Copyright © 2006 American Scientific Publishers All rights reserved Printed in the United States of America Journal of Low Power Electronics Vol. 2, 1–11, 2006 SRAM Cell Optimization for Ultra-Low Power Standby Huifang Qin 1 , Rakesh Vattikonda 2 , Thuan Trinh 1 , Yu Cao 2 , and Jan Rabaey 1 1 University of California at Berkeley, Berkeley, California 94720, USA 2 Arizona State University, Tempe, Arizona 85281, USA (Received: 20 June 2006; Accepted: 13 October 2006) This paper proposes a comprehensive SRAM cell optimization scheme that minimizes leakage power under ultra-low standby supply voltage (V DD ). The theoretical limit of data retention voltage (DRV), the minimum V DD that preserves the states of a memory cell, was derived to be 50 mV for an industrial 90 nm technology. A DRV design model was developed on parameters including body bias, sizing, and channel length. A test chip was implemented and measured to attain DRV sensitivities to key design parameters. Based on this, a low-leakage SRAM cell design methodology is derived and the feasibility of a 270 mV standby V DD was demonstrated, including a safety margin of 100 mV. As a result, the SRAM leakage power was reduced by 97%. Keywords: SRAM, Standby, Leakage, DRV, Data Retention, Sizing, Body Bias, Process Variation. 1. INTRODUCTION Technology scaling and the fact that a larger fraction of a chip is devoted to memory made SRAM leakage control increasingly important. In microprocessor designs memory consumes a significant portion of system power budget dur- ing light-duty operation mode. For example, a past study on 0.13 m high-end processor showed that leakage energy accounted for 30% of L1 cache energy and 80% of L2 cache energy. 1 For mobile applications low standby power is crucial, since compared to the small duration of active power, most times leakage power determines battery life. To minimize SRAM leakage power, many architec- ture and circuit level techniques were proposed, including dynamic-biasing, V DD -gating, and novel cell design. Dynamic-biasing techniques adjust the substrate-source and gate-source biases to enhance active driving strength and create low-leakage paths. 1–4 V DD -gating techniques use sleep transistors to turn off un-used memory sections, 56 or reduce V DD to the data-retention level of the memory. 78 Recently a 10 T SRAM cell with improved margins under very low V DD was proposed. The low voltage operation reduces both active and standby power. 9 Compared to these existing approaches, this work focus on improving the conventional 6 T SRAM cell for ultra-low voltage standby operation, based on an in-depth understanding Author to whom correspondence should be addressed. Email:huifangq@eecs.berkeley.edu This work was sponsored by the MARCO GSRC center and SRC. Fab- rication support from STMicroelectronics is appreciated. of the SRAM cell standby voltage limit. A comprehen- sive optimization methodology is developed, applying a combination of V DD -gating, dynamic-biasing, and sizing techniques. With the target of ultra-low power mobile application, the design goal is to achieve maximum standby power saving and reliable data retention, with minimum penalty on area, speed, and read-write stability. In order to minimize SRAM leakage power, an effective method is to reduce the memory standby V DD . The min- imum V DD that preserves memory data is the data reten- tion voltage (DRV). Measurement results from a 32 K bits SRAM module implemented in 130 nm technology showed that SRAM cell DRV ranges from 60 mV to 390 mV. At a 100 mV safety margin above the DRV, SRAM leakage power can be reduced by 85%. 8 Based on predictive device models, 10 SPICE simulations showed that the DRV increases with technology scaling due to larger process variations (Fig. 1). At a 32 nm node with 700 mV V DD , the DRV with 3process variations reaches 570 mV for standard SRAM cell. As a result, DRV-aware optimization is critical for future low-power and reliable SRAM design. Figure 1 also shows that by simply using a 5% larger channel length (L) for the four transistors in an SRAM cell inverter loop, 10 80 mV reduction in DRV and 50 90% saving in leakage power can be achieved. This is due to reduced device mismatch with larger channel length. As technology scales the tuning effect on DRV and leakage saving becomes more significant. Starting from the analysis on theoretical bound of SRAM DRV, impact of design parameters and process variations on SRAM low-voltage data-retention behavior J. Low Power Electronics 2006, Vol. 2, No. 3 1546-1998/2006/2/001/011 doi:10.1166/jolpe.2006.097 1