Book Volume 2367 2002

Applied Parallel Computing

Advanced Scientific Computing 6th International Conference, PARA 2002 Espoo, Finland, June 15–18, 2002 Proceedings

ISBN: 978-3-540-43786-4 (Print) 978-3-540-48051-8 (Online)

Table of contents (59 chapters)

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  1. Front Matter

    Pages I-XIV

  2. Keynote Lectures

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      Pages 3-17

      Enabling Numerical and Software Technologies for Studying the Electrical Activity in Human Heart

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      Pages 18-34

      Parallel Patient-Specific Computational Haemodynamics

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      Pages 35-36

      High Performance Computing, Computational Grid, and Numerical Libraries

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      Pages 37-52

      Grid Computing: Enabling a Vision for Collaborative Research

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      Pages 53-54

      HPC — What Might the Future Hold?

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      Pages 55-60

      Multi-physics and Multi-scale Modelling of Materials Processing

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      Chapter

      Pages 61-61

      Co-array Fortran for Full and Sparse Matrices

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      Pages 62-75

      Measuring the Local Geometry of Valleys in Complex Energy Landscapes by Exhaustive Exploration: The Lid Method

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      Pages 76-86

      An Overview of an Architecture Proposal for a High Energy Physics Grid

  3. Datamining and Knowledge Discovery

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      Pages 89-98

      A Data Mining Architecture for Clustered Environments

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      Pages 99-105

      Automated Fitting and Rational Modeling Algorithm for EM-Based S-Parameter Data

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      Pages 106-115

      A Proposal of High Performance Data Mining System

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      Chapter

      Pages 116-126

      A Quasi-Parallel Realization of the Investment Frontier in Computer Resource Allocation Using Simple Genetic Algorithm on a Single Computer

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      Pages 127-136

      Parallelism in Knowledge Discovery Techniques

  4. Parallel Program Development

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      Pages 139-149

      A New Approach to Parallel Debugger Architecture

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      Chapter

      Pages 150-159

      ALCOR — An Algorithmic Concept Recognition Tool to Support High Level Parallel Program Development

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      Chapter

      Pages 160-171

      MPIT — Communication/Computation Paradigm for Networks of SMP Workstations

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      Chapter

      Pages 172-181

      Code Optimization Techniques of Data-Intensive Tasks onto Statically Scheduled Architectures: Optimal Performance on the TigerSharc

  5. Practical Experiences in Parallel Computing

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      Chapter

      Pages 185-194

      PIT: A Library for the Parallelization of Irregular Problems

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      Chapter

      Pages 195-202

      Parallel Information Retrieval with Query Expansion

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