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Parallel Algorithms and Cluster Computing

Implementations, Algorithms and Applications

  • Karl Heinz Hoffmann
  • Arnd Meyer

Part of the Lecture Notes in Computational Science and Engineering book series (LNCSE, volume 52)

Table of contents

  1. Front Matter
    Pages I-X
  2. Implementions

  3. Algorithms

    1. Front Matter
      Pages I-X
    2. Reiner Kreißig, Anke Bucher, Uwe-Jens Görke
      Pages 105-127
    3. Helmut Harbrecht, Ulf Kähler, Reinhold Schneider
      Pages 129-149
    4. Peter Benner, Sabine Görner, Jens Saak
      Pages 151-169
  4. Applications

    1. Front Matter
      Pages I-X
    2. Peter Blaudeck, Karl Heinz Hoffmann
      Pages 227-234
    3. Sibylle Gemming, Andrey Enyashin, Michael Schreiber
      Pages 235-254
    4. Peter Karmann, Rudolf A. Römer, Michael Schreiber, Peter Stollmann
      Pages 267-280
    5. Karl Heinz Hoffmann, Andreas Fischer, Sven Schubert, Thomas Streibert
      Pages 281-302
    6. Astrid Franz, Christian Schulzky, Do Hoang Ngoc Anh3, Steffen Seeger, Janett Balg, Karl Heinz Hoffmann
      Pages 303-313
    7. Hong-liu Yang, Günter Radons
      Pages 315-333
    8. Steffen Seeger, Karl Heinz Hoffmann, Arnd Meyer
      Pages 335-360
  5. Back Matter
    Pages 361-368

About these proceedings

Introduction

This book presents major advances in high performance computing as well as major advances due to high performance computing. It contains a collection of papers in which results achieved in the collaboration of scientists from computer science, mathematics, physics, and mechanical engineering are presented. From the science problems to the mathematical algorithms and on to the effective implementation of these algorithms on massively parallel and cluster computers we present state-of-the-art methods and technology as well as exemplary results in these fields. This book shows that problems which seem superficially distinct become intimately connected on a computational level.

Keywords

Cluster Simulation algorithms computational physics disordered systems finite element method mechanical engineering parallel computing parallel programming statistics

Editors and affiliations

  • Karl Heinz Hoffmann
    • 1
  • Arnd Meyer
    • 2
  1. 1.Institute of Physics – Computational PhysicsChemnitz University of TechnologyChemnitzGermany
  2. 2.Faculty of Mathematics – Numerical AnalysisChemnitz University of TechnologyChemnitzGermany

Bibliographic information

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