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P5: Portable Progressive Parallel Processing Pipelines for Interactive Data Analysis and Visualization.

Jianping Kelvin Li, Kwan-Liu Ma

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    Summary
    This summary is machine-generated.

    P5 is a web-based toolkit for progressive data analysis and visualization. It uses declarative grammar and GPU computing to accelerate big data exploration and enable interactive steering of analysis results.

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    Area of Science:

    • Computer Science
    • Data Visualization

    Background:

    • Progressive analytics and visualization methods are emerging for interactive big data exploration.
    • These methods allow users to steer analysis and make early decisions with incrementally refining results.

    Purpose of the Study:

    • Introduce P5, a web-based visualization toolkit.
    • Combine declarative visualization grammar and GPU computing for progressive data analysis.

    Main Methods:

    • P5 uses declarative grammar for specifying visualization designs.
    • It exploits GPU computing for accelerated progressive data processing and rendering.
    • GPU is used for automatic data aggregation and indexing based on interaction specifications.

    Main Results:

    • P5 enables modification of declarative specifications during progressive processing.
    • It facilitates interactive visualization by enabling user interactions for progressive data analysis.
    • Effectiveness and usefulness demonstrated through applications and benchmarks.

    Conclusions:

    • P5 provides an effective and useful toolkit for progressive data analysis and visualization.
    • The combination of declarative grammar and GPU computing accelerates big data exploration.
    • P5 supports interactive steering and early decision-making in data analysis.