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High Performance Computing for Computational Science - VECPAR 2004

6th International Conference, Valencia, Spain, June 28-30, 2004, Revised Selected and Invited Papers

  • Conference proceedings
  • © 2005

Overview

Editors:
  1. Michel Daydé

    1. INP (ENSEEIHT); IRIT, University of Toulouse, Toulouse CEDEX 7, France

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  2. Jack Dongarra

    1. Computer Science Department, University of Tennessee, Knoxville, USA

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  3. Vicente Hernández

    1. EUIT Telecomunicación - DIATEL, Universidad Politécnica de Madrid, Madrid, Spain

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  4. José M. L. M. Palma

    1. Faculdade de Engenharia da Universidade do Porto, Porto, Portugal

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 3402)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: VECPAR 2004.

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About this book

VECPAR is a series of international conferences dedicated to the promotion and advancement of all aspects of high-performance computing for computational science, as an industrial technique and academic discipline, extending the fr- tier of both the state of the art and the state of practice. The audience for and participants in VECPAR are seen as researchers in academic departments, g- ernment laboratories and industrial organizations. There is now a permanent website for the series, http://vecpar.fe.up.pt, where the history of the conf- ences is described. ThesixtheditionofVECPARwasthe?rsttimetheconferencewascelebrated outside Porto – at the Universitad Politecnica de Valencia (Spain), June 28–30, 2004. The whole conference programme consisted of 6 invited talks, 61 papers and26posters,outof130contributionsthatwereinitiallysubmitted.Themajor themes were divided into large-scale numerical and non-numerical simulations, parallel and grid computing, biosciences, numerical algorithms, data mining and visualization. This postconference book includes the best 48 papers and 5 invited talks presented during the three days of the conference. The book is organized into 6 chapters, with a prominent position reserved for the invited talks and the Best Student Paper. As a whole it appeals to a wide research community, from those involved in the engineering applications to those interested in the actual details of the hardware or software implementations, in line with what, in these days, tends to be considered as computational science and engineering (CSE).

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Table of contents (53 papers)

  1. Front Matter

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  2. Chapter 1: Large Scale Computations

    1. Large Scale Simulations

      • Sato Tetsuya
      Pages 1-9

    2. Development and Integration of Parallel Multidisciplinary Computational Software for Modeling a Modern Manufacturing Process

      • Brian J. Henz, Dale R. Shires, Ram V. Mohan
      Pages 10-22

    3. Automatically Tuned FFTs for BlueGene/L’s Double FPU

      • Franz Franchetti, Stefan Kral, Juergen Lorenz, Markus Püschel, Christoph W. Ueberhuber
      Pages 23-36

    4. A Survey of High-Quality Computational Libraries and Their Impact in Science and Engineering Applications

      • L. A. Drummond, V. Hernandez, O. Marques, J. E. Roman, V. Vidal
      Pages 37-50

    5. A Performance Evaluation of the Cray X1 for Scientific Applications

      • Leonid Oliker, Rupak Biswas, Julian Borrill, Andrew Canning, Jonathan Carter, M. Jahed Djomehri et al.
      Pages 51-65

    6. Modelling Overhead of Tuple Spaces with Design of Experiments

      • Frederic Hancke, Tom Dhaene, Jan Broeckhove
      Pages 66-77

    7. Analysis of the Interaction of Electromagnetic Signals with Thin-Wires Structures. Multiprocessing Issues for an Iterative Method

      • E. M. Garzón, S. Tabik, A. R. Bretones, I. García
      Pages 78-89

    8. A Performance Prediction Model for Tomographic Reconstruction in Structural Biology

      • Paula Cecilia Fritzsche, José-Jesús Fernández, Ana Ripoll, Inmaculada García, Emilio Luque
      Pages 90-103

  3. Chapter 2: Data Management and Data Mining

    1. Data Management in Large-Scale P2P Systems

      • Patrick Valduriez, Esther Pacitti
      Pages 104-118

    2. A High Performance System for Processing Queries on Distributed Geospatial Data Sets

      • Mahdi Abdelguerfi, Venkata Mahadevan, Nicolas Challier, Maik Flanagin, Kevin Shaw, Jay Ratcliff
      Pages 119-128

    3. Parallel Implementation of Information Retrieval Clustering Models

      • Daniel Jiménez, Vicente Vidal
      Pages 129-141

    4. Distributed Processing of Large BioMedical 3D Images

      • Konstantinos Liakos, Albert Burger, Richard Baldock
      Pages 142-155

    5. Developing Distributed Data Mining Applications in the Knowledge Grid Framework

      • Giuseppe Bueti, Antonio Congiusta, Domenico Talia
      Pages 156-169

    6. Scaling Up the Preventive Replication of Autonomous Databases in Cluster Systems

      • Cédric Coulon, Esther Pacitti, Patrick Valduriez
      Pages 170-183

    7. Parallel Implementation of a Fuzzy Rule Based Classifier

      • Alexandre G. Evsukoff, Myrian C. A. Costa, Nelson F. F. Ebecken
      Pages 184-193

  4. Chapter 3: Grid Computing Infrastructure

    1. The EGEE European Grid Infrastructure Project

      • Fabrizio Gagliardi
      Pages 194-203

    2. Grid Technology for Biomedical Applications

      • Vincent Breton, Christophe Blanchet, Yannick Legré, Lydia Maigne, Johan Montagnat
      Pages 204-218

    3. Three-Dimensional Cardiac Electrical Activity Simulation on Cluster and Grid Platforms

      • J. M. Alonso, J. M. Ferrero, V. Hernández, G. Moltó, M. Monserrat, J. Saiz
      Pages 219-232

    4. 2DRMP-G: Migrating a Large-Scale Numerical Mathematical Application to a Grid Environment

      • T. Harmer, N. S. Scott, V. Faro-Maza, M. P. Scott, P. G. Burke, A. Carson et al.
      Pages 233-246
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Other volumes

  1. High Performance Computing for Computational Science - VECPAR 2004

Editors and Affiliations

  • INP (ENSEEIHT); IRIT, University of Toulouse, Toulouse CEDEX 7, France

    Michel Daydé

  • Computer Science Department, University of Tennessee, Knoxville, USA

    Jack Dongarra

  • EUIT Telecomunicación - DIATEL, Universidad Politécnica de Madrid, Madrid, Spain

    Vicente Hernández

  • Faculdade de Engenharia da Universidade do Porto, Porto, Portugal

    José M. L. M. Palma

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