Title :
Read Stability and Write-Ability Analysis of SRAM Cells for Nanometer Technologies
Author :
Grossar, Evelyn ; Stucchi, Michele ; Maex, Karen ; Dehaene, Wim
Author_Institution :
IMEC, Leuven
Abstract :
SRAM cell read stability and write-ability are major concerns in nanometer CMOS technologies, due to the progressive increase in intra-die variability and Vdd scaling. This paper analyzes the read stability N-curve metrics and compares them with the commonly used static noise margin (SNM) metric defined by Seevinck. Additionally, new write-ability metrics derived from the same N-curve are introduced and compared with the traditional write-trip point definition. Analytical models of all these metrics are developed. It is demonstrated that the new metrics provide additional information in terms of current, which allows designing a more robust and stable cell. By taking into account this current information, Vdd scaling is no longer a limiting factor for the read stability of the cell. Finally, these metrics are used to investigate the impact of the intra-die variability on the stability of the cell by using a statistically-aware circuit optimization approach and the results are compared with the worst-case or corner-based design
Keywords :
CMOS integrated circuits; SRAM chips; circuit noise; circuit optimisation; nanotechnology; statistical analysis; SNM metric; SRAM cells; intra-die variability; nanometer CMOS technologies; read stability N-curve metrics; read stability analysis; static noise margin metric; statistically-aware circuit optimization approach; write-ability analysis; write-trip point definition; Analytical models; CMOS technology; Circuit optimization; Circuit stability; Design optimization; Random access memory; Robustness; Stability analysis; System-on-a-chip; Voltage; Intra-die; N-curve; read stability and write-ability of the SRAM cell; statistically-aware design optimization;
Journal_Title :
Solid-State Circuits, IEEE Journal of
DOI :
10.1109/JSSC.2006.883344