A noise tolerant cache design to reduce gate and sub-threshold leakage in the nanometer regime

A. Agarwal, K. Roy
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引用次数: 43

Abstract

Scaling devices while maintaining reasonable short channel immunity requires gate oxide thickness of less than 20 /spl Aring/ for CMOS devices beyond the 70 nm technology node. Low oxide thickness gives rise to considerable direct tunneling current (gate leakage). Power dissipation in large caches is dominated by the gate and sub-threshold leakage current. This paper proposes a novel cache that has high noise immunity with improved leakage power. For every bank of SRAM cells, this technique requires an extra diode in parallel with a gated-ground transistor connected between the source of NMOS transistors and ground in SRAM cells. The row decoder itself can be used to control the extra gated-ground transistor. Our simulation results on a 70 nm process (Berkeley Predictive Technology Model augmented with our gate leakage model) show 39.2% reduction in consumed energy (leakage plus dynamic) in L1 cache and 59.4% reduction in L2 cache energy with less than 2.5% impact on execution time. The technique is applicable to data and instruction caches as well as different levels of cache hierarchy such as the L1, L2, or L3 caches.
一种耐噪高速缓存设计,可减少纳米级栅极和亚阈值泄漏
在保持合理的短通道抗扰度的同时缩放器件,对于超过70 nm技术节点的CMOS器件,要求栅极氧化物厚度小于20 /spl /。低的氧化物厚度会产生相当大的直接隧穿电流(栅漏)。大型缓存的功耗主要受栅极和亚阈值泄漏电流的影响。本文提出了一种新型高速缓存,具有高抗噪性和提高泄漏功率的特点。对于每一组SRAM单元,该技术需要在NMOS晶体管源和SRAM单元地之间并联一个额外的二极管和栅极接地晶体管。行解码器本身可以用来控制额外的门接地晶体管。我们在70 nm工艺上的仿真结果(Berkeley Predictive Technology Model增强了我们的栅极泄漏模型)表明,L1缓存的能耗(泄漏加动态)降低了39.2%,L2缓存的能耗降低了59.4%,对执行时间的影响小于2.5%。该技术适用于数据和指令缓存以及不同级别的缓存层次结构,如L1、L2或L3缓存。
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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