用于多实验性能分析的原型可视化工具

R. Araiza, J. Nava, A. Taylor, P. Teller, D. Cronk, S. Moore
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引用次数: 0

摘要

对现代的、并行化的应用程序(例如科学建模)的分析是国防部(DoD)计算社区中的许多人感兴趣的问题。希望深入了解这些大型程序性能的人员包括应用程序用户、应用程序程序员/开发人员、投资组合和中心经理,以及其他人员。所需的分析需要检查从各种性能分析来源获得的大型数据集,包括但不限于硬件计数器、软件事件计数器、通信事件计数器和插入到程序中的不相关的仪器代码。德克萨斯大学埃尔帕索分校(UTEP)的PCAT(性能分析团队)开发了一套工具,包括性能数据库访问工具和四种不同的可视化方法,以帮助不同的国防部用户分析与串行,特别是并行程序相关的某些性能问题。这些工具是用Java编写的,并提供与性能数据库相关的性能指标的不同方面的多个视图。对两种不同代码的初步分析导致PCAT用户仅通过检查性能指标就可以识别性能下降的可能来源,而无需访问源代码
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prototype Visualization Tools For Multi-Experiment Performance Analysis
The analysis of modern, parallelized applications, such as scientific modeling, is of interest to a variety of people within the computing community of the Department of Defense (DoD). Persons desiring insight into the performance of these large programs include application users, application programmers/developers, portfolio and center managers, and others. The analysis needed requires the examination of large data sets obtained from various performance analysis sources including, but not limited to, hardware counters, software event counters, communications event counters, and unrelated instrumentation code inserted into programs. The PCAT (Performance Analysis Team) at the University of Texas-El Paso (UTEP) has developed a suite of tools consisting of a performance database access tool and four different visualization methods to aid diverse DoD users in analyzing certain performance issues associated with serial and, especially, parallel programs. The tools are written in Java and provide multiple views of different aspects of performance metrics associated with a performance database. Preliminary analysis of two different codes resulted in PCAT users identifying possible sources of performance degradation solely from examination of performance metrics, without access to the source code
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