autooperf:对性能实验的工作流支持

Xiaoguang Dai, B. Norris, A. Malony
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引用次数: 4

摘要

许多优秀的开源和商业工具能够详细测量应用程序的性能属性。然而,由于工具接口和体系结构的差异,收集测量数据并对其进行分析的过程仍然是工作量很大的。此外,标准和自动化的不足可能导致实验信息的丢失,这可能反过来导致对数据和分析结果的误解。Autoperf旨在以统一和便携的方式支持性能测量和分析的整个工作流程,通过自动化数据收集和分析以及实验可重复性实现更好的生产力。
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Autoperf: Workflow Support for Performance Experiments
Many excellent open-source and commercial tools enable the detailed measurement of the performance attributes of applications. However, the process of collecting measurement data and analyzing it remains effort-intensive because of differences in tool interfaces and architectures. Furthermore, insufficient standards and automation may result in losing information about experiments, which may in turn lead to misinterpretation of the data and analysis results. Autoperf aims to support the entire workflow in performance measurement and analysis in a uniform and portable fashion, enabling both better productivity through automation of data collection and analysis and experiment reproducibility.
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