Measuring the Performance and Intrinsic Variability of Evolved Circuits

Created by W.Langdon from gp-bibliography.bib Revision:1.4208

  author =       "James Alfred Walker and James A Hilder and 
                 Andy M. Tyrrell",
  title =        "Measuring the Performance and Intrinsic Variability of
                 Evolved Circuits",
  booktitle =    "Proceedings of the 9th International Conference
                 Evolvable Systems: From Biology to Hardware, ICES
  year =         "2010",
  editor =       "Gianluca Tempesti and Andy M. Tyrrell and 
                 Julian F. Miller",
  series =       "Lecture Notes in Computer Science",
  volume =       "6274",
  pages =        "1--12",
  address =      "York",
  month =        sep # " 6-8",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, Cartesian
                 Genetic Programming",
  isbn13 =       "978-3-642-15322-8",
  DOI =          "doi:10.1007/978-3-642-15323-5_1",
  abstract =     "This paper presents a comparison between conventional
                 and multi-objective Cartesian Genetic Programming
                 evolved designs for a 2-bit adder and a 2-bit
                 multiplier. Each design is converted from a gate-level
                 schematic to a transistor level implementation, through
                 the use of an open-source standard cell library, and
                 simulated in NGSPICE in order to generate industry
                 standard metrics, such as propagation delay and dynamic
                 power. Additionally, a statistical intrinsic
                 variability analysis is performed, in order to see how
                 each design is affected by intrinsic variability when
                 fabricated at a cutting-edge technology node. The
                 results show that the evolved design for the 2-bit
                 adder is slower and consumes more power than the
                 conventional design. The evolved design for the 2-bit
                 multiplier was found to be faster but consumed more
                 power than the conventional design, and that it was
                 also more tolerant to the effects of intrinsic
                 variability in both timing and power. This provides
                 evidence that in the future, evolutionary-based
                 approaches could be a feasible alternative for
                 optimising designs at cutting-edge technology nodes,
                 where traditional design methodologies are no longer
                 appropriate, providing speed and power information
                 about the standard cell library is used.",
  affiliation =  "Intelligent Systems Group, Department of Electronics,
                 University of York, Heslington, York, YO10 5DD UK",

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