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High Performance Computing for Computational Science - VECPAR 2008

8th International Conference, Toulouse, France, June 24-27, 2008. Revised Selected Papers

  • Conference proceedings
  • © 2008

Overview

Editors:
  1. José M. Laginha M. Palma

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

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  2. Patrick R. Amestoy

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

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  3. Michel Daydé

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

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  4. Marta Mattoso

    1. Federal University of Rio de Janeiro, Rio de Janeiro, Brazil

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  5. João Correia Lopes

    1. Faculty of Engineering, University of Porto, Porto, Portugal

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5336)

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

Included in the following conference series:

Conference proceedings info: VECPAR 2008.

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Table of contents (52 papers)

  1. Front Matter

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  2. Parallel and Distributed Computing

    1. An Overview of High Performance Computing and Challenges for the Future

      • Jack Dongarra
      Pages 1-1

    2. Parallelization of Sphere-Decoding Methods

      • Rafael A. Trujillo, Antonio M. Vidal, Víctor M. García, Alberto González
      Pages 2-12

    3. Improving the Performance of a Verified Linear System Solver Using Optimized Libraries and Parallel Computation

      • Mariana Kolberg, Gerd Bohlender, Dalcidio Claudio
      Pages 13-26

    4. Parallelisation of the CFD Code of a CFD-NWP Coupled System for the Simulation of Atmospheric Flows over Complex Terrain

      • Fernando A. Castro, Castro M. P. Silva Santos, José M. L. M. Palma
      Pages 27-38

    5. High Performance Computing for Eigenvalue Solver in Density-Matrix Renormalization Group Method: Parallelization of the Hamiltonian Matrix-Vector Multiplication

      • Susumu Yamada, Masahiko Okumura, Masahiko Machida
      Pages 39-45

    6. Tunable Parallel Experiments in a GridRPC Framework: Application to Linear Solvers

      • Yves Caniou, Jean-Sébastien Gay, Pierre Ramet
      Pages 46-52

  3. Cluster and Grid Computing

    1. The Rise of the Commodity Vectors

      • Satoshi Matsuoka
      Pages 53-62

    2. MOPS – A Morphodynamical Prediction System on Cluster Computers

      • Hartmut Kapitza
      Pages 63-68

    3. Implementing a Parallel NetCDF Interface for Seamless Remote I/O Using Multi-dimensional Data

      • Yuichi Tsujita
      Pages 69-82

    4. Vectorized AES Core for High-throughput Secure Environments

      • Miquel Pericàs, Ricardo Chaves, Georgi N. Gaydadjiev, Stamatis Vassiliadis, Mateo Valero
      Pages 83-94

    5. A Matrix Inversion Method with YML/OmniRPC on a Large Scale Platform

      • Maxime Hugues, Serge G. Petiton
      Pages 95-108

    6. Can We Connect Existing Production Grids into a World Wide Grid?

      • Peter Kacsuk, Attila Kertesz, Tamas Kiss
      Pages 109-122

    7. A List Scheduling Algorithm for Scheduling Multi-user Jobs on Clusters

      • Jorge Barbosa, António P. Monteiro
      Pages 123-136

    8. Data Locality Aware Strategy for Two-Phase Collective I/O

      • Rosa Filgueira, David E. Singh, Juan C. Pichel, Florin Isaila, Jesús Carretero
      Pages 137-149

  4. Problem Solving Environment and Data Centric

    1. A Grid-Aware Web Portal with Advanced Service Trading for Linear Algebra Calculations

      • Hrachya Astsatryan, Vladimir Sahakyan, Yuri Shoukouryan, Michel Daydé, Aurelie Hurault, Marc Pantel et al.
      Pages 150-159

    2. Resource Matching in Non-dedicated Multicluster Environments

      • Josep Lluis Lérida, Francesc Solsona, Francesc Giné, Jose Ramon García, Porfidio Hernández
      Pages 160-173

    3. A Parallel Incremental Learning Algorithm for Neural Networks with Fault Tolerance

      • Jacques M. Bahi, Sylvain Contassot-Vivier, Marc Sauget, Aurélien Vasseur
      Pages 174-187

    4. High-Performance Query Processing of a Real-World OLAP Database with ParGRES

      • Melissa Paes, Alexandre A. B. Lima, Patrick Valduriez, Marta Mattoso
      Pages 188-200

    5. Improving Search Engines Performance on Multithreading Processors

      • Carolina Bonacic, Carlos Garcia, Mauricio Marin, Manuel Prieto, Francisco Tirado, Cesar Vicente
      Pages 201-213
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About this book

This book constitutes the thoroughly refereed post-conference proceedings of the 8th International Conference on High Performance Computing for Computational Science, VECPAR 2008, held in Toulouse, France, in June 2008. The 51 revised full papers presented together with the abstract of a surveying and look-ahead talk were carefully reviewed and selected from 73 submissions. The papers are organized in topical sections on parallel and distributed computing, cluster and grid computing, problem solving environment and data centric, numerical methods, linear algebra, computing in geosciences and biosciences, imaging and graphics, computing for aerospace and engineering, and high-performance data management in grid environments.

Editors and Affiliations

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

    José M. Laginha M. Palma

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

    Patrick R. Amestoy

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

    Michel Daydé

  • Federal University of Rio de Janeiro, Rio de Janeiro, Brazil

    Marta Mattoso

  • Faculty of Engineering, University of Porto, Porto, Portugal

    João Correia Lopes

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