FirmLeak: A Framework for Efficient and Accurate Runtime Estimation of Leakage Power by Firmware

Arun Joseph, A. Haridass, C. Lefurgy, Spandana Rachamalla, Sreekanth Pai, Diyanesh Chinnakkonda, Vidushi Goyal
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引用次数: 2

Abstract

Separating the dynamic power and leakage power components from total microprocessor power can enable new optimizations for cloud computing. To this end, we introduce FirmLeak, a new framework that enables accurate, real-time estimation of microprocessor leakage power by system software. FirmLeak accounts for power-gating regions, per-core voltage domains, and manufacturing variation. We present an experimental evaluation of FirmLeak on a POWER7+ microprocessor for a range of hardware parts, voltages and temperatures. We discuss how this can be used in two applications to manage power by 1) improving billing of energy for cloud computing and 2) optimizing fan power consumption.
FirmLeak:一个有效和准确的固件泄漏功率运行时估计框架
将动态功率和泄漏功率组件从总微处理器功率中分离出来可以实现云计算的新优化。为此,我们介绍了FirmLeak,这是一个新的框架,可以通过系统软件精确、实时地估计微处理器泄漏功率。FirmLeak说明电源门控区域,每核电压域,和制造变化。我们在POWER7+微处理器上对一系列硬件部件、电压和温度进行了FirmLeak的实验评估。我们将讨论如何在两个应用程序中使用它来管理电源:1)改善云计算的能源计费;2)优化风扇功耗。
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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