Towards Evolving Industry-Feasible Intrinsic Variability Tolerant CMOS Designs
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @InProceedings{Walker:2009:cec,
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author = "James Alfred Walker and James A. Hilder and
Andy M. Tyrrell",
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title = "Towards Evolving Industry-Feasible Intrinsic
Variability Tolerant CMOS Designs",
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booktitle = "2009 IEEE Congress on Evolutionary Computation",
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year = "2009",
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editor = "Andy Tyrrell",
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pages = "1591--1598",
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address = "Trondheim, Norway",
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month = "18-21 " # may,
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organization = "IEEE Computational Intelligence Society",
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publisher = "IEEE Press",
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isbn13 = "978-1-4244-2959-2",
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file = "P444.pdf",
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DOI = "doi:10.1109/CEC.2009.4983132",
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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.",
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keywords = "genetic algorithms, genetic programming, cartesian
genetic programming",
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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