Improved CUDA 3D Medical Image Registration

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

@Misc{Langdon:2014:ukmac,
  author =       "W. B. Langdon",
  title =        "Improved {CUDA} {3D} Medical Image Registration",
  booktitle =    "UK Many-Core Developer Conference 2014 - UKMAC 2014",
  editor =       "Mike Giles and Paul Kelly and Simon McIntosh-Smith and 
                 Graham Pullan and Filippo Spiga and David Thomas",
  year =         "2014",
  month =        "15 " # dec,
  address =      "Cambridge",
  keywords =     "genetic algorithms, genetic programming, SBSE, GPGPU,
                 NiftyReg",
  URL =          "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/Langdon_2014_ukmac.pdf",
  size =         "1 page",
  abstract =     "A combination of manual and genetic improvement (GI)
                 can optimise a critical component of NiftyReg
                 healthcare industry software across a diverse range of
                 six nVidia graphics processing units (GPUs). The
                 improved K20c kernel gives a speed up >2000 fold
                 compared to released code on a 3GHz CPU",
  notes =        "http://www.many-core.group.cam.ac.uk/ukmac2014/

                 One page summary of \cite{Langdon:2014:GECCO} but
                 emphasis on result rather than GP.",
}

Genetic Programming entries for William B Langdon

Citations