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High Performance Computing for Computational Science – VECPAR 2016

12th International Conference, Porto, Portugal, June 28-30, 2016, Revised Selected Papers

  • Inês Dutra
  • Rui Camacho
  • Jorge Barbosa
  • Osni Marques
Conference proceedings VECPAR 2016

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10150)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 10150)

Table of contents

  1. Front Matter
    Pages I-XIII
  2. Invited Talks

    1. Front Matter
      Pages 1-1
    2. Omar Ghattas, Tobin Isaac, Noémi Petra, Georg Stadler
      Pages 3-6
    3. Mariza Ferro, Giacomo Mc Evoy, Bruno Schulze
      Pages 7-10
    4. E. Agullo, S. Cools, L. Giraud, A. Moreau, P. Salas, W. Vanroose et al.
      Pages 11-18
  3. Applications

    1. Front Matter
      Pages 19-19
    2. Toshiaki Hishinuma, Hidehiko Hasegawa, Teruo Tanaka
      Pages 21-34
    3. Hartwig Anzt, Marc Baboulin, Jack Dongarra, Yvan Fournier, Frank Hulsemann, Amal Khabou et al.
      Pages 35-43
    4. Ronan Guivarch, Guillaume Joslin, Ronan Perrussel, Daniel Ruiz, Jean Tshimanga, Thomas Unfer
      Pages 44-51
    5. Naoya Nomura, Akihiro Fujii, Teruo Tanaka, Kengo Nakajima, Osni Marques
      Pages 52-63
    6. Paulo Martins, Leonel Sousa
      Pages 75-88
    7. Allen D. Malony, Stephanie McCumsey, Joseph Byrnes, Craig Rasmusen, Soren Rasmusen, Erik Keever et al.
      Pages 89-98
  4. Performance Modeling and Analysis

    1. Front Matter
      Pages 99-99
    2. Rui Pinheiro, Nuno Roma, Pedro Tomás
      Pages 101-111
    3. Alcides Fonseca, Bruno Cabral
      Pages 121-134
    4. Kazuya Matsumoto, Norihisa Fujita, Toshihiro Hanawa, Taisuke Boku
      Pages 135-145
  5. Low Level Support

    1. Front Matter
      Pages 147-147
    2. Shinji Sumimoto, Yuichiro Ajima, Kazushige Saga, Takafumi Nose, Naoyuki Shida, Takeshi Nanri
      Pages 149-161
    3. Artur Mariano, Fábio Correia, Christian Bischof
      Pages 162-173
    4. João D. Lopes, José T. de Sousa
      Pages 174-187
  6. Environments/Libraries to Support Parallelization

    1. Front Matter
      Pages 189-189
    2. Iván Cores, Patricia González, Emmanuel Jeannot, María J. Martín, Gabriel Rodríguez
      Pages 191-205
    3. Ji Liu, Esther Pacitti, Patrick Valduriez, Marta Mattoso
      Pages 206-219
    4. Bruno Medeiros, João L. Sobral
      Pages 220-233
    5. Rui Silva, J. L. Sobral
      Pages 234-247
    6. Nuno Oliveira, Pedro D. Medeiros
      Pages 256-269
  7. Back Matter
    Pages 271-272

About these proceedings

Introduction

This book constitutes the thoroughly refereed post-conference proceedings of the 12fth International Conference on High Performance Computing in Computational Science,

VECPAR 2016, held in Porto, Portugal, in June 2016.
The 20 full papers presented were carefully reviewed and selected from 36 submissions. The papers are organized in topical sections on applications; performance modeling and analysis; low level support; environments/libraries to support parallelization.

Keywords

code generation computations on matrices computing methodologies data intensive computing distributed computing graphics processing unit high-performance simulations manycore architectures massively parallel simulations mathematical analysis modeling and simulations multicore architectures multiphysics problems multiscale problems numerical algorithms numerical linear algebra kernels parallel algorithms parallel computing performance evaluation software performance

Editors and affiliations

  • Inês Dutra
    • 1
  • Rui Camacho
    • 2
  • Jorge Barbosa
    • 3
  • Osni Marques
    • 4
  1. 1.University of PortoPortoPortugal
  2. 2.University of PortoPortoPortugal
  3. 3.University of PortoPortoPortugal
  4. 4.Lawrence Berkeley National LaboratoryBerkeleyUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-61982-8
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-61981-1
  • Online ISBN 978-3-319-61982-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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