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Programming Environments for Massively Parallel Distributed Systems

Working Conference of the IFIP WG 10.3, April 25–29, 1994

  • Conference proceedings
  • © 1994

Overview

Editors:
  1. Karsten M. Decker

    1. Swiss Scientific Computing Center, CSCS ETH-Zürich, Manno

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  2. René M. Rehmann

    1. Swiss Scientific Computing Center, CSCS ETH-Zürich, Manno

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Monte Verita (MV)

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Table of contents (45 papers)

  1. Front Matter

    Pages I-XIV
    Download chapter PDF

  2. The Cray Research MPP Fortran Programming Model

    • Tom MacDonald, Zdenek Sekera
    Pages 1-12

  3. Resource Optimisation via Structured Parallel Programming

    • B. Bacci, M. Danelutto, S. Pelagatti
    Pages 13-25

  4. SYNAPS/3 — An Extension of C for Scientific Computations

    • V. A. Serebriakov, A. N. Bezdushny, C. G. Belov
    Pages 27-36

  5. The Pyramid Programming System

    • Zheng Lin, Songnian Zhou, Wenfeng Li
    Pages 37-46

  6. Intelligent Algorithm Decomposition for Parallelism with Alfer

    • S. N. McIntosh-Smith, B. M Brown, S. Hurley
    Pages 47-56

  7. Symbolic Array Data Flow Analysis and Pattern Recognition in Numerical Codes

    • Christoph W. Keßler
    Pages 57-68

  8. A GUI for Parallel Code Generation

    • Mark R. Gilder, Mukkai S. Krishnamoorthy, John R. Punin
    Pages 69-79

  9. Formal Techniques Based on Nets, Object Orientation and Reusability for Rapid Prototyping of Complex Systems

    • Fabrice Kordon
    Pages 81-89

  10. Adaptor — A Transformation Tool for HPF Programs

    • Thomas Brandes, Falk Zimmermann
    Pages 91-96

  11. A Parallel Framework for Unstructured Grid Solvers

    • D. A. Burgess, P. I. Crumpton, M. B. Giles
    Pages 97-106

  12. A Study of Software Development for High Performance Computing

    • Manish Parashar, Salim Hariri, Tomasz Haupt, Geoffrey Fox
    Pages 107-116

  13. Parallel Computational Frames: An Approach to Parallel Application Development based on Message Passing Systems

    • M. Fruscione, P. Flocchini, E. Giudici, S. Punzi, P. Stofella
    Pages 117-126

  14. A Knowledge-Based Scientific Parallel Programming Environment

    • Karsten M. Decker, Jiri J. Dvorak, René M. Rehmann
    Pages 127-138

  15. Parallel Distributed Algorithm Design Through Specification Transformation: The Asynchronous Vision System

    • Didier Buchs, Daniel Monteiro, Fabrice Mourlin, Denis Brunet
    Pages 139-145

  16. Steps Towards Reusability and Portability in Parallel Programming

    • Helmar Burkhart, Stephan Gutzwiller
    Pages 147-157

  17. An Environment for Portable Distributed Memory Parallel Programming

    • C. Clémençon, A. Endo, J. Fritscher, A. Müller, R. Rühl, B. J. N. Wylie
    Pages 159-170

  18. Reuse, Portability and Parallel Libraries

    • Lyndon J. Clarke, Robert A. Fletcher, Shari M. Trewin, R. Alasdair, A. Bruce, A. Gordon Smith et al.
    Pages 171-182

  19. Assessing the Usability of Parallel Programming Systems: The Cowichan Problems

    • Gregory V. Wilson
    Pages 183-193

  20. Experimentally Assessing the Usability of Parallel Programming Systems

    • Duane Szafron, Jonathan Schaeffer
    Pages 195-201
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Keywords

About this book

Massively Parallel Systems (MPSs) with their scalable computation and storage space promises are becoming increasingly important for high-performance computing. The growing acceptance of MPSs in academia is clearly apparent. However, in industrial companies, their usage remains low. The programming of MPSs is still the big obstacle, and solving this software problem is sometimes referred to as one of the most challenging tasks of the 1990's. The 1994 working conference on "Programming Environments for Massively Parallel Systems" was the latest event of the working group WG 10.3 of the International Federation for Information Processing (IFIP) in this field. It succeeded the 1992 conference in Edinburgh on "Programming Environments for Parallel Computing". The research and development work discussed at the conference addresses the entire spectrum of software problems including virtual machines which are less cumbersome to program; more convenient programming models; advanced programming languages, and especially more sophisticated programming tools; but also algorithms and applications.

Editors and Affiliations

  • Swiss Scientific Computing Center, CSCS ETH-Zürich, Manno

    Karsten M. Decker, René M. Rehmann

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