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Programming and Performance Visualization Tools

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Cover of 'Programming and Performance Visualization Tools'

Table of Contents

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    Book Overview
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    Chapter 1 Enhancing PAPI with Low-Overhead rdpmc Reads
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    Chapter 2 Generic Library Interception for Improved Performance Measurement and Insight
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    Chapter 3 Improved Accuracy for Automated Communication Pattern Characterization Using Communication Graphs and Aggressive Search Space Pruning
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    Chapter 4 Moya—A JIT Compiler for HPC
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    Chapter 5 Polyhedral Optimization of TensorFlow Computation Graphs
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    Chapter 6 CAASCADE: A System for Static Analysis of HPC Software Application Portfolios
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    Chapter 7 Visual Comparison of Trace Files in Vampir
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    Chapter 8 Understanding the Scalability of Molecular Simulation Using Empirical Performance Modeling
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    Chapter 9 Advanced Event-Sampling Support for PAPI
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    Chapter 10 ParLoT : Efficient Whole-Program Call Tracing for HPC Applications
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    Chapter 11 Gotcha: An Function-Wrapping Interface for HPC Tools
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    Chapter 12 Projecting Performance Data over Simulation Geometry Using SOSflow and ALPINE
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    Chapter 13 Visualizing, Measuring, and Tuning Adaptive MPI Parameters
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    Chapter 14 Visual Analytics Challenges in Analyzing Calling Context Trees
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    Chapter 15 PaScal Viewer: A Tool for the Visualization of Parallel Scalability Trends
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    Chapter 16 Using Deep Learning for Automated Communication Pattern Characterization: Little Steps and Big Challenges
  18. Altmetric Badge
    Chapter 17 Visualizing Multidimensional Health Status of Data Centers
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Mentioned by

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1 patent

Citations

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2 Mendeley
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Title
Programming and Performance Visualization Tools
Published by
Springer International Publishing, June 2019
DOI 10.1007/978-3-030-17872-7
ISBNs
978-3-03-017871-0, 978-3-03-017872-7
Editors

Bhatele, Abhinav, Boehme, David, Levine, Joshua A., Malony, Allen D., Schulz, Martin

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 1 50%
Student > Master 1 50%
Readers by discipline Count As %
Mathematics 1 50%
Computer Science 1 50%