Proceedings of the 28th Annual Hawaii International Conference on System Sciences- 1995 A Method for Optimizing Large Scale Parallel Applications
Proceedings of the 28th Annual Hawaii International Conference on System Sciences- 1995 A Method for Optimizing Large Scale Parallel Applications
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DOI：
10.1109/hicss.1995.375461
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发表时间：
1995-01
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中科院分区：
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介绍了一种在大规模并行计算系统上优化程序的方法和工具。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，可以在不同测量的结果之间建立直接联系，这使得用户能够将全局系统行为与各个程序部分的执行联系起来。关于实现，它显示了分布式测量评估和在线操作模式如何使该工具能够处理大规模并行计算平台的问题。
Introduces a method and a tool for optimizing programs 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 the results of different measurements can be made, which enables the user to link global system behavior to the execution of individual program parts. With regard to the implementation, it is shown how the distributed measurement evaluation and the online mode of operation enable the tool to handle the problems of massively parallel computing platforms.>