首页> 外文期刊>IEEE transactions on visualization and computer graphics >P5: Portable Progressive Parallel Processing Pipelines for Interactive Data Analysis and Visualization
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P5: Portable Progressive Parallel Processing Pipelines for Interactive Data Analysis and Visualization

机译:P5:用于交互式数据分析和可视化的便携式渐进并行处理管道

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摘要

We present P5, a web-based visualization toolkit that combines declarative visualization grammar and GPU computing for progressive data analysis and visualization. To interactively analyze and explore big data, progressive analytics and visualization methods have recently emerged. Progressive visualizations of incrementally refining results have the advantages of allowing users to steer the analysis process and make early decisions. P5 leverages declarative grammar for specifying visualization designs and exploits GPU computing to accelerate progressive data processing and rendering. The declarative specifications can be modified during progressive processing to create different visualizations for analyzing the intermediate results. To enable user interactions for progressive data analysis, P5 utilizes the GPU to automatically aggregate and index data based on declarative interaction specifications to facilitate effective interactive visualization. We demonstrate the effectiveness and usefulness of P5 through a variety of example applications and several performance benchmark tests.
机译:我们介绍P5,这是一个基于Web的可视化工具包,它结合了声明式可视化语法和GPU计算,以进行渐进式数据分析和可视化。为了交互式地分析和探索大数据,最近出现了渐进式分析和可视化方法。逐步细化结果的渐进式可视化具有使用户能够控制分析过程并做出早期决策的优势。 P5利用声明式语法指定可视化设计,并利用GPU计算来加速渐进式数据处理和渲染。声明性规范可以在渐进处理期间进行修改,以创建用于分析中间结果的不同可视化效果。为了实现用户交互以进行渐进式数据分析,P5利用GPU根据声明性交互规范自动聚合和索引数据,以促进有效的交互可视化。我们通过各种示例应用程序和一些性能基准测试来证明P5的有效性和实用性。

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