Performance Measurement and Analysis Tools for Parallel and Distributed Programs

研究领域是并行和分布式程序的性能测量和分析的工具和方法。这项研究基于两个主要原则。第一个原则是应该向程序员提供有关其程序的最大信息。这些信息应该可以从所有抽象级别获得。为了防止程序员被不相关的细节淹没，必须对这些数据进行逻辑和直观的组织。第二个原则是，应该向程序员提供答案，而不是数字。性能工具应该能够引导程序员找到性能问题的位置，并根据源程序描述问题。目前的研究是自动引导程序员解决性能问题的技术。将探讨识别关键资源利用率、确定交互和调度影响以及检测程序时相行为的技术。调查人员将包括用户界面问题，将性能结果和测量规范与程序源代码联系起来。这些技术的结合将为程序员提供所需的信息，以便更容易地对他们的程序进行重大改进。

The area of research is in the tools and methods for performance measurement and analysis of parallel and distributed programs. The research is based on two main principles. The first principle is that programmers should be supplied with the maximum information about their program. This information should be available from all levels of abstraction. To prevent the programmer from being inundate with irrelevant details, there must a logical and intuitive organization to this data. The second principle is that programmers should be supplied with answers, not numbers. The performance tool should be able to guide the programmer to the location of the performance problem, and describe the problem in terms of the source program. The current research is in techniques for automatically guiding the programmer to performance problems. The techniques for identifying critical resource utilization, determining interaction and scheduling affects, and detecting program time phase behavior will be explored. The investigators will include user interface issues to relate performance results and measurement specification to the program source code. The combination of these techniques will provide programmers with information needed to more easily make significant improvements in their programs.