Towards Evolving Industry-Feasible Intrinsic Variability Tolerant CMOS Designs

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Walker:2009:cec,
  author =       "James Alfred Walker and James A. Hilder and 
                 Andy M. Tyrrell",
  title =        "Towards Evolving Industry-Feasible Intrinsic
                 Variability Tolerant CMOS Designs",
  booktitle =    "2009 IEEE Congress on Evolutionary Computation",
  year =         "2009",
  editor =       "Andy Tyrrell",
  pages =        "1591--1598",
  address =      "Trondheim, Norway",
  month =        "18-21 " # may,
  organization = "IEEE Computational Intelligence Society",
  publisher =    "IEEE Press",
  isbn13 =       "978-1-4244-2959-2",
  file =         "P444.pdf",
  DOI =          "doi:10.1109/CEC.2009.4983132",
  abstract =     "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.",
  keywords =     "genetic algorithms, genetic programming, cartesian
                 genetic programming",
  notes =        "CEC 2009 - A joint meeting of the IEEE, the EPS and
                 the IET. IEEE Catalog Number: CFP09ICE-CDR",
}

Genetic Programming entries for James Alfred Walker James A Hilder Andrew M Tyrrell

Citations