Application Characterization Using Oxbow Toolkit and PADS Infrastructure

S. Sreepathi, M. Grodowitz, Robert V. Lim, Philip Taffet, P. Roth, J. Meredith, Seyong Lee, Dong Li, J. Vetter
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引用次数: 14

Abstract

Characterizing the behavior of a scientific application and its associated proxy application is essential for determining whether the proxy application actually does mimic the full application. To support our ongoing characterization activities, we have developed the Oxbow toolkit and an associated data store infrastructure for collecting, storing, and querying this characterization information. This paper presents recent updates to the Oxbow toolkit and introduces the Oxbow project's Performance Analytics Data Store (PADS). To demonstrate the possible insights when using the toolkit and data store, we compare the characterizations of several full and proxy applications, along with the High Performance Linpack (HPL) and High Performance Conjugate Gradient (HPCG) benchmarks. Using techniques such as cluster visualizations of PADS data across many experiments, we found that the results show unexpected similarities and differences between proxy applications, and a greater similarity of proxy applications to HPCG than to HPL along many dimensions.
应用表征使用Oxbow工具包和PADS基础设施
描述科学应用程序及其相关代理应用程序的行为对于确定代理应用程序是否真正模拟完整的应用程序至关重要。为了支持我们正在进行的表征活动,我们开发了Oxbow工具包和相关的数据存储基础设施,用于收集、存储和查询这些表征信息。本文介绍了Oxbow工具箱的最新更新,并介绍了Oxbow项目的性能分析数据存储(PADS)。为了演示使用工具包和数据存储时可能的见解,我们比较了几个完整和代理应用程序的特征,以及高性能Linpack (HPL)和高性能共轭梯度(HPCG)基准测试。在许多实验中使用诸如PADS数据的聚类可视化等技术,我们发现结果显示了代理应用程序之间意想不到的相似性和差异性,并且代理应用程序在许多维度上与HPCG的相似性大于与HPL的相似性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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