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Insight into Application Performance Using Application-Dependent Characteristics

机译:使用应用程序依赖性特征探视应用程序性能

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Carefully crafted performance characterization can provide significant insight into application performance and can be beneficial to computer designers, compiler and application developers, and end users. To achieve all the benefits of performance characterization, the characterization must incorporate a comprehensive set of characteristics that affect performance and can be measured with minimal perturbation from the underlying micro-architecture. To this end, we advocate the use of application-dependent characteristics that allow general conclusions to be drawn about the application itself rather than its observed performance on a specific architecture. In our prior work [7], we introduced a set of application-dependent characteristics and showed that they are consistent across architectures. In this work, we present an efficient characterization methodology that incorporates a more comprehensive set of application-dependent characteristics. We also explain in detail how these characteristics can be used to reason about and gain insight into application performance. Finally, we report characterization results on SPEC MPI2007 and Mantevo benchmarks. To our knowledge, this is the first work to present application-dependent characterization results for SPEC MPI2007 and some of the new Mantevo benchmarks.
机译:精心制作的性能表征可以提供对应用程序性能的显着深入了解,可以有利于计算机设计师,编译器和应用程序开发人员和最终用户。为了实现性能表征的所有好处,表征必须包含一系列影响性能的综合特性,并且可以通过底层微架构的最小扰动来测量。为此,我们主张使用应用程序相关的特征,以允许概括地得出关于应用程序本身的结论,而不是其在特定架构上的观察到的性能。在我们之前的工作[7]中,我们介绍了一系列依赖的特征,并显示它们跨架构一致。在这项工作中,我们提出了一种有效的表征方法,该方法包含更全面的应用程序相关特征。我们还详细介绍了这些特征如何用于推理和深入了解应用程序性能。最后,我们报告规范MPI2007和Mantevo基准的特征结果。为了我们的知识,这是第一个为规范MPI2007和一些新的Mantevo基准测试呈现应用程序相关的表征结果。

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