EASEA: a generic optimization tool for GPU machines in asynchronous island model

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

@Article{krueg11ease,
  author =       "Laurent A. Baumes and Frederic Kruger and 
                 Pierre Collet",
  title =        "EASEA: a generic optimization tool for GPU machines in
                 asynchronous island model",
  journal =      "Computer Methods in Materials Science",
  year =         "2011",
  volume =       "11",
  number =       "3",
  pages =        "489--499",
  keywords =     "genetic algorithms, genetic programming, GPGPU,
                 Evolutionary Algorithms, Island Model, Parallelism,
                 Zeolite Materials",
  URL =          "http://icube-publis.unistra.fr/docs/7407/baumes.pdf",
  URL =          "http://www.cmms.agh.edu.pl/abstract.php?p_id=373",
  size =         "11 pages",
  abstract =     "Very recently, we presented an efficient
                 implementation of Evolutionary Algorithms (EAs) using
                 Graphics Processing Units (GPU) for solving microporous
                 crystal structures. Because of both the inherent
                 complexity of zeolitic materials and the constant
                 pressure to accelerate R and D solutions, an
                 asynchronous island model running on clusters of
                 machines equipped with GPU cards, i.e. the current
                 trend for super-computers and cloud computing, is
                 presented. This last improvement of the EASEA platform
                 allows an effortless exploitation of hierarchical
                 massively parallel systems. It is demonstrated that
                 supra-linear speedup over one machine and linear
                 speedup considering clusters of different sizes are
                 obtained. Such an island implementation over several
                 potentially heterogeneous machines opens new horizon
                 for various domains of application where computation
                 time for optimisation remains the principal
                 bottleneck.",
  notes =        "Address LSIIT , Illkirch, FRA",
}

Genetic Programming entries for Laurent Allan Baumes Frederic Kruger Pierre Collet

Citations