Graphics Processing Units and Genetic Programming: An overview

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@Article{langdon:2011:SC,
  author =       "W. B. Langdon",
  title =        "Graphics Processing Units and Genetic Programming: An
                 overview",
  journal =      "Soft Computing",
  year =         "2011",
  pages =        "1657--1669",
  volume =       "15",
  issue =        "8",
  month =        aug,
  keywords =     "genetic algorithms, genetic programming, CUDA, nVidia,
                 GPGPU, Survey, SIMD parallel interpreter, Reverse
                 Polish Notation, nvcc compiler, GPU, CIGPU, CELL,
                 PlayStation 3, Affymetrix GeneChip, breast cancer,
                 decorin, S-adenosylhomocysteine hydrolase, gzip",
  ISSN =         "1432-7643",
  URL =          "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/langdon_gpu.pdf",
  DOI =          "doi:10.1007/s00500-011-0695-2",
  size =         "13 pages",
  abstract =     "A top end graphics card (GPU) plus a suitable SIMD
                 interpreter, can deliver a several hundred fold speed
                 up, yet cost less than the computer holding it. We give
                 highlights of AI and computational intelligence
                 applications in the new field of general purpose
                 computing on graphics hardware (GPGPU). In particular
                 we survey genetic programming (GP) use with GPU. We
                 give several applications from Bioinformatics and show
                 how the fastest GP is based on an interpreter rather
                 than compilation. Finally using GP to generate GPU CUDA
                 kernel C++ code is sketched.",
}

Genetic Programming entries for William B Langdon

Citations