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Parallel Performance Visualization

并行性能可视化

基本信息

批准号：
9213500
负责人：
Allen Malony
金额：
$ 19.92万
依托单位：
University of Oregon Eugene
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
1993
资助国家：
美国
起止时间：
1993-01-01 至 1996-06-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=9213500&HistoricalAwards=false
关键词：
Parallel Performance Visualization

项目摘要

The Parallel Performance Visualization (PARASEER) project applies the metaphor of "visual abstraction," proven successful in scientific visualization, to the problem of visualizing parallel performance information. A formal methodology is developed for mapping parallel performance data to visual displays based on a theory of "performance behavior abstraction" and "performance views." The methodology is implemented as a high-level, representational framework that can be used to describe how, independent of graphics technology, conceptual performance characteristics embodied in the performance abstractions are rendered in the performance views. The ultimate goal of the PARASEER project is to explore new parallel performance visualization techniques and to evaluate their effectiveness in real parallel performance problem domains. In addition to the formal framework for performance visualization design, PARASEER will take two approaches to developing performance display graphics. The first builds interfaces to existing data visualization software to provide a flexible environment for performance display prototyping. This approach leverages the tools' capabilities for handling large data sets, their support for distributed processing, and their extensible visualization to graphical user interface software to provide more programmatic performance visualization support.

并行性能可视化(PARASEER)项目将“视觉抽象”的比喻应用于可视化并行性能信息的问题，这种比喻在科学可视化中被证明是成功的。基于“性能行为抽象”和“性能视图”理论，开发了一种将并行性能数据映射到可视化显示的形式化方法。该方法被实现为高级表示框架，其可用于描述如何独立于图形技术地在性能视图中呈现在性能抽象中体现的概念性性能特征。PARASEER项目的最终目标是探索新的并行性能可视化技术，并评估它们在实际并行性能问题领域的有效性。除了性能可视化设计的正式框架外，PARASEER还将采取两种方法来开发性能显示图形。第一种是建立与现有数据可视化软件的接口，为性能显示原型提供灵活的环境。该方法利用这些工具处理大型数据集的能力、它们对分布式处理的支持以及它们对图形用户界面软件的可扩展可视化，以提供更程序化的性能可视化支持。