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GP on SPMD parallel graphics hardware for mega bioinformatics data mining

Langdon, WB and Harrison, AP (2008) 'GP on SPMD parallel graphics hardware for mega bioinformatics data mining.' Soft Computing, 12 (12). 1169 - 1183. ISSN 1432-7643

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Abstract

We demonstrate a SIMD C++ genetic programming system on a single 128 node parallel nVidia GeForce 8800 GTX GPU under RapidMind's GPGPU Linux software by predicting ten year+ outcome of breast cancer from a dataset containing a million inputs. NCBI GEO GSE3494 contains hundreds of Affymetrix HG-U133A and HG-U133B GeneChip biopsies. Multiple GP runs each with a population of 5 million programs winnow useful variables from the chaff at more than 500 million GPops per second. Sources available via FTP. © Springer-Verlag 2008.

Item Type: Article
Subjects: Q Science > QA Mathematics
Q Science > QH Natural history > QH301 Biology
Divisions: Faculty of Science and Health > Mathematical Sciences, Department of
Depositing User: Jim Jamieson
Date Deposited: 30 Sep 2011 10:23
Last Modified: 23 Jan 2019 00:17
URI: http://repository.essex.ac.uk/id/eprint/831

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