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Related Concept Videos

Multiple Bar Graph01:07

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Related Experiment Video

Updated: Oct 12, 2025

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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Scalable Comparative Visualization of Ensembles of Call Graphs.

Suraj P Kesavan, Harsh Bhatia, Abhinav Bhatele

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    |November 19, 2021
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    This summary is machine-generated.

    Ensemble CallFlow visualizes and analyzes multiple call graphs to help developers understand performance bottlenecks in large-scale parallel codes. It uses ensemble-Sankey visualizations to show performance variability and structural differences, aiding optimization efforts.

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    Area of Science:

    • Computer Science
    • High-Performance Computing
    • Software Engineering

    Background:

    • Optimizing large-scale parallel codes requires understanding performance across diverse execution parameters.
    • Hierarchical performance profiles (call graphs) are used but exploring multiple, structurally different call graphs is challenging.
    • Performance metrics in call graphs exhibit significant variability, complicating analysis.

    Purpose of the Study:

    • To present Ensemble CallFlow, a system designed to facilitate the exploration of ensembles of call graphs.
    • To introduce novel visualization and analysis techniques for comparing and understanding variations in performance profiles.
    • To aid developers in detecting and diagnosing performance bottlenecks in large-scale parallel applications.

    Main Methods:

    • Developed Ensemble CallFlow with new visualizations, analysis tools, and interactive features.
    • Introduced ensemble-Sankey, a hybrid visualization combining Sankey diagrams with box plots.
    • Implemented linked views for interactive exploration of structural and performance differences across call graphs.

    Main Results:

    • Ensemble CallFlow enables intuitive exploration of call graph ensembles.
    • The ensemble-Sankey visualization effectively displays both structural flow and performance variability.
    • Case studies demonstrate the system's ability to identify similar and distinct call graphs and aid performance analysis.

    Conclusions:

    • Ensemble CallFlow provides an effective solution for exploring and analyzing ensembles of call graphs.
    • The novel visualization and interactive features enhance the understanding of performance bottlenecks in parallel codes.
    • The system is valuable for developers seeking to optimize large-scale parallel application performance.