Initial experiences of the Emerald: e-Infrastructure South GPU supercomputer
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @TechReport{Langdon:2012:emerald,
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author = "W. B. Langdon",
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title = "Initial experiences of the Emerald: e-Infrastructure
South {GPU} supercomputer",
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institution = "Department of Computer Science, University College
London",
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year = "2012",
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type = "Research Note",
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number = "RN/12/08",
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address = "Gower Street, London WC1E 6BT, UK",
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month = "17 " # jun,
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keywords = "genetic algorithms, genetic programming, GPGPU, nVidia
CUDA, Fermi Tesla M2090, parallel computing, LSF, unix,
Bioinformatics, data mining, gi-smo, Affymetrix
HG-U133A and HG-U133B, GSE3494, evolutionary
computation",
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URL = "http://www.cs.ucl.ac.uk/fileadmin/UCL-CS/research/Research_Notes/RN_12_08.pdf",
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data_url = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/gp-code/GSE3494",
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size = "8 pages",
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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/second it is the
fastest ever genetic programming application of this
type.",
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notes = "Updated by \cite{langdon_2012_sigevolution} cites
\cite{langdon:2013:ecgpu} \cite{langdon:2008:SC},
\cite{langdon:2004:GPEM}. breast bench mark cancer
data
http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/gp-code/GSE3494
Raw data
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=gse3494",
- }
Genetic Programming entries for
William B Langdon
Citations