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A software architecture for massively parallel input-output

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Applied Parallel Computing Industrial Computation and Optimization (PARA 1996)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1184))

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Abstract

For an increasing number of data intensive scientific applications, parallel I/O concepts are a major performance issue. Tackling this issue, we provide an outline of an input/output system designed for highly efficient, scalable and conveniently usable parallel I/O on distributed memory systems. The main focus of this paper is the parallel I/O runtime system support provided for software-generated programs produced by parallelizing compilers in the context of High Performance FORTRAN efforts. Specifically, our design is presented in the context of the Vienna Fortran Compilation System.

The work described in this paper is being carried out as part of the research project “Language, Compiler and Advanced Data Structure Support for Parallel I/O Operations” supported by the Austrian Research Foundation (FWF Grant P11006-MAT).

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Author information

Authors and Affiliations

  1. Institute for Software Technology and Parallel Systems, University of Vienna, Liechtensteinstr. 22, A-1092, Vienna

    Peter Brezany

  2. Department of Data Engineering, University of Vienna, Rathausstrasse 19/4, A-1010, Vienna, Austria

    Thomas A. Mueck & Erich Schikuta

Authors
  1. Peter Brezany
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  2. Thomas A. Mueck
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  3. Erich Schikuta
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Editor information

Jerzy Waśniewski Jack Dongarra Kaj Madsen Dorte Olesen

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© 1996 Springer-Verlag Berlin Heidelberg

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Brezany, P., Mueck, T.A., Schikuta, E. (1996). A software architecture for massively parallel input-output. In: Waśniewski, J., Dongarra, J., Madsen, K., Olesen, D. (eds) Applied Parallel Computing Industrial Computation and Optimization. PARA 1996. Lecture Notes in Computer Science, vol 1184. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-62095-8_10

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  • DOI: https://doi.org/10.1007/3-540-62095-8_10

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-62095-2

  • Online ISBN: 978-3-540-49643-4

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