Grow and Graft a better CUDA pknotsRG for RNA pseudoknot free energy calculation

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  author =       "William B. Langdon and Mark Harman",
  title =        "Grow and Graft a better {CUDA pknotsRG} for {RNA}
                 pseudoknot free energy calculation",
  booktitle =    "Genetic Improvement 2015 Workshop",
  year =         "2015",
  editor =       "William B. Langdon and Justyna Petke and 
                 David R. White",
  pages =        "805--810",
  organisation = "SIGEVO",
  address =      "Madrid",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  keywords =     "genetic algorithms, genetic programming, genetic
                 improvement, SBSE, BNF grammar, GPGPU, Bioinformatics,
                 Software engineering, Artificial Intelligence,
                 Automatic Programming",
  month =        "11-15 " # jul,
  isbn13 =       "978-1-4503-3488-4",
  URL =          "",
  URL =          "",
  URL =          "",
  DOI =          "doi:10.1145/2739482.2768418",
  size =         "6 pages",
  abstract =     "Grow and graft genetic programming greatly improves
                 GPGPU dynamic programming software for predicting the
                 minimum binding energy for folding of RNA molecules.
                 The parallel code inserted into the existing CUDA
                 version of pknots was grown using a BNF grammar. On an
                 nVidia Tesla K40 GPU GGGP gives a speed up of up to
                 10000 times.",
  notes =        " Cited by



                 GECCO-2015 A joint meeting of the twenty fourth
                 international conference on genetic algorithms
                 (ICGA-2015) and the twentieth annual genetic
                 programming conference (GP-2015).

                 Also known as \cite{2768418} Distributed at

Genetic Programming entries for William B Langdon Mark Harman