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Publication Detail
Distilling GeneChips with Genetic Programming on the Emerald GPU supercomputer
  • Publication Type:
    Journal article
  • Publication Sub Type:
    JOUR
  • Authors:
    Langdon WB
  • Publication date:
    25/07/2012
  • Pagination:
    15, 21
  • Journal:
    SIGEvolution newsletter of the ACM Special Interest Group on Genetic and Evolutionary Computation
  • Volume:
    6
  • Issue:
    1
  • Notes:
    keywords: genetic algorithms, genetic programming, parallel computing, evolutionary computation, deme non-panmictic GP, Bioinformatics, data mining, tumor biopsy, Affymetrix HG-U133A and HG-U133B, GSE3494, unix, NFS, Load Sharing Facility (LSF) LSB, Fermi Tesla, InfiniBand, fat-tree network. size: 7 pages notes: Extends \citeLangdon:2012:emerald. Slides http://www.cs.ucl.ac.uk/staff/W.Langdon/emerald/langdon_emerald_breast_cancer.pdf
Abstract
The Emerald supercomputer contains 1008 x86 CPU cores and 372 nVidia M2090 Tesla. A CUDA GPGPU genetic programming GeneChip datamining application which searches for non-linear gene expression based prediction of long term survival following breast cancer surgery was transferred without change and run on part of the Emerald cluster. An average of 33 giga GPopS was achieved.
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