Towards Evolving Industry-feasible Intrinsic Variability Tolerant CMOS Designs

TY - JOUR

T1 - Towards Evolving Industry-feasible Intrinsic Variability Tolerant CMOS Designs

AU - Walker, James Alfred

AU - Hilder, James A.

AU - Tyrrell, Andy M.

PY - 2009

Y1 - 2009

N2 - As the size of CMOS devices is approaching the atomic level, the increasing intrinsic device variability is leading to higher failure rates in. conventional CMOS designs. This paper introduces a design tool capable of evolving CMOS topologies using a modified form of Cartesian Genetic Programming and a multi-objective strategy. The effect of intrinsic variability within the design is then analysed using statistically enhanced SPICE models based on 3D-atomistic simulations. The goal is to produce industry-feasible topology designs which are more tolerant to the random fluctuations that will be prevalent in future technology nodes. The results show evolved XOR and XNOR CMOS topologies and compare the impact of threshold voltage variation on the evolved designs with those from a standard cell library.

AB - As the size of CMOS devices is approaching the atomic level, the increasing intrinsic device variability is leading to higher failure rates in. conventional CMOS designs. This paper introduces a design tool capable of evolving CMOS topologies using a modified form of Cartesian Genetic Programming and a multi-objective strategy. The effect of intrinsic variability within the design is then analysed using statistically enhanced SPICE models based on 3D-atomistic simulations. The goal is to produce industry-feasible topology designs which are more tolerant to the random fluctuations that will be prevalent in future technology nodes. The results show evolved XOR and XNOR CMOS topologies and compare the impact of threshold voltage variation on the evolved designs with those from a standard cell library.

KW - DEVICES

UR - http://www.scopus.com/inward/record.url?scp=70449989321&partnerID=8YFLogxK

M3 - Article

SP - 1591

EP - 1598

JO - 2009 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-5

JF - 2009 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-5

ER -