A SIMD Interpreter for Genetic Programming on GPU Graphics Cards

Created by W.Langdon from gp-bibliography.bib Revision:1.4534

  title =        "A {SIMD} Interpreter for Genetic Programming on {GPU}
                 Graphics Cards",
  author =       "William B. Langdon and Wolfgang Banzhaf",
  bibdate =      "2008-04-15",
  bibsource =    "DBLP,
  booktitle =    "Proceedings of the 11th European Conference on Genetic
                 Programming, EuroGP 2008",
  address =      "Naples",
  month =        "26-28 " # mar,
  publisher =    "Springer",
  year =         "2008",
  volume =       "4971",
  editor =       "Michael O'Neill and Leonardo Vanneschi and 
                 Steven Gustafson and Anna Isabel {Esparcia Alcazar} and 
                 Ivanoe {De Falco} and Antonio {Della Cioppa} and 
                 Ernesto Tarantino",
  isbn13 =       "978-3-540-78670-2",
  pages =        "73--85",
  series =       "Lecture Notes in Computer Science",
  DOI =          "doi:10.1007/978-3-540-78671-9_7",
  keywords =     "genetic algorithms, genetic programming, GPU, parallel
                 computing architecture",
  URL =          "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/langdon_2008_eurogp.pdf",
  URL =          "https://www.youtube.com/watch?v=yEug4ODkDTk",
  size =         "13 pages",
  abstract =     "Mackey-Glass chaotic time series prediction and
                 nuclear protein classification show the feasibility of
                 evaluating genetic programming populations directly on
                 parallel consumer gaming graphics processing units.
                 Using a Linux KDE computer equipped with an nVidia
                 GeForce 8800 GTX graphics processing unit card the C++
                 SPMD interpretter evolves programs at giga GP operation
                 per second (895 million GPops). We use the RapidMind
                 general processing on GPU (GPGPU) framework to evaluate
                 an entire population of a quarter of a million
                 individual programs on a non-trivial problem in 4
                 seconds. An efficient reverse polish notation (RPN)
                 tree based GP is given.",
  notes =        "also known as \cite{conf/eurogp/LangdonB08}

                 Memorial University



                 Part of \cite{conf/eurogp/2008} EuroGP'2008 held in
                 conjunction with EvoCOP2008, EvoBIO2008 and

Genetic Programming entries for William B Langdon Wolfgang Banzhaf