Abstraction and microarchitecture scaling in early-stage power modeling

H. Jacobson, A. Buyuktosunoglu, P. Bose, E. Acar, R. Eickemeyer
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引用次数: 39

Abstract

Early-stage, microarchitecture-level power modeling methodologies have been used in industry and academic research for a decade (or more). Such methods use cycle-accurate performance simulators and deduce active power based on utilization markers. A key question faced in this context is: what key utilization metrics to monitor, and how many are needed for accuracy? Is there a systematic way to select the “best” markers? We also pose a key follow-on question: is it possible to perform accurate scaling of an abstracted model to enable exploration of new microarchitecture features? In this paper, we address these particular questions and examine the results for a range of abstraction levels. We highlight innovative insights for intelligent abstraction and microarchitecture scaling, and point out the pitfalls of abstractions that are not based on a systematic methodology or sound theory.
早期功率建模中的抽象和微架构缩放
早期阶段的微架构级功率建模方法已经在工业和学术研究中使用了十年(或更长时间)。这种方法使用周期精确的性能模拟器,并根据利用率标记推断有功功率。在此上下文中面临的一个关键问题是:要监视哪些关键利用率指标,以及需要多少个指标才能达到准确性?是否有一个系统的方法来选择“最好”的标记?我们还提出了一个关键的后续问题:是否有可能对抽象模型进行精确缩放,从而探索新的微架构特性?在本文中,我们解决了这些特定的问题,并检查了一系列抽象级别的结果。我们强调了智能抽象和微架构扩展的创新见解,并指出了不基于系统方法或可靠理论的抽象的陷阱。
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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