High Performance Computing for Computational Science -- VECPAR 2014

11th International Conference, Eugene, OR, USA, June 30 -- July 3, 2014, Revised Selected Papers

  • Michel Daydé
  • Osni Marques
  • Kengo Nakajima
Conference proceedings VECPAR 2014

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8969)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 8969)

Table of contents

  1. Front Matter
    Pages I-XVII
  2. Algorithms for GPU and Manycores

    1. Front Matter
      Pages 1-1
    2. Langshi Chen, Serge G. Petiton, Leroy A. Drummond, Maxime Hugues
      Pages 3-16
    3. Azzam Haidar, Piotr Luszczek, Stanimire Tomov, Jack Dongarra
      Pages 31-42
    4. Fan Ye, Christophe Calvin, Serge G. Petiton
      Pages 43-56
  3. Large-Scale Applications

    1. Front Matter
      Pages 77-77
    2. Prasanna Balaprakash, Yuri Alexeev, Sheri A. Mickelson, Sven Leyffer, Robert Jacob, Anthony Craig
      Pages 79-91
    3. Timothy Costa, David Foster, Malgorzata Peszynska
      Pages 92-101
    4. Heidi K. Thornquist, Sivasankaran Rajamanickam
      Pages 102-111
  4. Numerical Algorithms

    1. Front Matter
      Pages 113-113
    2. Hartwig Anzt, Dimitar Lukarski, Stanimire Tomov, Jack Dongarra
      Pages 115-123
    3. Ziming Zheng, Andrew A. Chien, Keita Teranishi
      Pages 124-132
  5. Direct/Hybrid Methods for Solving Sparse Matrices

    1. Front Matter
      Pages 133-133
    2. Marc Baboulin, Xiaoye S. Li, François-Henry Rouet
      Pages 135-144
    3. Joshua Dennis Booth, Padma Raghavan
      Pages 145-155
    4. Patrick R. Amestoy, Jean-Yves L’Excellent, François-Henry Rouet, Wissam M. Sid-Lakhdar
      Pages 156-169
  6. Performance Tuning

    1. Front Matter
      Pages 171-171

About these proceedings

Introduction

This book constitutes the thoroughly refereed post-conference proceedings of the 11th International Conference on High Performance Computing for Computational Science, VECPAR 2014, held in Eugene, OR, USA, in June/July 2014. 

The 25 papers presented were carefully reviewed and selected of numerous submissions. The papers are organized in topical sections on algorithms for GPU and manycores, large-scale applications, numerical algorithms, direct/hybrid methods for solving sparse matrices, performance tuning. The volume also contains the papers presented at the 9th International Workshop on Automatic Performance Tuning.

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

  • Michel Daydé
    • 1
  • Osni Marques
    • 2
  • Kengo Nakajima
    • 3
  1. 1.IRIT, ENSEEIHTToulouse CedexFrance
  2. 2.Lawrence Berkeley National LaboratoryBerkeleyUSA
  3. 3.Information Technology CenterThe University of TokyoTokyoJapan

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-17353-5
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-17352-8
  • Online ISBN 978-3-319-17353-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book
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