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Tools for High Performance Computing 2018 / 2019

Proceedings of the 12th and of the 13th International Workshop on Parallel Tools for High Performance Computing, Stuttgart, Germany, September 2018, and Dresden, Germany, September 2019

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Hartmut Mix

    1. Zentrum für Informationsdienste und Hochleistungsrechnen (ZIH), Technische Universität Dresden, Dresden, Germany

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  2. Christoph Niethammer

    1. Höchstleistungsrechenzentrum (HLRS), Universität Stuttgart, Stuttgart, Germany

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  3. Huan Zhou

    1. Höchstleistungsrechenzentrum (HLRS), Universität Stuttgart, Stuttgart, Germany

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  4. Wolfgang E. Nagel

    1. Zentrum für Informationsdienste und Hochleistungsrechnen (ZIH), Technische Universität Dresden, Dresden, Germany

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  5. Michael M. Resch

    1. Höchstleistungsrechenzentrum (HLRS), Universität Stuttgart, Stuttgart, Germany

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Table of contents (14 papers)

  1. Front Matter

    Pages i-viii
    Download chapter PDF

  2. 2018

    1. Front Matter

      Pages 1-1
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    2. Detecting Disaster Before It Strikes: On the Challenges of Automated Building and Testing in HPC Environments

      • Christian Feld, Markus Geimer, Marc-André Hermanns, Pavel Saviankou, Anke Visser, Bernd Mohr
      Pages 3-26

    3. Saving Energy Using the READEX Methodology

      • Madhura Kumaraswamy, Anamika Chowdhury, Andreas Gocht, Jan Zapletal, Kai Diethelm, Lubomir Riha et al.
      Pages 27-53

    4. The MPI Tool Interfaces: Past, Present, and Future—Capabilities and Prospects

      • Martin Schulz, Marc-André Hermanns, Michael Knobloch, Kathryn Mohror, Nathan T. Hjelm, Bengisu Elis et al.
      Pages 55-83

    5. A Tool for Runtime Analysis of Performance and Energy Usage in NUMA Systems

      • M. L. Becoña, O. G. Lorenzo, T. F. Pena, J. C. Cabaleiro, F. F. Rivera, J. A. Lorenzo
      Pages 85-99

  3. 2019

    1. Front Matter

      Pages 101-101
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    2. Usage Experiences of Performance Tools for Modern C\(++\) Code Analysis and Optimization

      • Huan Zhou, Christoph Niethammer, Martin Herrerias Azcue
      Pages 103-121

    3. Performance Analysis of Complex Engineering Frameworks

      • Michael Wagner, Jens Jägersküpper, Daniel Molka, Thomas Gerhold
      Pages 123-138

    4. System-Wide Low-Frequency Sampling for Large HPC Systems

      • Josef Weidendorfer, Carla Guillen, Michael Ott
      Pages 139-150

    5. Exploring Space-Time Trade-Off in Backtraces

      • Jean-Baptiste Besnard, Julien Adam, Allen D. Malony, Sameer Shende, Julien Jaeger, Patrick Carribault et al.
      Pages 151-168

    6. Enabling Performance Analysis of Kokkos Applications with Score-P

      • Robert Dietrich, Frank Winkler, Ronny Tschüter, Matthias Weber
      Pages 169-182

    7. Regional Profiling for Efficient Performance Optimization

      • Florent Lebeau, Patrick Wohlschlegel, Olly Perks
      Pages 183-193

    8. Effortless Monitoring of Arithmetic Intensity with PAPI’s Counter Analysis Toolkit

      • Daniel Barry, Anthony Danalis, Heike Jagode
      Pages 195-218

    9. ONE View: A Fully Automatic Method for Aggregating Key Performance Metrics and Providing Users with a Synthetic View of HPC Applications

      • William Jalby, Cédric Valensi, Mathieu Tribalat, Kevin Camus, Youenn Lebras, Emmanuel Oseret et al.
      Pages 219-235

    10. A Picture Is Worth a Thousand Numbers—Enhancing Cube’s Analysis Capabilities with Plugins

      • Michael Knobloch, Pavel Saviankou, Marc Schlütter, Anke Visser, Bernd Mohr
      Pages 237-259

    11. Advanced Python Performance Monitoring with Score-P

      • Andreas Gocht, Robert Schöne, Jan Frenzel
      Pages 261-270
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Keywords

About this book

This book presents the proceedings of the 12th International Parallel Tools Workshop, held in Stuttgart, Germany, during September 17-18, 2018, and of the 13th International Parallel Tools Workshop, held in Dresden, Germany, during September 2-3, 2019. The workshops are a forum to discuss the latest advances in parallel tools for high-performance computing. 

High-performance computing plays an increasingly important role for numerical simulation and modeling in academic and industrial research. At the same time, using large-scale parallel systems efficiently is becoming more difficult. A number of tools addressing parallel program development and analysis has emerged from the high-performance computing community over the last decade, and what may have started as a collection of a small helper scripts has now matured into production-grade frameworks. Powerful user interfaces and an extensive body of documentation together create a user-friendly environment for parallel tools.




Editors and Affiliations

  • Zentrum für Informationsdienste und Hochleistungsrechnen (ZIH), Technische Universität Dresden, Dresden, Germany

    Hartmut Mix, Wolfgang E. Nagel

  • Höchstleistungsrechenzentrum (HLRS), Universität Stuttgart, Stuttgart, Germany

    Christoph Niethammer, Huan Zhou, Michael M. Resch

Bibliographic Information

  • Book Title: Tools for High Performance Computing 2018 / 2019

  • Book Subtitle: Proceedings of the 12th and of the 13th International Workshop on Parallel Tools for High Performance Computing, Stuttgart, Germany, September 2018, and Dresden, Germany, September 2019

  • Editors: Hartmut Mix, Christoph Niethammer, Huan Zhou, Wolfgang E. Nagel, Michael M. Resch

  • DOI: https://doi.org/10.1007/978-3-030-66057-4

  • Publisher: Springer Cham

  • eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)

  • Copyright Information: Springer Nature Switzerland AG 2021

  • Hardcover ISBN: 978-3-030-66056-7Published: 23 May 2021

  • Softcover ISBN: 978-3-030-66059-8Published: 24 May 2022

  • eBook ISBN: 978-3-030-66057-4Published: 22 May 2021

  • Edition Number: 1

  • Number of Pages: VIII, 270

  • Number of Illustrations: 12 b/w illustrations, 106 illustrations in colour

  • Topics: Computational Science and Engineering, Performance and Reliability, Programming Techniques

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