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European Conference on Parallel Processing

Euro-Par 2011: Euro-Par 2011: Parallel Processing Workshops pp 181–190Cite as

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The Chemical Machine: An Interpreter for the Higher Order Chemical Language

The Chemical Machine: An Interpreter for the Higher Order Chemical Language

  • Vilmos Rajcsányi30 &
  • Zsolt Németh30 
  • Conference paper
  • 1374 Accesses

Part of the Lecture Notes in Computer Science book series (LNTCS,volume 7155)

Abstract

The notion of chemical computing has evolved for more than two decades. From the seminal idea several models, calculi and languages have been developed and there are various proposals for applying chemical models in distributed problem solving where some sort of autonomy, self-evolving nature and adaptation is sought. While there are some experimental chemical implementations, most of these proposals remained at the paper-and-pencil stage. This paper presents a general purpose interpreter for the Higher Order Chemical Language. The design follows that of logic/functional languages and bridges the gap between the highly abstract chemical model and the physical machine by an abstract interpreter engine. As a novel approach the engine is based on a modified hierarchical production system and turns away from imperative languages.

Keywords

  • Chemical Model
  • Physical Machine
  • Autonomic Computing
  • Desktop Grid
  • Service Orchestration

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Author information

Authors and Affiliations

  1. MTA SZTAKI Computer and Automation Research Institute, P.O. Box 63, H-1518, Hungary

    Vilmos Rajcsányi & Zsolt Németh

Authors
  1. Vilmos Rajcsányi
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  2. Zsolt Németh
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Editor information

Editors and Affiliations

  1. Scilytics, Koellnerhofgasse 3/15A, 1010, Vienna, Austria

    Michael Alexander

  2. ICAR-CNR, Via P. Castellino, 111, 80131, Napoli, Italy

    Pasqua D’Ambra

  3. University of Amsterdam, 1090, Amsterdam, Netherlands

    Adam Belloum

  4. Innovative Computing Laboratory, The University of Tennessee, USA

    George Bosilca

  5. Department of Experimental Medicine and Clinic, University Magna Græcia, 88100, Catanzaro, Italy

    Mario Cannataro

  6. Computer Science Department, University of Pisa, Italy

    Marco Danelutto

  7. Second University of Naples, Italy

    Beniamino Di Martino

  8. TU München, Boltzmannstr. 3, 85748, Garching, Germany

    Michael Gerndt

  9. Equipe Runtime, INRIA Bordeaux Sud-Ouest, 33405, Talence Cedex, France

    Emmanuel Jeannot & Raymond Namyst & 

  10. Equipe HIEPACS, INRIA Bordeaux Sud-Ouest, 33405, Talence Cedex, France

    Jean Roman

  11. Oak Ridge National Laboratory, Computer Science and Mathematics Division, 37831-6164, Oak Ridge, TN, USA

    Stephen L. Scott

  12. Department of Scientific Computing, University of Vienna, Nordbergstr. 15/3C, 1090, Vienna, Austrial

    Jesper Larsson Traff

  13. Computer Science and Mathematics Division, Oak Ridge National Laboratory, 37831, Oak Ridge, TN, USA

    Geoffroy Vallée

  14. Technische Universität München, Germany

    Josef Weidendorfer

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Cite this paper

Rajcsányi, V., Németh, Z. (2012). The Chemical Machine: An Interpreter for the Higher Order Chemical Language. In: Alexander, M., et al. Euro-Par 2011: Parallel Processing Workshops. Euro-Par 2011. Lecture Notes in Computer Science, vol 7155. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29737-3_21

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  • DOI: https://doi.org/10.1007/978-3-642-29737-3_21

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  • Print ISBN: 978-3-642-29736-6

  • Online ISBN: 978-3-642-29737-3

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