- author = "W. B. Langdon",
- title = "Initial experiences of the Emerald: e-Infrastructure South {GPU} supercomputer",
- institution = "Department of Computer Science, University College London",
- year = "2012",
- type = "Research Note",
- number = "RN/12/08",
- address = "Gower Street, London WC1E 6BT, UK",
- month = "17 " # jun,
- 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",
-
URL = "
http://www.cs.ucl.ac.uk/fileadmin/UCL-CS/research/Research_Notes/RN_12_08.pdf",
-
data_url = "
http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/gp-code/GSE3494",
- size = "8 pages",
- 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.",
-
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",
