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Implementing Fusion-Equipped Parallel Skeletons by Expression Templates

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Implementation and Application of Functional Languages (IFL 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6041))

Abstract

Developing efficient parallel programs is more difficult and complicated than developing sequential ones. Skeletal parallelism is a promising methodology for easy parallel programming in which users develop parallel programs by composing ready-made components called parallel skeletons. We developed a parallel skeleton library SkeTo that provides parallel skeletons implemented in C++ and MPI for distributed-memory environments. In the new version of the library, the implementation of the parallel skeletons for lists is improved so that the skeletons equip themselves with fusion optimization. The optimization mechanism is implemented based on the programming technique called expression templates. In this paper, we illustrate the improved design and implementation of parallel skeletons for lists in the SkeTo library.

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Author information

Authors and Affiliations

  1. School of Information, Kochi University of Technology, Japan

    Kiminori Matsuzaki

  2. Graduate School of Information Science and Technology, University of Tokyo, Japan

    Kento Emoto

Authors
  1. Kiminori Matsuzaki
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  2. Kento Emoto
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Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, Seton Hall University, 400 South Orange Avenue, 07079, South Orange, NJ, USA

    Marco T. Morazán

  2. School of Computer Science, University of Hertfordshire, College Lane, AL10 9AB, Hatfield, Herts, UK

    Sven-Bodo Scholz

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Matsuzaki, K., Emoto, K. (2010). Implementing Fusion-Equipped Parallel Skeletons by Expression Templates. In: Morazán, M.T., Scholz, SB. (eds) Implementation and Application of Functional Languages. IFL 2009. Lecture Notes in Computer Science, vol 6041. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16478-1_5

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  • DOI: https://doi.org/10.1007/978-3-642-16478-1_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16477-4

  • Online ISBN: 978-3-642-16478-1

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