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Distributed and Parallel Systems

From Instruction Parallelism to Cluster Computing

  • Book
  • © 2000

Overview

Editors:
  1. Peter Kacsuk

    1. MTA SZTAKI, Budapest, Hungary

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    You can also search for this editor in PubMed   Google Scholar

  2. Gabriele Kotsis

    1. University of Vienna, Austria

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 567)

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Table of contents (29 chapters)

  1. Front Matter

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

    1. Front Matter

      Pages 1-1
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    2. The DIWIDE Distributed Debugger on Windows NT and UNIX Platforms

      • J. Kovács, P. Kacsuk
      Pages 3-12

    3. Cobra — the Library for Building Reliable Applications in Distributed Environment

      • Jerzy BrzeziÅ„ski, Anna KobusiÅ„ska, Jacek KobusiÅ„ski, MichaÅ‚ Szychowiak
      Pages 13-22

    4. Design and Implementation of a Distributed Monitor for Semi-on-Line Monitoring of VISUALMP Applications

      • Norbert Podhorszki, Peter Kacsuk
      Pages 23-32

    5. Quality of Distributed Applications

      • Henryk Krawczyk, Bogdan Wiszniewski
      Pages 33-36

    6. Performance Technology for Complex Parallel and Distributed Systems

      • Allen D. Malony, Sameer Shende
      Pages 37-46

    7. Evaluating Performance of OpenMP and MPI on the SGI Origin 2000 with Benchmarks of Realistic Problem Sizes

      • Csaba K. Zoltani, Punyam Satya-narayana, Dixie Hisley
      Pages 47-56

    8. Performance Tuning of Parallel Realtime Voice Communication Software

      • Hermann Hellwagner, Klaus Leopold, Ralf Schlatterbeck, Carsten Weich
      Pages 57-60

    9. Clue — A Tool for Cluster Evaluation

      • Helmut Hlavacs, Dieter F. Kvasnicka, Christoph W. Ueberhuber
      Pages 61-64

  3. Algorithms and Languages

    1. Front Matter

      Pages 65-65
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    2. Efficient Run Time Optimization with Static Single Assignment

      • Jason W. Kim, Terrance E. Boult
      Pages 67-76

    3. On Classification Heuristics of Probabilistic System-Level Fault Diagnostic Algorithms

      • Tamás Bartha, Endre Selényi
      Pages 77-86

    4. Scalable Classification of Large Data Sets by Parallel Genetic Programming

      • Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano
      Pages 87-90

    5. A New Heuristic for the Process-Processor Mapping Problem

      • Zoltan Juhász, Stephen J. Turner
      Pages 91-94

    6. FIFO Buffers in tie Sauce

      • Franck Pommereau
      Pages 95-104

    7. Parameterized M-Expression Semantics of Parallel Procedures

      • Hanna Klaudel
      Pages 105-114

  4. Architectures

    1. Front Matter

      Pages 115-115
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    2. A Novel Execution Model for Logflow on a Hybrid Multithreaded Architecture

      • Zsolt Németh
      Pages 117-126

    3. The Nop Parallel Programming Model

      • Lajos Schrettner
      Pages 127-136
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Keywords

About this book

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.

Editors and Affiliations

  • MTA SZTAKI, Budapest, Hungary

    Peter Kacsuk

  • University of Vienna, Austria

    Gabriele Kotsis

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