DocumentCode
941439
Title
Variability-Aware Bulk-MOS Device Design
Author
Jaffari, Javid ; Anis, Mohab
Author_Institution
Dept. of Electr. & Comput. Eng., Waterloo Univ., Waterloo, ON
Volume
27
Issue
2
fYear
2008
Firstpage
205
Lastpage
216
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;
fLanguage
English
Journal_Title
Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on
Publisher
ieee
ISSN
0278-0070
Type
jour
DOI
10.1109/TCAD.2007.907234
Filename
4358315
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