Accelerated parallel genetic programming tree evaluation with OpenCL

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{Augusto2012,
  author =       "Douglas A. Augusto and Helio J. C. Barbosa",
  title =        "Accelerated parallel genetic programming tree
                 evaluation with {OpenCL}",
  journal =      "Journal of Parallel and Distributed Computing",
  volume =       "73",
  number =       "1",
  pages =        "86--100",
  year =         "2013",
  note =         "Metaheuristics on GPUs",
  ISSN =         "0743-7315",
  DOI =          "doi:10.1016/j.jpdc.2012.01.012",
  URL =          "http://www.sciencedirect.com/science/article/pii/S074373151200024X",
  keywords =     "genetic algorithms, genetic programming, GPU, OpenCL,
                 GP-GPU, Accelerated tree evaluation",
  abstract =     "Inspired by the process of natural selection, genetic
                 programming (GP) aims at automatically building
                 arbitrarily complex computer programs. Being classified
                 as an embarrassingly parallel technique, GP can
                 theoretically scale up to tackle very diverse problems
                 by increasingly adding computational power to its
                 arsenal. With today's availability of many powerful
                 parallel architectures, a challenge is to take
                 advantage of all those heterogeneous compute devices in
                 a portable and uniform way. This work proposes both (i)
                 a transcription of existing GP parallelisation
                 strategies into the OpenCL programming platform; and
                 (ii) a freely available implementation to evaluate its
                 suitability for GP, by assessing the performance of
                 parallel strategies on the CPU and GPU processors from
                 different vendors. Benchmarks on the symbolic
                 regression and data classification domains were
                 performed. On the GPU we could achieve 13 billion node
                 evaluations per second, delivering almost 10 times the
                 throughput of a twelve-core CPU.",
  notes =        "Genetic Programming in OpenCL Source",
}

Genetic Programming entries for Douglas A Augusto Helio J C Barbosa

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