© 2008

High Performance Computing for Computational Science - VECPAR 2008

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

  • José M. Laginha M. Palma
  • Patrick R. Amestoy
  • Michel Daydé
  • Marta Mattoso
  • João Correia Lopes
Conference proceedings VECPAR 2008

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

Table of contents

  1. Front Matter
  2. Parallel and Distributed Computing

  3. Cluster and Grid Computing

    1. Satoshi Matsuoka
      Pages 53-62
    2. Miquel Pericàs, Ricardo Chaves, Georgi N. Gaydadjiev, Stamatis Vassiliadis, Mateo Valero
      Pages 83-94
    3. Maxime Hugues, Serge G. Petiton
      Pages 95-108
    4. Peter Kacsuk, Attila Kertesz, Tamas Kiss
      Pages 109-122
    5. Jorge Barbosa, António P. Monteiro
      Pages 123-136
    6. Rosa Filgueira, David E. Singh, Juan C. Pichel, Florin Isaila, Jesús Carretero
      Pages 137-149
  4. Problem Solving Environment and Data Centric

    1. Hrachya Astsatryan, Vladimir Sahakyan, Yuri Shoukouryan, Michel Daydé, Aurelie Hurault, Marc Pantel et al.
      Pages 150-159
    2. Josep Lluis Lérida, Francesc Solsona, Francesc Giné, Jose Ramon García, Porfidio Hernández
      Pages 160-173
    3. Jacques M. Bahi, Sylvain Contassot-Vivier, Marc Sauget, Aurélien Vasseur
      Pages 174-187
    4. Melissa Paes, Alexandre A. B. Lima, Patrick Valduriez, Marta Mattoso
      Pages 188-200
    5. Carolina Bonacic, Carlos Garcia, Mauricio Marin, Manuel Prieto, Francisco Tirado, Cesar Vicente
      Pages 201-213

About these proceedings


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.


AES Partition Routing Simulation approximation asteroids calculus cluster computing cooperative engineering data management databases design encryption linear algebra load balancing

Editors and affiliations

  • José M. Laginha M. Palma
    • 1
  • Patrick R. Amestoy
    • 2
  • Michel Daydé
    • 3
  • Marta Mattoso
    • 4
  • João Correia Lopes
    • 5
  1. 1.Faculdade de Engenharia da Universidade do PortoPortoPortugal
  2. 2.University of Toulouse, INP (ENSEEIHT), IRITToulouse CEDEX 7France
  3. 3.University of Toulouse, INP (ENSEEIHT); IRITToulouse CEDEX 7France
  4. 4.Federal University of Rio de JaneiroRio de JaneiroBrazil
  5. 5.Faculty of EngineeringUniversity of PortoPortoPortugal

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