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Interprocedural array alignment analysis

  • 3. Computer Science
  • Conference paper
  • First Online:
High-Performance Computing and Networking (HPCN-Europe 1998)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1401))

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Abstract

The specification of efficient data distribution schemes is one of the major tasks in programming DMMPs with data parallel languages. Although there are no optimal strategies for generating such data distributions, several heuristics have been developed to provide some support to the user. We presented an overview of an automatic alignment analysis tool elsewhere, which is able to automatically generate alignment proposals for the arrays accessed in a procedure and thus simplifies the data distribution problem. In this paper we extend our previous work to interprocedural analysis taking into account dynamic realignment. This feature is essential for applying alignment analysis to real programs.

The work described in this paper was supported by the Austrian Science Fund FWF (SFB F011 “AURORA”) and the European Union (ESPRIT project 23502 “FITS”).

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Author information

Authors and Affiliations

  1. Institute for Software Technology and Parallel Systems, University of Vienna, Liechtensteinstrasse 22, A-1090, Vienna, Austria

    Erwin Laure

  2. VCPC, European Centre for Parallel Computing at Vienna, University of Vienna, Liechtensteinstrasse 22, A-1090, Vienna, Austria

    Barbara Chapman

Authors
  1. Erwin Laure
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  2. Barbara Chapman
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Editor information

Peter Sloot Marian Bubak Bob Hertzberger

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© 1998 Springer-Verlag Berlin Heidelberg

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Laure, E., Chapman, B. (1998). Interprocedural array alignment analysis. In: Sloot, P., Bubak, M., Hertzberger, B. (eds) High-Performance Computing and Networking. HPCN-Europe 1998. Lecture Notes in Computer Science, vol 1401. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0037202

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  • DOI: https://doi.org/10.1007/BFb0037202

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64443-9

  • Online ISBN: 978-3-540-69783-1

  • eBook Packages: Springer Book Archive

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