Accelerating Genetic Programming through Graphics Processing Units

Created by W.Langdon from gp-bibliography.bib Revision:1.4504

  author =       "Wolfgang Banzhaf and Simon Harding and 
                 William B. Langdon and Garnett Wilson",
  title =        "Accelerating Genetic Programming through Graphics
                 Processing Units",
  booktitle =    "Genetic Programming Theory and Practice {VI}",
  year =         "2008",
  editor =       "Rick L. Riolo and Terence Soule and Bill Worzel",
  series =       "Genetic and Evolutionary Computation",
  chapter =      "15",
  pages =        "229--249",
  address =      "Ann Arbor",
  month =        "15-17 " # may,
  publisher =    "Springer",
  size =         "20 pages",
  keywords =     "genetic algorithms, genetic programming, graphics
                 processing units, parallel processing, GPU",
  DOI =          "doi:10.1007/978-0-387-87623-8_15",
  size =         "19 pages",
  abstract =     "Graphics Processing Units (GPUs) are in the process of
                 becoming a major source of computational power for
                 numerical applications. Originally designed for
                 application of time-consuming graphics operations, GPUs
                 are stream processors that implement the SIMD paradigm.
                 The true degree of parallelism of GPUs is often hidden
                 from the user, making programming even more flexible
                 and convenient. In this chapter we survey Genetic
                 Programming methods currently ported to GPUs.",
  isbn13 =       "978-0-387-87622-1",
  notes =        "part of \cite{Riolo:2008:GPTP} published in 2009",

Genetic Programming entries for Wolfgang Banzhaf Simon Harding William B Langdon Garnett Carl Wilson