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Parallel Algorithms and Cluster Computing

Implementations, Algorithms and Applications

  • Conference proceedings
  • © 2006

Overview

Editors:
  1. Karl Heinz Hoffmann

    1. Institute of Physics – Computational Physics, Chemnitz University of Technology, Chemnitz, Germany

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    You can also search for this editor in PubMed   Google Scholar

  2. Arnd Meyer

    1. Faculty of Mathematics – Numerical Analysis, Chemnitz University of Technology, Chemnitz, Germany

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    You can also search for this editor in PubMed   Google Scholar

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

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Table of contents (19 papers)

  1. Front Matter

    Pages I-X
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  2. Implementions

    1. Front Matter

      Pages I-X
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    2. Parallel Programming Models for Irregular Algorithms

      • Gudula Rünger
      Pages 3-23

    3. Basic Approach to Parallel Finite Element Computations: The DD Data Splitting

      • Arnd Meyer
      Pages 25-35

    4. A Performance Analysis of ABINIT on a Cluster System

      • Torsten Hoefler, Rebecca Janisch, Wolfgang Rehm
      Pages 37-51

    5. Some Aspects of Parallel Postprocessing for Numerical Simulation

      • Matthias Pester
      Pages 53-64

  3. Algorithms

    1. Front Matter

      Pages I-X
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    2. Efficient Preconditioners for Special Situations in Finite Element Computations

      • Arnd Meyer
      Pages 67-85

    3. Nitsche Finite Element Method for Elliptic Problems with Complicated Data

      • Bernd Heinrich, Kornelia Pönitz
      Pages 87-104

    4. Hierarchical Adaptive FEM at Finite Elastoplastic Deformations

      • Reiner Kreißig, Anke Bucher, Uwe-Jens Görke
      Pages 105-127

    5. Wavelet Matrix Compression for Boundary Integral Equations

      • Helmut Harbrecht, Ulf Kähler, Reinhold Schneider
      Pages 129-149

    6. Numerical Solution of Optimal Control Problems for Parabolic Systems

      • Peter Benner, Sabine Görner, Jens Saak
      Pages 151-169

  4. Applications

    1. Front Matter

      Pages I-X
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    2. Parallel Simulations of Phase Transitions in Disordered Many-Particle Systems

      • Thomas Vojta
      Pages 173-201

    3. Localization of Electronic States in Amorphous Materials: Recursive Green’s Function Method and the Metal-Insulator Transition at E ≠ 0

      • Alexander Croy, Rudolf A. Römer, Michael Schreiber
      Pages 203-226

    4. Optimizing Simulated Annealing Schedules for Amorphous Carbons

      • Peter Blaudeck, Karl Heinz Hoffmann
      Pages 227-234

    5. Amorphisation at Heterophase Interfaces

      • Sibylle Gemming, Andrey Enyashin, Michael Schreiber
      Pages 235-254

    6. Energy-Level and Wave-Function Statistics in the Anderson Model of Localization

      • Bernhard Mehlig, Michael Schreiber
      Pages 255-266

    7. Fine Structure of the Integrated Density of States for Bernoulli–Anderson Models

      • Peter Karmann, Rudolf A. Römer, Michael Schreiber, Peter Stollmann
      Pages 267-280

    8. Modelling Aging Experiments in Spin Glasses

      • Karl Heinz Hoffmann, Andreas Fischer, Sven Schubert, Thomas Streibert
      Pages 281-302
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Keywords

About this book

Highperformancecomputinghaschangedthewayinwhichscienceprogresses. During the last 20 years the increase in computing power, the development of e?ective algorithms, and the application of these tools in the area of physics and engineering has been decisive in the advancement of our technological world. These abilities have allowed to treat problems with a complexity which had been out of reach for analytical approaches. While the increase in perf- mance of single processes has been immense the increase of massive parallel computing as well as the advent of clustercomputershas opened up the pos- bilities to study realistic systems. This book presents major advances in high performance computing as well as major advances due to high performance computing. The progress made during the last decade rests on the achie- ments in three distinct science areas. Openandpressingproblemsinphysicsandmechanicalengineeringarethe drivingforcebehindthedevelopmentofnewtoolsandnewapproachesinthese science areas. The treatment of complex physical systems with frustration and disorder, the analysis of the elastic and non-elastic movement of solids as well as the analysis of coupled ?uid systems, pose problems which are open to a numerical analysis only with state of the art computing power and algorithms. The desire of scienti?c accuracy and quantitative precision leads to an enormous demand in computing power. Asking the right questions in these areas lead to new insights which have not been available due to other means like experimental measurements. Thesecondareawhichisdecisivefore?ectivehighperformancecomputing is a realm of e?ective algorithms.

Editors and Affiliations

  • Institute of Physics – Computational Physics, Chemnitz University of Technology, Chemnitz, Germany

    Karl Heinz Hoffmann

  • Faculty of Mathematics – Numerical Analysis, Chemnitz University of Technology, Chemnitz, Germany

    Arnd Meyer

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