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Tools for High Performance Computing 2016

Proceedings of the 10th International Workshop on Parallel Tools for High Performance Computing, October 2016, Stuttgart, Germany

  • Conference proceedings
  • © 2017

Overview

Editors:
  1. Christoph Niethammer

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

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  2. José Gracia

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

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  3. Tobias Hilbrich

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

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  4. Andreas Knüpfer

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

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  5. Michael M. Resch

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

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  6. Wolfgang E. Nagel

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

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Table of contents (7 papers)

  1. Front Matter

    Pages i-ix
    Download chapter PDF

  2. Kerncraft: A Tool for Analytic Performance Modeling of Loop Kernels

    • Julian Hammer, Jan Eitzinger, Georg Hager, Gerhard Wellein
    Pages 1-22

  3. Defining and Searching Communication Patterns in Event Graphs Using the g-Eclipse Trace Viewer Plugin

    • Thomas Köckerbauer, Dieter Kranzlmüller
    Pages 23-40

  4. Monitoring Heterogeneous Applications with the OpenMP Tools Interface

    • Michael Wagner, Germán Llort, Antonio Filgueras, Daniel Jiménez-González, Harald Servat, Xavier Teruel et al.
    Pages 41-57

  5. Extending the Functionality of Score-P Through Plugins: Interfaces and Use Cases

    • Robert Schöne, Ronny Tschüter, Thomas Ilsche, Joseph Schuchart, Daniel Hackenberg, Wolfgang E. Nagel
    Pages 59-82

  6. Debugging Latent Synchronization Errors in MPI-3 One-Sided Communication

    • Roger Kowalewski, Karl Fürlinger
    Pages 83-96

  7. Trace-Based Detection of Lock Contention in MPI One-Sided Communication

    • Marc-André Hermanns, Markus Geimer, Bernd Mohr, Felix Wolf
    Pages 97-114

  8. Machine Learning-Driven Automatic Program Transformation to Increase Performance in Heterogeneous Architectures

    • Salvador Tamarit, Guillermo Vigueras, Manuel Carro, Julio Mariño
    Pages 115-140
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Keywords

About this book

This book presents the proceedings of the 10th International Parallel Tools Workshop, held October 4-5, 2016 in Stuttgart, Germany – a forum to discuss the latest advances in parallel tools.

High-performance computing plays an increasingly important role for numerical simulation and modelling 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 have emerged from the high-performance computing community over the last decade, and what may have started as collection of small helper script has now matured to production-grade frameworks. Powerful user interfaces and an extensive body of documentation allow easy usage by non-specialists.

Editors and Affiliations

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

    Christoph Niethammer, José Gracia, Michael M. Resch

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

    Tobias Hilbrich, Wolfgang E. Nagel

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

    Andreas Knüpfer

Bibliographic Information

  • Book Title: Tools for High Performance Computing 2016

  • Book Subtitle: Proceedings of the 10th International Workshop on Parallel Tools for High Performance Computing, October 2016, Stuttgart, Germany

  • Editors: Christoph Niethammer, José Gracia, Tobias Hilbrich, Andreas Knüpfer, Michael M. Resch, Wolfgang E. Nagel

  • DOI: https://doi.org/10.1007/978-3-319-56702-0

  • Publisher: Springer Cham

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

  • Copyright Information: Springer International Publishing AG 2017

  • Hardcover ISBN: 978-3-319-56701-3Published: 09 May 2017

  • Softcover ISBN: 978-3-319-85977-4Published: 25 July 2018

  • eBook ISBN: 978-3-319-56702-0Published: 06 May 2017

  • Edition Number: 1

  • Number of Pages: IX, 140

  • Number of Illustrations: 12 b/w illustrations, 48 illustrations in colour

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

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