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High Performance Computing

34th International Conference, ISC High Performance 2019, Frankfurt/Main, Germany, June 16–20, 2019, Proceedings

  • Michèle Weiland
  • Guido Juckeland
  • Carsten Trinitis
  • Ponnuswamy Sadayappan
Conference proceedings ISC High Performance 2019

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11501)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 11501)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Architectures, Networks and Infrastructure

    1. Front Matter
      Pages 1-1
    2. Misbah Mubarak, Neil McGlohon, Malek Musleh, Eric Borch, Robert B. Ross, Ram Huggahalli et al.
      Pages 3-20
  3. Artificial Intelligence and Machine Learning

    1. Front Matter
      Pages 21-21
    2. Derya Cavdar, Valeriu Codreanu, Can Karakus, John A. Lockman III, Damian Podareanu, Vikram Saletore et al.
      Pages 23-39
    3. Shweta Salaria, Aleksandr Drozd, Artur Podobas, Satoshi Matsuoka
      Pages 40-58
  4. Data, Storage and Visualization

    1. Front Matter
      Pages 59-59
    2. Bin Dong, Kesheng Wu, Suren Byna, Houjun Tang
      Pages 61-80
    3. James Kress, Matthew Larsen, Jong Choi, Mark Kim, Matthew Wolf, Norbert Podhorszki et al.
      Pages 99-117
  5. Emerging Technologies

    1. Front Matter
      Pages 119-119
    2. Jose P. Pinilla, Steven J. E. Wilton
      Pages 121-139
  6. HPC Algorithms

    1. Front Matter
      Pages 141-141
    2. Mohammad Mahdi Javanmard, Pramod Ganapathi, Rathish Das, Zafar Ahmad, Stephen Tschudi, Rezaul Chowdhury
      Pages 143-164
  7. HPC Applications

    1. Front Matter
      Pages 165-165
    2. Alexander Breuer, Yifeng Cui, Alexander Heinecke
      Pages 167-185
  8. Performance Modeling and Measurement

    1. Front Matter
      Pages 207-207
    2. Ignacio Laguna, Paul C. Wood, Ranvijay Singh, Saurabh Bagchi
      Pages 227-246
    3. Johannes Doerfert, Brian Homerding, Hal Finkel
      Pages 247-268
  9. Programming Models and Systems Software

    1. Front Matter
      Pages 269-269
    2. Arash Rezaei, Harsh Khetawat, Onkar Patil, Frank Mueller, Paul Hargrove, Eric Roman
      Pages 271-290
    3. Sara S. Hamouda, Josh Milthorpe
      Pages 291-311
    4. Joseph Schuchart, José Gracia
      Pages 312-329
    5. Ryan E. Grant, Matthew G. F. Dosanjh, Michael J. Levenhagen, Ron Brightwell, Anthony Skjellum
      Pages 330-350
  10. Back Matter
    Pages 351-352

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 34th International Conference on High Performance Computing, ISC High Performance 2019, held in Frankfurt/Main, Germany, in June 2019.

The 17 revised full papers presented were carefully reviewed and selected from 70 submissions. The papers cover a broad range of topics such as next-generation high performance components; exascale systems; extreme-scale applications; HPC and advanced environmental engineering projects; parallel ray tracing - visualization at its best; blockchain technology and cryptocurrency; parallel processing in life science; quantum computers/computing; what's new with cloud computing for HPC; parallel programming models for extreme-scale computing; workflow management; machine learning and big data analytics; and deep learning and HPC.


Keywords

artificial intelligence blind source separation cloud computing computer architecture computer networks computer systems electric network topology gpu hardware multi core network topology processors program compilers programming languages programming models semantics signal processing software engineering telecommunication traffic

Editors and affiliations

  1. 1.University of EdinburghEdinburghUK
  2. 2.Helmholtz-Zentrum Dresden-Rossendorf (HZDR)DresdenGermany
  3. 3.Technical University of MunichMunichGermany
  4. 4.Ohio State UniversityColumbusUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-20656-7
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-20655-0
  • Online ISBN 978-3-030-20656-7
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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