Genetically Improved CUDA C++ Software

Created by W.Langdon from gp-bibliography.bib Revision:1.4020

  author =       "William B. Langdon and Mark Harman",
  title =        "Genetically Improved CUDA C++ Software",
  booktitle =    "17th European Conference on Genetic Programming",
  year =         "2014",
  editor =       "Miguel Nicolau and Krzysztof Krawiec and 
                 Malcolm I. Heywood and Mauro Castelli and Pablo Garcia-Sanchez and 
                 Juan J. Merelo and Victor M. {Rivas Santos} and 
                 Kevin Sim",
  series =       "LNCS",
  volume =       "8599",
  publisher =    "Springer",
  pages =        "87--99",
  address =      "Granada, Spain",
  month =        "23-25 " # apr,
  organisation = "EvoStar",
  keywords =     "genetic algorithms, genetic programming, evolutionary
                 programming, software engineering, GPU",
  isbn13 =       "978-3-662-44302-6",
  URL =          "",
  DOI =          "doi:10.1007/978-3-662-44303-3_8",
  size =         "12 pages",
  abstract =     "Genetic Programming (GP) may dramatically increase the
                 performance of software written by domain experts. GP
                 and autotuning are used to optimise and refactor legacy
                 GPGPU C code for modern graphics hardware and software.
                 Speed ups of more than six times on the newest GPU
                 hardware are reported compared to the original code on
                 the same hardware.",
  notes =        "

                 training data

                 animations etc
                 Cited by \cite{Langdon:2016:GPEM}

                 Part of \cite{Nicolau:2014:GP} EuroGP'2014 held in
                 conjunction with EvoCOP2014, EvoBIO2014, EvoMusArt2014
                 and EvoApplications2014",

Genetic Programming entries for William B Langdon Mark Harman