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Neural networks for code transformation

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High-Performance Computing and Networking (HPCN-Europe 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1225))

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Abstract

This paper reports ongoing work to develop a suite of neural network tools for use in a knowledge driven parallelisation environment. Issues of code characterisation and selection of loop restructuring strategies are addressed.

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References

  1. P. Milligan, et al. “A Knowledge Based Approach to Parallel Software Engineering” in Software Engineering for Parallel and Distributed Systems, Chapman & Hall, pp 297–302, April 1996

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Authors and Affiliations

  1. Department of Computer Science, Queen's University of Belfast, UK

    V. Purnell, P. H. Corr & P. Milligan

Authors
  1. V. Purnell
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  2. P. H. Corr
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  3. P. Milligan
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Editor information

Bob Hertzberger Peter Sloot

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© 1997 Springer-Verlag Berlin Heidelberg

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Purnell, V., Corr, P.H., Milligan, P. (1997). Neural networks for code transformation. In: Hertzberger, B., Sloot, P. (eds) High-Performance Computing and Networking. HPCN-Europe 1997. Lecture Notes in Computer Science, vol 1225. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0031694

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  • DOI: https://doi.org/10.1007/BFb0031694

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-62898-9

  • Online ISBN: 978-3-540-69041-2

  • eBook Packages: Springer Book Archive

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