Reliability and variability have become big design challenges facing submicrometer SRAM designers. A low area overhead adaptive body bias (ABB) circuit is proposed in this paper to compensate for NBTI aging and process variations to improve the SRAM reliability and yield. The proposed ABB circuit consists of a threshold voltage sensing circuit and an on-chip analog controller. Postlayout simulation results, referring to an industrial hardware-calibrated STMicroelectronics 65 nm CMOS technology transistor model, are presented. The transistor model contains process variations and NBTI aging model cards, which are declared by STMicroelectronics to be silicon verified. Cadence RelXpert, Virtuoso Spectre, and Virtuoso UltraSim tools are used to estimate the NBTI aging and process variations impacts on the SRAM array. These results show that the proposed ABB compensates effectively for NBTI aging and process variations. For example, the proposed ABB reduces the read failure probability from 0.32% to 0.05% and the SNM degradation from 10.9% to 2.6% at 10 years aging time. In addition, the proposed ABB enhances the soft errors immunity of the SRAM cell by reducing the critical charge degradation from 12.7% to 3.4% at 10 years aging time.Index Terms-Adaptive body bias, deep submicrometer, negative bias temperature instability, process variations, soft errors, SRAM cells.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.