna. Published by BCS Learning and Development Ltd. Proceedings of the 2nd International Workshop on the Theory and Practice of Algebraic Specifications, Amsterdam

          This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

          Proceedings of the 2nd International Workshop on the Theory and Practice of Algebraic Specifications
          AS
          2
          Amsterdam
          25-26 September 1997
          Electronic Workshops in Computing (eWiC)
          Theory and Practice of Algebraic Specifications
          Product
          Product Information: 1477-9358 BCS Learning & Development
          Self URI (journal page): https://ewic.bcs.org/
          Categories
          Electronic Workshops in Computing

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