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Algorithm Engineering for Parallel Computation

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Experimental Algorithmics

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2547))

Abstract

The emerging discipline of algorithm engineering has primarily focused on transforming pencil-and-paper sequential algorithms into robust, efficient, well tested, and easily used implementations. As parallel computing becomes ubiquitous, we need to extend algorithm engineering techniques to parallel computation. Such an extension adds significant complications. After a short review of algorithm engineering achievements for sequential computing, we review the various complications caused by parallel computing, present some examples of successful efforts, and give a personal view of possible future research.

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Authors and Affiliations

  1. Departments of Electrical and Computer Engineering, and Computer Science, University of New Mexico, 87131, Albuquerque, NM, USA

    David A. Bader & Bernard M. E. Moret

  2. Max-Planck-Institut für Informatik, Stuhlsatzenhausweg 85, 66123, Saarbrücken, Germany

    Peter Sanders

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  1. David A. Bader
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  2. Bernard M. E. Moret
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Editors and Affiliations

  1. Department of Computer Science, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong

    Rudolf Fleischer

  2. Department of Computer Science, University of New Mexico, Farris Engineering Bldg, 87131-1386, Albuquerque, NM, USA

    Bernard Moret

  3. Department of Computer Science, University of Aarhus, Bld. 540, Ny Munkegade, 8000, Aarhus C, Denmark

    Erik Meineche Schmidt

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Bader, D.A., Moret, B.M.E., Sanders, P. (2002). Algorithm Engineering for Parallel Computation. In: Fleischer, R., Moret, B., Schmidt, E.M. (eds) Experimental Algorithmics. Lecture Notes in Computer Science, vol 2547. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36383-1_1

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