Created by W.Langdon from gp-bibliography.bib Revision:1.1944
@Article{langdon:2008:SC,
author = "W. B. Langdon and A. P. Harrison",
title = "{GP} on {SPMD} parallel Graphics Hardware for mega
Bioinformatics Data Mining",
journal = "Soft Computing",
year = "2008",
volume = "12",
number = "12",
pages = "1169--1183",
month = oct,
note = "Special Issue on Distributed Bioinspired Algorithms",
keywords = "genetic algorithms, genetic programming, breast
cancer, decorin, C17orf81, S-adenosylhomocysteine
hydrolase, fibulin 1, Lance Miller's Uppsala GEO
GSE3494 tumour biopsy, Affymetrix HG-U133A, HG-U133B,
data mining, consumer graphics hardware, GPU, Graphics
Processing Unit, SIMD, parallel computing, genetic
programming, soft computing, evolutionary algorithm,
RapidMind Ubuntu GCC C++",
URL = "
http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/langdon_2008_SC.pdf",
URL = "
http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/langdon_2008_SC.ps.gz",
doi = "
doi:10.1007/s00500-008-0296-x",
size = "11 pages",
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.",
notes = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/gp-code/gpu_gp_2.tar.gz",
}
Genetic Programming entries for William B Langdon A P Harrison