CAREER: Online Measurement, Evaluation, and Adaptation of Parallel Applications

职业：并行应用的在线测量、评估和适应

• 批准号: 9703212
• 负责人: Jeff Hollingsworth
• 金额: $ 24.28万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-03-01 至 2002-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9703212&HistoricalAwards=false
• 关键词: CAREER; Online; Measurement; Evaluation; Adaptation

The goal of this research program is to fundamentally change the activity of tuning parallel and distributed applications, from a manual, user intensive process, to an automatic one. The project will investigate four specific steps towards this goal. First, it will seek ways to not only identify the place where a bottleneck occurs, but also the cause of the bottleneck. Second, it will develop techniques to permit programmers to evaluate different tuning alternatives by predicting the impact specific tuning options will have on a program's execution time. Third, it will expand parallel measurement tools beyond computation and communication to include parallel I/O systems. Fourth, it will investigate ways to close the performance measurement and tuning loop to create self tuning applications that can automatically adapt to their computational environment.

该研究计划的目的是从根本上更改平行和分布式应用程序的活动，从手动，用户密集型过程到自动。 该项目将调查达到这一目标的四个具体步骤。 首先，它将寻求方法不仅要确定发生瓶颈的地方，还可以识别瓶颈的原因。 其次，它将开发技术，以允许程序员通过预测特定的调整选项对程序执行时间的影响来评估不同的调整替代方案。 第三，它将扩展并行测量工具超出计算和通信，以包括并行I​​/O系统。 第四，它将调查关闭性能测量和调整循环的方法，以创建可以自动适应其计算环境的自调应用程序。