Artificial evolution in computer aided design: from the optimization of parameters to the creation of assembly programs

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

@Article{DBLP:journals/computing/Squillero11,
  author =       "Giovanni Squillero",
  title =        "Artificial evolution in computer aided design: from
                 the optimization of parameters to the creation of
                 assembly programs",
  journal =      "Computing",
  year =         "2011",
  volume =       "93",
  number =       "2-4",
  pages =        "103--120",
  month =        dec,
  note =         "Special Issue on Bio inspired Computing",
  keywords =     "genetic algorithms, genetic programming, microGP,
                 Evolutionary computation Microprocessors Post-silicon
                 verification Speed paths",
  timestamp =    "Tue, 22 Nov 2011 15:25:10 +0100",
  biburl =       "http://dblp.uni-trier.de/rec/bib/journals/computing/Squillero11",
  bibsource =    "dblp computer science bibliography, http://dblp.org",
  ISSN =         "0010-485X",
  DOI =          "doi:10.1007/s00607-011-0157-9",
  size =         "18 pages",
  abstract =     "Evolutionary computation has been little, but
                 steadily, used in the CAD community during the past 20
                 years. Nowadays, due to their overwhelming complexity,
                 significant steps in the validation of microprocessors
                 must be performed on silicon, i.e., running experiments
                 on physical devices after tape-out. The scenario
                 created new space for innovative heuristics. This paper
                 shows a methodology based on an evolutionary algorithm
                 that can be used to devise assembly programs suitable
                 for a range of on-silicon activities. The paper
                 describes how to take into account complex hardware
                 characteristics and architectural details. The
                 experimental evaluation performed on two high-end Intel
                 microprocessors demonstrates the potentiality of this
                 line of research.",
}

Genetic Programming entries for Giovanni Squillero

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