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Performance prediction with skeletons

机译：骨架性能预测

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摘要

The performance skeleton of an application is a short running program whose performance in any scenario reflects the performance of the application it represents. Specifically, the execution time of the performance skeleton is a small fixed fraction of the execution time of the corresponding application in any execution environment. Such a skeleton can be employed to quickly estimate the performance of a large application under existing network and node sharing. This paper presents a framework for automatic construction of performance skeletons of a specified execution time and evaluates their use in performance prediction with CPU and network sharing. The approach is based on capturing the execution behavior of an application and automatically generating a synthetic skeleton program that reflects that execution behavior. The paper demonstrates that performance skeletons running for a few seconds can predict the application execution time fairly accurately. Relationship of skeleton execution time, application characteristics, and nature of resource sharing, to accuracy of skeleton based performance prediction, is analyzed in detail. The goal of this research is accurate performance estimation in heterogeneous and shared computational grids.
机译：应用程序的性能框架是一个运行时间短的程序，其在任何情况下的性能都反映了它所代表的应用程序的性能。具体而言，性能框架的执行时间是相应应用程序在任何执行环境中的执行时间的固定小部分。可以使用这样的框架来快速估计现有网络和节点共享下大型应用程序的性能。本文提供了一个用于自动构建指定执行时间的性能框架的框架，并评估了它们在具有CPU和网络共享的性能预测中的使用。该方法基于捕获应用程序的执行行为并自动生成反映该执行行为的合成框架程序。本文演示了运行几秒钟的性能框架可以相当准确地预测应用程序的执行时间。详细分析了骨架执行时间，应用程序特性和资源共享性质与基于骨架的性能预测的准确性之间的关系。这项研究的目标是在异构和共享计算网格中进行准确的性能估计。

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