Using Genetic Programming and High Level Synthesis to Design Optimized Datapath

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

  author =       "Sergio G. Araujo and A. Mesquita and 
                 Aloysio C. P. Pedroza",
  title =        "Using Genetic Programming and High Level Synthesis to
                 Design Optimized Datapath",
  booktitle =    "Evolvable Systems: From Biology to Hardware, Fifth
                 International Conference, ICES 2003",
  year =         "2003",
  editor =       "Andy M. Tyrrell and Pauline C. Haddow and 
                 Jim Torresen",
  volume =       "2606",
  series =       "LNCS",
  pages =        "434--445",
  address =      "Trondheim, Norway",
  month =        "17-20 " # mar,
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-00730-X",
  DOI =          "doi:10.1007/3-540-36553-2_39",
  abstract =     "a methodology to design optimised electronic digital
                 systems from high abstraction level descriptions. The
                 methodology uses Genetic Programming in addition to
                 high-level synthesis tools to automatically improve
                 design structural quality (area measure). A two-stage,
                 multiobjective optimization algorithm is used to search
                 for circuits with the desired functionality subjected
                 additionally to chip area constraints. Experiment with
                 a square-root approximation datapath design targeted to
                 FPGA exemplifies the proposed methodology.",
  notes =        "ICES-2003",

Genetic Programming entries for Sergio Granato de Araujo Antonio Carneiro de Mesquita Filho Aloysio C P Pedroza