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Publication Detail
Initial experiences of the Emerald: e-Infrastructure South GPU supercomputer
  • Publication Type:
    Report
  • Authors:
    Langdon WB
  • publication date:
    17/06/2012
  • Place of publication:
    Department of Computer Science, University College London
  • Report number:
    RN/12/08
  • Notes:
    keywords: genetic algorithms, genetic programming, GPGPU, nVidia CUDA, Fermi Tesla M2090, parallel computing, LSF, unix, Bioinformatics, data mining, gismo, Affymetrix HG-U133A and HG-U133B, GSE3494, evolutionary computation size: 8 pages notes: Updated by \citelangdon_2012_sigevolution cites \citelangdon:2013:ecgpu \citelangdon:2008:SC, \citelangdon:2004:GPEM. breast bench mark cancer data http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/gp-code/GSE3494
Abstract
The Emerald supercomputer contains more than a thousand CPU cores and several hundred nVidia Tesla. A genetic programming GeneChip datamining application which searches for non-linear gene based prediction of long term survival following breast cancer surgery was transferred without change and run on part of the Emerald cluster. At 7 giga GPop/S it is the fastest ever genetic programming application of this type.
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