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Techniques to Extend Canary-Based Standby /86/68/68 Scaling for SRAMs to 45 nm and Beyond Jiajing Wang, Student Member , IEEE, and Benton
通过canary细胞反馈机制实现SRAM待机功耗的动态优化
45nm CMOS, 待机功耗优化, DRV跟踪
SRAM待机功耗canary细胞PVT变化亚阈值电压
▸采用canary细胞反馈机制跟踪PVT变化
▸提出亚阈值电压下控制逻辑的电路设计
▸建立新的分析模型以优化canary细胞在变异环境下的性能
Abstract
scaling is an efficient technique to reduce SRAM leakage power during standby mode. The data retention voltage (DRV) defines the minimum that can be applied to an SRAM cell without losing data. The conventional worst-case guard-banding approach selects a fixed standby supply voltage at design time to accommodate the variability of DRV , which sacrifices potential power savings for non-worst-case scenarios. We have proposed a canary-based feedback to achieve aggressive power savings by tracking PVT variations through canary cell failures. In this paper , we show new measured silicon results that confirm the ability of the canary scheme to track PVT changes. We thoroughly analyze the adaptiveness of the canary cells for tracking changes in the SRAM array, including the ability to track PVT fluctuations. We present circuits for robustly building the control logic that implements the feedback mechanism at subthreshold supply voltages, and we derive a new analytical model to help tune the canary cells in the presence of variations. To realistically quantify the potential savings achievable by the canary scheme, we assess the impact of various sources of over- head. Finally, we investigate the performance of the canary based scheme in nanometer technologies, and we show that it promises to provide substantial standby power savings down to the 22 nm node.