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Parallel Processing Based on Active-Data

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Scientific Computing on Supercomputers

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Abstract

Parallelism as a means to increased computer performance is now widely accepted. Current interfaces to implementations of parallelism in computer systems tend to increase the complexity of the programming task, through elitism, asynchrony and little abstraction away from the underlying implementation. Moreover the most popular abstractions being proposed to limit this complexity, those of the applicative programming school, tend to be based on the process as a means of organizing and controlling the underlying replication. It is the tenet of this paper that the data structure and its composition provide the most efficient abstraction for an implementation of parallelism without pains. Moreover the object oriented paradigm is proposed as a suitable vehicle for its effective implementation.

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Reference

  • Cox, B.J., 1986, “Object Oriented Programming”, Addison-Wesley. Flanders, P.M., 1982, A unified approach to a class of data movemetns on array processors, IEEE Trans.Comput. C-31: 405 –408

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Author information

Authors and Affiliations

  1. Department of Electronics and Computer Science, The University, Southampton, SO9 5NH, UK

    C. Jesshope

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  1. C. Jesshope
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Editor information

Editors and Affiliations

  1. University of Antwerp, Antwerp, Belgium

    Jozef T. Devreese  & Piet E. Van Camp  & 

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© 1989 Plenum Press, New York

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Jesshope, C. (1989). Parallel Processing Based on Active-Data. In: Devreese, J.T., Van Camp, P.E. (eds) Scientific Computing on Supercomputers. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-0819-5_2

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  • DOI: https://doi.org/10.1007/978-1-4613-0819-5_2

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4612-8098-9

  • Online ISBN: 978-1-4613-0819-5

  • eBook Packages: Springer Book Archive

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