Parallel Performance Visualization

并行性能可视化

• 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

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 “视觉抽象”的比喻，在 科学可视化，可视化平行的问题 业绩信息。 一个正式的方法是开发 将并行性能数据映射到基于 绩效行为抽象论与绩效 意见.“该方法是作为一个高级别， 代表性的框架，可以用来描述如何， 独立于图形技术，概念性能 在性能抽象中体现的特性是 在性能视图中呈现。 的最终目标 PARASEER项目是为了探索新的并行性能 可视化技术，并评估其有效性 真实的并行性能问题域。 除了有 性能可视化设计的形式化框架 我将采取两种方法来开发性能显示器 graphics-遗漏广西快乐 第一种方法构建与现有数据的接口 可视化软件提供灵活的环境， 性能显示原型。 此方法利用了 工具处理大型数据集的能力， 分布式处理及其可扩展的可视化， 图形用户界面软件，以提供更多的编程 性能可视化支持。