Performance Analysis of Large Scale Parallel Applications
Performance Analysis of Large Scale Parallel Applications
复制标题
大规模并行应用的性能分析
DOI：
10.1007/978-1-4615-4123-3_7
复制
发表时间：
1996
期刊：
影响因子：
--
通讯作者：
O. Hansen
中科院分区：
文献类型：
--
作者：
O. Hansen
本节介绍一种用于分析大规模并行计算系统上的程序性能的方法和工具。该工具在其实施方面以及在其呈现性能数据的方式方面是可扩展的。性能数据的可伸缩表示的一个主要特性是通过指定行为属性将测量集中在程序执行中的兴趣点上的能力。行为属性作为其他测量结果的阈值给出。因此，可以在不同测量结果之间建立直接联系，使用户能够将全局系统行为与单个程序部分的执行联系起来。关于实施，它示出了如何分布式测量评估和在线操作模式，使该工具能够处理大规模并行计算平台的工具的问题。
This section introduces a method and a tool for analyzing program performance on massively parallel computing systems. The tool is scalable with respect to its implementation and in the way it presents performance data. A major feature contributing to the scalable representation of performance data is the ability to focus measurements on points of interest in the program execution by specifying behavioral attributes. Behavioral attributes are given as thresholds to the results of other measurements. Thus a direct link between results of different measurements can be made which enables the user to link global system behavior to the execution of indiviqual program parts. With regard to the implementation, it is shown how the distributed measurement evaluation and the on-line mode of operation enable the tool to handle the problems of tools for massively parallel computing platforms.