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A SIMD interpreter for Genetic Programming on GPU Graphics Cards

Created by W.Langdon from gp-bibliography.bib Revision:1.1360

@InProceedings{langdon:2008:eurogp,
  author =       "W. B. Langdon and Wolfgang Banzhaf",
  title =        "A {SIMD} interpreter for Genetic Programming on {GPU}
                 Graphics Cards",
  booktitle =    "EuroGP",
  year =         "2008",
  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",
  volume =       "4971",
  series =       "LNCS",
  pages =        "73--85",
  address =      "Naples",
  month =        "26-28 " # mar,
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, GPU, parallel
                 computing architecture",
  isbn13 =       "978-3-540-78670-2",
  URL =          "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/langdon_2008_eurogp.pdf",
  doi =          "doi:10.1007/978-3-540-78671-9_7",
  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 =        "Memorial University

                 Animation
                 http://www.cs.ucl.ac.uk/staff/W.Langdon/pi2_movie.html

                 Code
                 http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/gp-code/gpu_gp_1.tar.gz",
}

Genetic Programming entries for William B Langdon Wolfgang Banzhaf