Title :
Full-chip leakage analysis in nano-scale technologies: Mechanisms, variation sources, and verification
Author :
Li, Tao ; Zhang, Wenjun ; Yu, Zhiping
Author_Institution :
Inst. of Microelectron., Tsinghua Univ., Beijing
Abstract :
In this paper, a methodology for full-chip leakage analysis based on accurate modeling of different leakage currents in nano-scaled MOSFETs has been developed. Novel process effects have been covered in our statistical model, and a systematic characterization method of leakage-related parameter variations has been proposed. With these two contributions, we present an effective algorithm to address the growing issue of full-chip leakage verification for actual-fabrication circuits. Unlike many traditional approaches that rely on log-Normal approximations, the proposed algorithm applies a quadratic model of the logarithm for the full-chip leakage current and is able to include both Gaussian and non-Gaussian parameter distributions. Our simulation examples in a 65 nm CMOS process demonstrate that the proposed methodology provides more accurate results compared with the previous methods, while achieving orders of magnitude more efficiency than a Monte Carlo analysis.
Keywords :
CMOS integrated circuits; integrated circuit modelling; leakage currents; nanotechnology; statistical analysis; CMOS process; full-chip leakage analysis; full-chip leakage verification; leakage currents; nano-scaled MOSFET; nanoscale technologies; non-Gaussian parameter distributions; quadratic model; size 65 nm; statistical model; systematic characterization method; Algorithm design and analysis; CMOS technology; Circuits; High-K gate dielectrics; Leakage current; MOSFETs; Microelectronics; Semiconductor device modeling; Stress; Tunneling; Statistical analysis; leakage modeling; variation source;
Conference_Titel :
Design Automation Conference, 2008. DAC 2008. 45th ACM/IEEE
Conference_Location :
Anaheim, CA
Print_ISBN :
978-1-60558-115-6