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Table of contents

  1. Front Matter
  2. Guy-René Perrin
    Pages 1-3
  3. Robert S. Schreiber
    Pages 27-44
  4. Serge G. Petiton, Nahid Emad
    Pages 45-64
  5. Fabien Coelho, Cécile Germain, Jean-Louis Pazat
    Pages 104-133
  6. Jean-Louis Pazat
    Pages 134-158
  7. P. J. Hatcher, R. D. Russell, S. Kumaran, M. J. Quinn
    Pages 159-178
  8. Jean-Luc Dekeyser, Philippe Marquet
    Pages 197-219
  9. Björn Lisper
    Pages 220-251
  10. L. Bougé, D. Cachera, Y. Le Guyadec, G. Utard, B. Virot
    Pages 252-281
  11. Back Matter

About this book

Introduction

This monograph-like book assembles the thorougly revised and cross-reviewed lectures given at the School on Data Parallelism, held in Les Menuires, France, in May 1996.
The book is a unique survey on the current status and future perspectives of the currently very promising and popular data parallel programming model. Much attention is paid to the style of writing and complementary coverage of the relevant issues throughout the 12 chapters. Thus these lecture notes are ideally suited for advanced courses or self-instruction on data parallel programming. Furthermore, the book is indispensable reading for anybody doing research in data parallel programming and related areas.

Keywords

Daten-Parallelismus Hochleistungs-Fortran Spezifikationssprachen data parallelism high performance fortran (HPF) parallel programming parallel programming languages programming specification languages

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-61736-1
  • Copyright Information Springer-Verlag Berlin Heidelberg 1996
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-61736-5
  • Online ISBN 978-3-540-70646-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site