Deployment of CPU and GPU-based genetic programming on heterogeneous devices

Created by W.Langdon from gp-bibliography.bib Revision:1.2031

@InProceedings{DBLP:conf/gecco/WilsonB09a,
  author =       "Garnett Carl Wilson and Wolfgang Banzhaf",
  title =        "Deployment of {CPU} and {GPU}-based genetic
                 programming on heterogeneous devices",
  booktitle =    "GECCO Workshop on Computational intelligence on
                 consumer games and graphics hardware (CIGPU-2009)",
  year =         "2009",
  editor =       "Anna I. Esparcia and Ying-ping Chen and 
                 Gabriela Ochoa and Ender Ozcan and Marc Schoenauer and Anne Auger and 
                 Hans-Georg Beyer and Nikolaus Hansen and 
                 Steffen Finck and Raymond Ros and Darrell Whitley and 
                 Garnett Wilson and Simon Harding and W. B. Langdon and 
                 Man Leung Wong and Laurence D. Merkle and Frank W. Moore and 
                 Sevan G. Ficici and William Rand and Rick Riolo and 
                 Nawwaf Kharma and William R. Buckley and Julian Miller and 
                 Kenneth Stanley and Jaume Bacardit and Will Browne and 
                 Jan Drugowitsch and Nicola Beume and Mike Preuss and 
                 Stephen L. Smith and Stefano Cagnoni and Jim DeLeo and 
                 Alexandru Floares and Aaron Baughman and 
                 Steven Gustafson and Maarten Keijzer and Arthur Kordon and 
                 Clare Bates Congdon and Laurence D. Merkle and 
                 Frank W. Moore",
  pages =        "2531--2538",
  address =      "Montreal",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  month =        "8-12 " # jul,
  organisation = "SigEvo",
  keywords =     "genetic algorithms, genetic programming, GPU",
  isbn13 =       "978-1-60558-325-9",
  bibsource =    "DBLP, http://dblp.uni-trier.de",
  doi =          "doi:10.1145/1570256.1570356",
  abstract =     "A widely available and economic means of increasing
                 the computing power applied to a problem is to use
                 modern graphics processing units (GPUs) for parallel
                 processing. We present a new, optimized general
                 methodology for deploying genetic programming (GP) to
                 the PC, Xbox 360 video game console, and Zune portable
                 media device. This work describes, for the first time,
                 the implementation considerations necessary to maximize
                 available CPU and GPU (where available) usage on the
                 three separate hardware platforms. We demonstrate the
                 first instance of GP using portable digital media
                 device hardware. The work also presents, for the first
                 time, an Xbox 360 implementation that uses the GPU for
                 fitness evaluation. Implementations on each platform
                 are also benchmarked on the basis of execution time for
                 an established GP regression benchmark.",
  notes =        "Distributed on CD-ROM at GECCO-2009.

                 ACM Order Number 910092.",
}

Genetic Programming entries for Garnett Carl Wilson Wolfgang Banzhaf