A SIMD interpreter for Genetic Programming on GPU Graphics Cards

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "W. B. Langdon",
  title =        "A SIMD interpreter for Genetic Programming on GPU
                 Graphics Cards",
  institution =  "Department of Computer Science, University of Essex",
  year =         "2007",
  number =       "CSM-470",
  address =      "Colchester, UK",
  month =        "3 " # jul,
  keywords =     "genetic algorithms, genetic programming, GPU, parallel
                 computing architecture",
  URL =          "http://cswww.essex.ac.uk/technical-reports/2007/csm_470.pdf",
  ISSN =         "1744-8050",
  abstract =     "Mackey-Glass chaotic time series prediction and
                 non-nuclear protein classification show the feasibility
                 of evaluating genetic programming populations on SPMD
                 parallel computing consumer gaming graphics processing
                 units. The C++ framework with a regular disk less Linux
                 KDE desktop equipped with a single leading nVidia
                 GeForce 8800 GTX graphics processing unit card is
                 demonstrated evolving programs at Giga GP operation per
                 second (895 million GPops). The RapidMind general
                 processing on GPU (GPGPU) framework supports evaluating
                 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. Replaced by
  size =         "16 pages",

Genetic Programming entries for William B Langdon