Title :
Variability-Aware Bulk-MOS Device Design
Author :
Jaffari, Javid ; Anis, Mohab
Author_Institution :
Dept. of Electr. & Comput. Eng., Waterloo Univ., Waterloo, ON
Abstract :
As CMOS technology is scaled down toward the nanoscale regime, drastically growing leakage currents and variations in device characteristics are becoming two important design challenges. Traditionally, the device-design methodology is based on finding the device parameters which minimize the leakage current while providing a minimum saturation current for the transistor. This methodology may change when variations are accounted for design. In this paper, a novel device optimization methodology is presented that incorporates variability awareness into the device-design flow such that the designed device satisfies desired bounds on total leakage, saturation current, and intrinsic delay under parameter variabilities. The technique locates the maximum-yield rectangular cube in the 5-D feasible space composed of oxide-thickness, gate-length, and channel-doping profile parameters. The center of this cube is considered as the maximum-yield design point with the highest immunity against variations. By using the methodology, four high-performance (HP) and low-power devices in 90-nm technology and one HP device in 65 nm have been designed. Monte Carlo simulations have been done to investigate the devices´ performance and power metric variations and to verify their yield maximality.
Keywords :
CMOS integrated circuits; MOSFET; Monte Carlo methods; doping profiles; integrated circuit design; integrated circuit yield; leakage currents; nanoelectronics; semiconductor device models; semiconductor doping; CMOS technology; Monte Carlo simulations; channel-doping profile; device optimization methodology; intrinsic delay; leakage currents; maximum-yield rectangular cube; nanoscale regime; power metric variation; size 90 nm; variability-aware bulk-MOS device design; Device design; Process variations; device design; optimization; process variations; yield modeling;
Journal_Title :
Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on
DOI :
10.1109/TCAD.2007.907234