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Distributed and Parallel Systems

From Instruction Parallelism to Cluster Computing

  • Peter Kacsuk
  • Gabriele Kotsis

Table of contents

  1. Front Matter
    Pages i-xii
  2. Software Development Environments and Performance Evaluation

    1. Front Matter
      Pages 1-1
    2. Jerzy Brzeziński, Anna Kobusińska, Jacek Kobusiński, Michał Szychowiak
      Pages 13-22
    3. Henryk Krawczyk, Bogdan Wiszniewski
      Pages 33-36
    4. Allen D. Malony, Sameer Shende
      Pages 37-46
    5. Hermann Hellwagner, Klaus Leopold, Ralf Schlatterbeck, Carsten Weich
      Pages 57-60
    6. Helmut Hlavacs, Dieter F. Kvasnicka, Christoph W. Ueberhuber
      Pages 61-64
  3. Algorithms and Languages

    1. Front Matter
      Pages 65-65
    2. Jason W. Kim, Terrance E. Boult
      Pages 67-76
    3. Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano
      Pages 87-90
    4. Zoltan Juhász, Stephen J. Turner
      Pages 91-94
    5. Franck Pommereau
      Pages 95-104
  4. Architectures

    1. Front Matter
      Pages 115-115
    2. Lajos Schrettner
      Pages 127-136
    3. Makoto Shimosaki, Hideo Taniguchi, Makoto Amamiya
      Pages 137-146
    4. Klaus Breidler, Harald Kosch, László. Böszörményi
      Pages 147-150
    5. F. Csikor, Z. Fodor, P. Hegedüs, S. D. Katz, A. Piróth, V. K. Horváth
      Pages 151-154
    6. M. Marino, G. Campos
      Pages 165-168
    7. Fabrizio Baiardi, Gianmarco Dobloni, Paolo Mori, Laura Ricci
      Pages 169-172
  5. Web and Cluster Computing

    1. Front Matter
      Pages 173-173
    2. Wolfgang Schreiner, Christian Mittermaier, Franz Winkler
      Pages 175-184
    3. E. M. Macías-López, A. Suárez, C. N. Ojeda-Guerra, L. Gómez
      Pages 185-194
    4. Stefan Podlipnig, László Böszörményi
      Pages 195-204
    5. Ray Flanery, Al Geist, Brian Luethke, Stephen L. Scott
      Pages 205-214
    6. Václav Dvořák, Rudolf Čejka
      Pages 225-228
    7. Zoltan Juhász, Laszlo Késmárki
      Pages 229-232
  6. Back Matter
    Pages 233-233

About this book

Introduction

Distributed and Parallel Systems: From Instruction Parallelism to Cluster Computing is the proceedings of the third Austrian-Hungarian Workshop on Distributed and Parallel Systems organized jointly by the Austrian Computer Society and the MTA SZTAKI Computer and Automation Research Institute. This book contains 18 full papers and 12 short papers from 14 countries around the world, including Japan, Korea and Brazil. The paper sessions cover a broad range of research topics in the area of parallel and distributed systems, including software development environments, performance evaluation, architectures, languages, algorithms, web and cluster computing.
This volume will be useful to researchers and scholars interested in all areas related to parallel and distributed computing systems.

Keywords

Automat Cluster OpenMP UNIX algorithms parallel programming processor

Editors and affiliations

  • Peter Kacsuk
    • 1
  • Gabriele Kotsis
    • 2
  1. 1.MTA SZTAKIBudapestHungary
  2. 2.University of ViennaAustria

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4615-4489-0
  • Copyright Information Kluwer Academic Publishers 2000
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-7023-9
  • Online ISBN 978-1-4615-4489-0
  • Series Print ISSN 0893-3405
  • Buy this book on publisher's site