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Programming and Performance Visualization Tools

International Workshops, ESPT 2017 and VPA 2017, Denver, CO, USA, November 12 and 17, 2017, and ESPT 2018 and VPA 2018, Dallas, TX, USA, November 16 and 11, 2018, Revised Selected Papers

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Abhinav Bhatele

    1. Lawrence Livermore National Laboratory, Livermore, USA

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  2. David Boehme

    1. Lawrence Livermore National Laboratory, Livermore, USA

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  3. Joshua A. Levine

    1. The University of Arizona, Tucson, USA

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  4. Allen D. Malony

    1. University of Oregon, Eugene, USA

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  5. Martin Schulz

    1. Technical University of Munich, Munich, Germany

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11027)

Part of the book sub series: Programming and Software Engineering (LNPSE)

Included in the following conference series:

Conference proceedings info: ESPT 2017, ESPT 2018, VPA 2017. VPA 2018.

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Table of contents (17 papers)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. ESPT 2017

    1. Front Matter

      Pages 1-1
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    2. Enhancing PAPI with Low-Overhead rdpmc Reads

      • Yan Liu, Vincent M. Weaver
      Pages 3-20

    3. Generic Library Interception for Improved Performance Measurement and Insight

      • Ronny Brendel, Bert Wesarg, Ronny Tschüter, Matthias Weber, Thomas Ilsche, Sebastian Oeste
      Pages 21-37

    4. Improved Accuracy for Automated Communication Pattern Characterization Using Communication Graphs and Aggressive Search Space Pruning

      • Philip C. Roth
      Pages 38-55

    5. Moya—A JIT Compiler for HPC

      • Tarun Prabhu, William Gropp
      Pages 56-73

    6. Polyhedral Optimization of TensorFlow Computation Graphs

      • Benoît Pradelle, Benoît Meister, Muthu Baskaran, Jonathan Springer, Richard Lethin
      Pages 74-89

    7. CAASCADE: A System for Static Analysis of HPC Software Application Portfolios

      • M. Graham Lopez, Oscar Hernandez, Reuben D. Budiardja, Jack C. Wells
      Pages 90-104

    8. Visual Comparison of Trace Files in Vampir

      • Matthias Weber, Ronny Brendel, Michael Wagner, Robert Dietrich, Ronny Tschüter, Holger Brunst
      Pages 105-121

  3. ESPT 2018

    1. Front Matter

      Pages 123-123
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    2. Understanding the Scalability of Molecular Simulation Using Empirical Performance Modeling

      • Sergei Shudler, Jadran Vrabec, Felix Wolf
      Pages 125-143

    3. Advanced Event-Sampling Support for PAPI

      • Forrest Smith, Vincent M. Weaver
      Pages 144-161

    4. ParLoT: Efficient Whole-Program Call Tracing for HPC Applications

      • Saeed Taheri, Sindhu Devale, Ganesh Gopalakrishnan, Martin Burtscher
      Pages 162-184

    5. Gotcha: An Function-Wrapping Interface for HPC Tools

      • David Poliakoff, Matt LeGendre
      Pages 185-197

  4. VPA 2017

    1. Front Matter

      Pages 199-199
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    2. Projecting Performance Data over Simulation Geometry Using SOSflow and ALPINE

      • Chad Wood, Matthew Larsen, Alfredo Gimenez, Kevin Huck, Cyrus Harrison, Todd Gamblin et al.
      Pages 201-218

    3. Visualizing, Measuring, and Tuning Adaptive MPI Parameters

      • Matthias Diener, Sam White, Laxmikant V. Kale
      Pages 219-230

  5. VPA 2018

    1. Front Matter

      Pages 231-231
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    2. Visual Analytics Challenges in Analyzing Calling Context Trees

      • Alexandre Bergel, Abhinav Bhatele, David Boehme, Patrick Gralka, Kevin Griffin, Marc-André Hermanns et al.
      Pages 233-249

    3. PaScal Viewer: A Tool for the Visualization of Parallel Scalability Trends

      • Anderson B. N. da Silva, Daniel A. M. Cunha, Vitor R. G. Silva, Alex F. de A. Furtunato, Samuel Xavier-de-Souza
      Pages 250-264
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  1. Programming and Performance Visualization Tools

Keywords

About this book

This book contains the revised selected papers of 4 workshops held in conjunction with the International Conference on High Performance Computing, Networking, Storage and Analysis (SC) in November 2017 in Denver, CO, USA,  and in November 2018 in Dallas, TX, USA: the 6th and 7th International Workshop on Extreme-Scale Programming Tools, ESPT 2017 and ESPT 2018, and the 4th and 5th International Workshop on Visual Performance Analysis, VPA 2017 and VPA 2018.

The 11 full papers of ESPT 2017 and ESPT 2018 and the 6 full papers of VPA 2017 and VPA 2018 were carefully reviewed and selected for inclusion in this book. The papers discuss the requirements for exascale-enabled tools as well as new approaches of applying visualization and visual analytic techniques to large-scale applications. Topics of interest include: programming tools; methodologies for performance engineering; tool technologies for extreme-scale challenges (e.g., scalability, resilience, power); tool support for accelerated architectures and large-scale multi-cores; tool infrastructures and environments; evolving/future application requirements for programming tools and technologies; application developer experiences with programming and performance tools; scalable displays of performance data; case studies demonstrating the use of performance visualization in practice; data models to enable scalable visualization; graph representation of unstructured performance data; presentation of high-dimensional data; visual correlations between multiple data sources; human-computer interfaces for exploring performance data; and multi-scale representations of performance data for visual exploration.

 



Editors and Affiliations

  • Lawrence Livermore National Laboratory, Livermore, USA

    Abhinav Bhatele, David Boehme

  • The University of Arizona, Tucson, USA

    Joshua A. Levine

  • University of Oregon, Eugene, USA

    Allen D. Malony

  • Technical University of Munich, Munich, Germany

    Martin Schulz

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