A CUDA SIMT Interpreter for Genetic Programming

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

@TechReport{langdon:2009:TR-09-05,
  author =       "W. B. Langdon",
  title =        "A {CUDA} {SIMT} Interpreter for Genetic Programming",
  institution =  "Department of Computer Science, King's College
                 London",
  year =         "2009",
  number =       "TR-09-05",
  address =      "Strand, WC2R 2LS, UK",
  month =        "18 " # jun,
  note =         "Revised",
  keywords =     "genetic algorithms, genetic programming, GPU, GPGPU,
                 Tesla, sub-machine code GP, CUDA",
  URL =          "http://www.dcs.kcl.ac.uk/technical-reports/papers/TR-09-05.pdf",
  URL =          "http://www.gpgpgpu.com/gecco2009/5.pdf",
  abstract =     "A Single Instruction Multiple Thread CUDA interpreter
                 provides SIMD like parallel evaluation of the whole GP
                 population of quarter of a million RPN expressions on
                 graphics cards and nVidia Tesla T10P. Using sub-machine
                 code GP a sustain peak performance of 212 billion GP
                 operations per second (3300 speed up) and an average of
                 4.5 peta GP ops per day is reported for a single card
                 on a Boolean induction benchmark never attempted
                 before, let alone solved.",
  notes =        "Revised entry to GPUs for Genetic and Evolutionary
                 Computation \href{http://www.gpgpgpu.com/gecco2009/}
                 {Competition}, GECCO 2009, 8 July.

                 Code
                 http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/gp-code/gp32cuda.tar.gz
                 Slides
                 http://www.cs.ucl.ac.uk/staff/W.Langdon/gecco2009/slides/langdon_SIMT_cigpu.html",
  size =         "2 pages",
}

Genetic Programming entries for William B Langdon