TLB index-based tagging for cache energy reduction

Jongmin Lee, Seokin Hong, Soontae Kim
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引用次数: 13

Abstract

Conventional cache tag matching is based on addresses to identify correct data in caches. However, this tagging scheme is not efficient because tag bits are unnecessarily large. From our observations, there are not many unique tag bits due to typically small working sets, which are conventionally captured by TLBs. To effectively exploit this fact, we propose TLB index-based cache tagging scheme. This new tagging scheme reduces required number of tag bits to one-fourth of the conventional tagging scheme. The reduced tag bits decrease tag bits array area by 72% and its energy consumption by 58%. From our experiments, our proposed new tagging scheme reduces instruction cache energy consumption by 13% for embedded systems.
基于TLB索引的缓存能量降低标记
传统的缓存标签匹配是基于地址来识别缓存中正确的数据。然而,这种标记方案效率不高,因为标记位不必要地大。从我们的观察来看,由于通常很小的工作集(通常由tlb捕获),没有很多唯一的标签位。为了有效地利用这一事实,我们提出了基于TLB索引的缓存标记方案。这种新的标签方案将所需的标签位数减少到传统标签方案的四分之一。减少的标签位使标签位阵列面积减少72%,能耗减少58%。从我们的实验中,我们提出的新标签方案减少了13%的嵌入式系统指令缓存能耗。
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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