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Tools for High Performance Computing 2013

Proceedings of the 7th International Workshop on Parallel Tools for High Performance Computing, September 2013, ZIH, Dresden, Germany

  • Conference proceedings
  • © 2014

Overview

Editors:
  1. Andreas Knüpfer

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

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  2. José Gracia

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

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  3. Wolfgang E. Nagel

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

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  4. Michael M. Resch

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

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Table of contents (9 papers)

  1. Front Matter

    Pages i-viii
    Download chapter PDF

  2. Performance Analytics: Understanding Parallel Applications Using Cluster and Sequence Analysis

    • Juan Gonzalez, Judit Gimenez, Jesus Labarta
    Pages 1-17

  3. Tools for Simulation and Benchmark Generation at Exascale

    • Mahesh Lagadapati, Frank Mueller, Christian Engelmann
    Pages 19-24

  4. Suitability of Performance Tools for OpenMP Task-Parallel Programs

    • Dirk Schmidl, Christian Terboven, Dieter an Mey, Matthias S. Müller
    Pages 25-37

  5. Recent Advances in Periscope for Performance Analysis and Tuning

    • Yury Oleynik, Robert Mijaković, Isaías A. Comprés Ureña, Michael Firbach, Michael Gerndt
    Pages 39-51

  6. MuMMI: Multiple Metrics Modeling Infrastructure

    • Xingfu Wu, Valerie Taylor, Charles Lively, Hung-Ching Chang, Bo Li, Kirk Cameron et al.
    Pages 53-65

  7. Cudagrind: Memory-Usage Checking for CUDA

    • Thomas M. Baumann, José Gracia
    Pages 67-78

  8. Node Performance and Energy Analysis with the Sniper Multi-core Simulator

    • Trevor E. Carlson, Wim Heirman, Kenzo Van Craeynest, Lieven Eeckhout
    Pages 79-89

  9. A Comparison of Trace Compression Methods for Massively Parallel Applications in Context of the SIOX Project

    • Alvaro Aguilera, Holger Mickler, Julian Kunkel, Michaela Zimmer, Marc Wiedemann, Ralph Müller-Pfefferkorn
    Pages 91-105

  10. PAMDA: Performance Assessment Using MAQAO Toolset and Differential Analysis

    • Zakaria Bendifallah, William Jalby, José Noudohouenou, Emmanuel Oseret, Vincent Palomares, Andres Charif Rubial
    Pages 107-127
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Keywords

About this book

Current advances in High Performance Computing (HPC) increasingly impact efficient software development workflows. Programmers for HPC applications need to consider trends such as increased core counts, multiple levels of parallelism, reduced memory per core, and I/O system challenges in order to derive well performing and highly scalable codes. At the same time, the increasing complexity adds further sources of program defects. While novel programming paradigms and advanced system libraries provide solutions for some of these challenges, appropriate supporting tools are indispensable. Such tools aid application developers in debugging, performance analysis, or code optimization and therefore make a major contribution to the development of robust and efficient parallel software. This book introduces a selection of the tools presented and discussed at the 7th International Parallel Tools Workshop, held in Dresden, Germany, September 3-4, 2013.

Editors and Affiliations

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

    Andreas Knüpfer

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

    José Gracia, Michael M. Resch

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

    Wolfgang E. Nagel

Bibliographic Information

  • Book Title: Tools for High Performance Computing 2013

  • Book Subtitle: Proceedings of the 7th International Workshop on Parallel Tools for High Performance Computing, September 2013, ZIH, Dresden, Germany

  • Editors: Andreas Knüpfer, José Gracia, Wolfgang E. Nagel, Michael M. Resch

  • DOI: https://doi.org/10.1007/978-3-319-08144-1

  • Publisher: Springer Cham

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

  • Copyright Information: Springer International Publishing Switzerland 2014

  • Hardcover ISBN: 978-3-319-08143-4Published: 24 October 2014

  • Softcover ISBN: 978-3-319-38449-8Published: 22 September 2016

  • eBook ISBN: 978-3-319-08144-1Published: 06 October 2014

  • Edition Number: 1

  • Number of Pages: VIII, 127

  • Number of Illustrations: 14 b/w illustrations, 53 illustrations in colour

  • Topics: Computational Science and Engineering, System Performance and Evaluation, Computer Applications

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