Parallel Computational Fluid Dynamics 2008

Parallel Numerical Methods, Software Development and Applications

  • Damien Tromeur-Dervout
  • Gunther Brenner
  • David R. Emerson
  • Jocelyne Erhel

Part of the Lecture Notes in Computational Science and Engineering book series (LNCSE, volume 74)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Invited speakers

    1. Front Matter
      Pages 1-1
    2. Tomoaki Kunugi, Shin-ichi Satake, Yasuo Ose, Hiroyuki Yoshida, Kazuyuki Takase
      Pages 3-14
    3. Andrea Aprovitola, Pasqua D’Ambra, Filippo Denaro, Daniela di Serafino, Salvatore Filippone
      Pages 15-27
  3. Optimisation in Aerodynamics Design

    1. Front Matter
      Pages 41-41
    2. Merim Mukinović, Gunther Brenner, Ardavan Rahimi
      Pages 43-49
    3. Erdal Oktay, Osman Merttopcuoglu, Cevat Sener, Ahmet Ketenci, Hasan U. Akay
      Pages 51-59
    4. Ignazio Maria Viola, Raffaele Ponzini, Daniele Rocchi, Fabio Fossati
      Pages 61-70
  4. Grid methods

    1. Front Matter
      Pages 91-91
    2. Takahiro Fukushige, Toshihiro Kamatsuchi, Toshiyuki Arima, Seiji Fujino
      Pages 93-100
    3. Dong-Kyun Im, Seong-Yong Wie, Eugene Kim, Jang-Hyuk Kwon, Duck-Joo Lee, Ki-Hoon Chung et al.
      Pages 101-110
    4. Hiroya Asakawa, Masashi Yamakawa, Kenichi Matsuno
      Pages 119-126
    5. Shinichi Asao, Sadanori Ishihara, Kenichi Matsuno, Masashi Yamakawa
      Pages 127-134
  5. Boundary methods

    1. Front Matter
      Pages 135-135
    2. Tomohisa Hashimoto, Keiichi Saito, Koji Morinishi, Nobuyuki Satofuka
      Pages 145-152

About these proceedings


This book collects the proceedings of the Parallel Computational Fluid Dynamics 2008 conference held in Lyon, France. Contributed papers by over 40 researchers representing the state of the art in parallel CFD and architecture from Asia, Europe, and North America examine major developments in (1) block-structured grid and boundary methods to simulate flows over moving bodies, (2) specific methods for optimization in Aerodynamics Design, (3) innovative parallel algorithms and numerical solvers, such as scalable algebraic multilevel preconditioners and the acceleration of iterative solutions, (4) software frameworks and component architectures for parallelism, (5) large scale computing and parallel efficiencies in the industrial context, (6) lattice Boltzmann and SPH methods, and (7) applications in the environment, biofluids, and nuclear engineering.


algebra algorithms computational fluid dynamics computer science fluid dynamics numerical analysis optimization parallel computation

Editors and affiliations

  • Damien Tromeur-Dervout
    • 1
  • Gunther Brenner
    • 2
  • David R. Emerson
    • 3
  • Jocelyne Erhel
    • 4
  1. 1., Institut Camille JordanUniversité Lyon 1 - CNRSVilleurbanneFrance
  2. 2., Institut für Technische MechanikTU ClausthalClausthal-ZellerfeldGermany
  3. 3.Daresbury Laboratory, Daresbury Science & Innovation CampusScience & Technology Facilities CouncilWarringtonUnited Kingdom
  4. 4.INRIA - SAGERennesFrance

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-642-14437-0
  • Online ISBN 978-3-642-14438-7
  • Series Print ISSN 1439-7358
  • About this book
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