Elements of Statistical SPICE Models

被引:0
作者
Lu, Ning [1 ]
Watts, Josef [1 ]
Springer, Scott K. [1 ]
机构
[1] IBM Semicond Res & Dev Ctr, Syst & Technol Grp, Essex Jct, VT 05452 USA
来源
NANOTECH CONFERENCE & EXPO 2009, VOL 3, TECHNICAL PROCEEDINGS: NANOTECHNOLOGY 2009: BIOFUELS, RENEWABLE ENERGY, COATINGS FLUIDICS AND COMPACT MODELING | 2009年
关键词
SPICE modeling; statistical modeling; circuit simulation; asymmetric distribution;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
We discuss several elements of statistical SPICE models and present our solutions. We present (i) a solution of automatically detecting Monte Carlo vs. skewed Simulations, (ii) a method of modeling an arbitrarily given asymmetric or symmetric distribution, (iii) a hierarchical structure of the skewing parameters of many process/device statistical distributions for skewed simulations, (iv) a technique of combining chip-mean and across-chip variations for a single model parameter, (v) a method of correctly combining a chip-mean variation and an across-chip variation which is characterized as a percentage, and (vi) a method of enabling Monte Carlo simulations of across-chip variations at a skew corner of the chip-mean variations. These solutions establish a solid foundation for a good statistical SPICE model.
引用
收藏
页码:616 / 619
页数:4
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