Eigenvalue Problems: Algorithms, Software and Applications in Petascale Computing

EPASA 2015, Tsukuba, Japan, September 2015

  • Tetsuya Sakurai
  • Shao-Liang Zhang
  • Toshiyuki Imamura
  • Yusaku Yamamoto
  • Yoshinobu Kuramashi
  • Takeo Hoshi
Conference proceedings EPASA 2015

Part of the Lecture Notes in Computational Science and Engineering book series (LNCSE, volume 117)

Table of contents

  1. Front Matter
    Pages i-x
  2. Akira Imakura, Yasunori Futamura, Tetsuya Sakurai
    Pages 1-18
  3. Yasuyuki Maeda, Tetsuya Sakurai, James Charles, Michael Povolotskyi, Gerhard Klimeck, Jose E. Roman
    Pages 19-30
  4. Hiroyuki Ishigami, Hidehiko Hasegawa, Kinji Kimura, Yoshimasa Nakamura
    Pages 31-50
  5. Martin Galgon, Lukas Krämer, Bruno Lang, Andreas Alvermann, Holger Fehske, Andreas Pieper et al.
    Pages 63-79
  6. Hiroya Suno, Yoshifumi Nakamura, Ken-Ichi Ishikawa, Yoshinobu Kuramashi, Yasunori Futamura, Akira Imakura et al.
    Pages 81-90
  7. Eugene Vecharynski, Chao Yang
    Pages 107-123
  8. Ryoya Ino, Kohei Asami, Emiko Ishiwata, Hidehiko Hasegawa
    Pages 125-141
  9. Hiroshi Takeuchi, Kensuke Aihara, Akiko Fukuda, Emiko Ishiwata
    Pages 143-155
  10. Akihiko Tobita, Akiko Fukuda, Emiko Ishiwata, Masashi Iwasaki, Yoshimasa Nakamura
    Pages 157-169
  11. Rio Yokota, Huda Ibeid, David Keyes
    Pages 267-286
  12. Zhaojun Bai, Ren-Cang Li
    Pages 287-304
  13. Back Matter
    Pages 305-313

About these proceedings

Introduction

This book provides state-of-the-art and interdisciplinary topics on solving matrix eigenvalue problems, particularly by using recent petascale and upcoming post-petascale supercomputers. It gathers selected topics presented at the International Workshops on Eigenvalue Problems: Algorithms; Software and Applications, in Petascale Computing (EPASA2014 and EPASA2015), which brought together leading researchers working on the numerical solution of matrix eigenvalue problems to discuss and exchange ideas – and in so doing helped to create a community for researchers in eigenvalue problems. The topics presented in the book, including novel numerical algorithms, high-performance implementation techniques, software developments and sample applications, will contribute to various fields that involve solving large-scale eigenvalue problems.

Keywords

matrix eigenvalue problems numerical linear algebra parallel computing high-performance computing Petascale computing

Editors and affiliations

  • Tetsuya Sakurai
    • 1
  • Shao-Liang Zhang
    • 2
  • Toshiyuki Imamura
    • 3
  • Yusaku Yamamoto
    • 4
  • Yoshinobu Kuramashi
    • 5
  • Takeo Hoshi
    • 6
  1. 1.Department of Computer ScienceUniversity of TsukubaTsukubaJapan
  2. 2.Department of Electrical Engineering and Computer ScienceNagoya UniversityNagoyaJapan
  3. 3.RIKEN Advanced Institute for Computational ScienceKobeJapan
  4. 4.Department of Communication Engineering and InformaticsUniversity of Electro-Communications, Graduate School of Informatics and EngineeringTokyoJapan
  5. 5.Department of Particle PhysicsUniversity of TsukubaTsukubaJapan
  6. 6.Department of Applied Mathematics and PhysicsTottori UniversityTottoriJapan

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-62426-6
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-319-62424-2
  • Online ISBN 978-3-319-62426-6
  • Series Print ISSN 1439-7358
  • Series Online ISSN 2197-7100
  • About this book
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