Large Scale Bioinformatics Data Mining with Parallel Genetic Programming on Graphics Processing Units

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

@InCollection{langdon:2013:ecgpu,
  author =       "William B. Langdon",
  title =        "Large Scale Bioinformatics Data Mining with Parallel
                 Genetic Programming on Graphics Processing Units",
  booktitle =    "Massively Parallel Evolutionary Computation on
                 {GPGPUs}",
  publisher =    "Springer",
  year =         "2013",
  editor =       "Shigeyoshi Tsutsui and Pierre Collet",
  series =       "Natural Computing Series",
  chapter =      "15",
  pages =        "311--347",
  keywords =     "genetic algorithms, genetic programming, GPU",
  isbn13 =       "978-3-642-37958-1",
  URL =          "http://www.springer.com/computer/ai/book/978-3-642-37958-1",
  DOI =          "doi:10.1007/978-3-642-37959-8_15",
  size =         "36 pages",
  abstract =     "The NCBI GEO GSE3494 breast cancer dataset contains
                 hundreds of Affymetrix HG-U133A and HG-U133B GeneChip
                 biopsies each with a million variables. Multiple
                 genetic programming (GP) runs on a graphics processing
                 unit (GPU) hardware, each with a population of five
                 million programs both winnow (select) useful variables
                 from the chaff and evolve small (three inputs) data
                 models. The SPMD CUDA interpreter exploits the GPU's
                 single instruction multiple data SIMD mode of parallel
                 computing, even though the GP populations contain
                 different programs. A 448 node nVidia Fermi C2050 Tesla
                 graphics card delivers 8.5 giga GPops per second. In
                 addition to describing our implementation, we survey
                 current GPGPU work in bioinformatics and genetic
                 programming.",
  notes =        "

                 Table 3 pages 338-339, gives published speeds in terms
                 of millions of GPops per second of genetic programming
                 on GPUs.",
}

Genetic Programming entries for William B Langdon

Citations