在平均吞吐量约束下最小化芯片多处理器的功耗

M. Ghasemazar, E. Pakbaznia, Massoud Pedram
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引用次数: 32

摘要

在多核系统中,可以通过使用电源管理(PM)动态地权衡功耗和性能。本文讨论了在保持目标平均吞吐量的同时最小化芯片多处理器(CMP)的总功耗的问题。提出的解决方案依赖于一个分层框架,该框架采用核心整合、粗粒度动态电压和频率缩放(DVFS)和任务分配(CMP级)和基于闭环反馈控制的细粒度DVFS(单个核心级)。与基线技术相比,我们的实验结果非常有利,显示出明显的平均功耗节省,并证明了所提出的分层PM框架的高效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Minimizing the power consumption of a Chip Multiprocessor under an average throughput constraint
In a multi-core system, power and performance may be dynamically traded off by utilizing power management (PM). This paper addresses the problem of minimizing the total power consumption of a Chip Multiprocessor (CMP) while maintaining a target average throughput. The proposed solution relies on a hierarchical framework, which employs core consolidation, coarse-grain dynamic voltage and frequency scaling (DVFS), and task assignment at the CMP level and fine-grain DVFS based on closed-loop feedback control at the individual core level. Our experimental results are very favorable showing noticeable average power saving compared to a baseline technique, and demonstrate the high efficacy of the proposed hierarchical PM framework.
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