FlexiWay:一种使用细粒度缓存重构的缓存节能技术

Sparsh Mittal, Zhao Zhang, J. Vetter
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引用次数: 40

摘要

CMOS缩放和使用大型最后一级缓存(LLCs)的最新趋势导致LLCs的泄漏能耗显着增加,因此,管理其能耗在现代处理器设计中变得极其重要。传统的缓存节能技术需要离线分析,或者只提供粗粒度的缓存分配。提出了一种基于动态缓存重构的缓存节能技术——FlexiWay。FlexiWay在逻辑上将缓存集划分为多个(例如16个)模块,并在每个模块中动态地关闭合适的和可能不同数量的缓存方式。FlexiWay的实现开销非常小,即使是典型的关联缓存(例如8路缓存),它也能提供细粒度的缓存分配。使用x86-64模拟器和来自SPEC2006套件的工作负载进行了微架构模拟。此外,还将FlexiWay与两种传统节能技术进行了比较。结果表明,该方法节能效果显著,性能损失小。对于单核、双核和四核系统,使用FlexiWay的平均节能分别为26.2%、25.7%和22.4%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FlexiWay: A cache energy saving technique using fine-grained cache reconfiguration
Recent trends of CMOS scaling and use of large last level caches (LLCs) have led to significant increase in the leakage energy consumption of LLCs and hence, managing their energy consumption has become extremely important in modern processor design. The conventional cache energy saving techniques require offline profiling or provide only coarse granularity of cache allocation. We present FlexiWay, a cache energy saving technique which uses dynamic cache reconfiguration. FlexiWay logically divides the cache sets into multiple (e.g. 16) modules and dynamically turns off suitable and possibly different number of cache ways in each module. FlexiWay has very small implementation overhead and it provides fine-grain cache allocation even with caches of typical associativity, e.g. an 8-way cache. Microarchitectural simulations have been performed using an x86-64 simulator and workloads from SPEC2006 suite. Also, FlexiWay has been compared with two conventional energy saving techniques. The results show that FlexiWay provides largest energy saving and incurs only small loss in performance. For single, dual and quad core systems, the average energy saving using FlexiWay are 26.2%, 25.7% and 22.4%, respectively.
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