High Performance Computing in Science and Engineering

Third International Conference, HPCSE 2017, Karolinka, Czech Republic, May 22–25, 2017, Revised Selected Papers

  • Tomáš Kozubek
  • Martin Čermák
  • Petr Tichý
  • Radim Blaheta
  • Jakub Šístek
  • Dalibor Lukáš
  • Jiří Jaroš
Conference proceedings HPCSE 2017

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11087)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 11087)

Table of contents

  1. Front Matter
    Pages I-X
  2. Simplice Donfack, Patrick Sanan, Olaf Schenk, Bram Reps, Wim Vanroose
    Pages 1-18
  3. Shashanka Ubaru, Yousef Saad
    Pages 19-33
  4. Zdeněk Dostál, Gerardo Toraldo, Marco Viola, Oldřich Vlach
    Pages 47-58
  5. Radim Blaheta, Tomáš Luber, Jakub Kružík
    Pages 59-72
  6. Tomáš Gergelits, Iveta Hnětynková, Marie Kubínová
    Pages 73-87
  7. Milan Jaros, Tomas Karasek, Petr Strakos, Alena Vasatova
    Pages 88-100
  8. Milan Jaros, Petr Strakos, Tomas Karasek
    Pages 101-114
  9. Jakub Kružík, Marek Pecha, Václav Hapla, David Horák, Martin Čermák
    Pages 115-129
  10. Ondřej Meca, Lubomír Říha, Alexandros Markopoulos, Tomáš Brzobohatý, Tomáš Kozubek
    Pages 130-143
  11. Ondrej Vysocky, Martin Beseda, Lubomír Říha, Jan Zapletal, Michael Lysaght, Venkatesh Kannan
    Pages 144-159
  12. Ctirad Matonoha, Štěpán Papáček, Stefan Kindermann
    Pages 160-173
  13. Štěpán Papáček, Ctirad Matonoha, Karel Petera
    Pages 174-187
  14. Back Matter
    Pages 217-217

About these proceedings


This book constitutes the thoroughly refereed post-conference proceedings of the Third International Conference on High Performance Computing in Science and Engineering, HPCSE 2017, held in Karolinka, Czech Republic, in May 2017.

The 15 papers presented in this volume were carefully reviewed and selected from 20 submissions. The conference provides an international forum for exchanging ideas among researchers involved in scientific and parallel computing, including theory and applications, as well as applied and computational mathematics. The focus of HPCSE 2017 was on models, algorithms, and software tools which facilitate efficient and convenient utilization of modern parallel and distributed computing architectures, as well as on large-scale applications.


applied computing artificial intelligence computer architecture computer graphics computing methodologies data mining eigenvalues estimation finite element method high-performance computing HPC machine learning mathematical optimization mathematics of computing matrix algebra modeling numerical experiments numerical methods parallel implementation simulation

Editors and affiliations

  1. 1.VSB - Technical University of OstravaOstrava-PorubaCzech Republic
  2. 2.VSB - Technical University of OstravaOstrava-PorubaCzech Republic
  3. 3.Charles University in PraguePragueCzech Republic
  4. 4.Institute of Geonics of the CASOstrava-PorubaCzech Republic
  5. 5.University of ManchesterManchesterUnited Kingdom
  6. 6.VSB - Technical University of OstravaOstrava-PorubaCzech Republic
  7. 7.Brno University of TechnologyBrnoCzech Republic

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-319-97135-3
  • Online ISBN 978-3-319-97136-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site