Langdon, WB and Harrison, AP (2008) 'GP on SPMD parallel graphics hardware for mega Bioinformatics data mining.' Soft Computing, 12 (12). pp. 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 Faculty of Science and Health > Mathematical Sciences, Department of
SWORD Depositor:	Elements
Depositing User:	Elements
Date Deposited:	30 Sep 2011 10:23
Last Modified:	15 Jan 2022 00:28
URI:	http://repository.essex.ac.uk/id/eprint/831

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