Created by W.Langdon from gp-bibliography.bib Revision:1.2031
@InProceedings{langdon:2010:eurogp,
author = "W. B. Langdon",
title = "A Many Threaded {CUDA} Interpreter for Genetic
Programming",
booktitle = "Proceedings of the 13th European Conference on Genetic
Programming, EuroGP 2010",
year = "2010",
editor = "Anna Isabel Esparcia-Alcazar and Aniko Ekart and
Sara Silva and Stephen Dignum and A. Sima Uyar",
volume = "6021",
series = "LNCS",
pages = "146--158",
address = "Istanbul",
month = "7-9 " # apr,
organisation = "EvoStar",
publisher = "Springer",
keywords = "genetic algorithms, genetic programming, GPU, GPGPU,
Tesla, sub-machine code GP, Reverse Polish Notation",
isbn13 = "978-3-642-12147-0",
URL = "
http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/langdon_2010_eurogp.pdf",
URL = "
http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/langdon_2010_eurogp.ps.gz",
doi = "
doi:10.1007/978-3-642-12148-7_13",
size = "12 pages",
abstract = "A Single Instruction Multiple Thread CUDA interpreter
provides SIMD like parallel evaluation of the whole GP
population of 0.25 million reverse polish notation
(RPN) expressions on GeForce 295 GTX graphics cards and
nVidia Tesla. Using sub-machine code tree GP a sustain
peak performance of 665 billion GP operations per
second (10,000 speed up) and an average of 22 peta GP
ops per day is reported for a single GPU card on a
Boolean induction benchmark never attempted before, let
alone solved.",
notes = "C code available via
http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/gp-code/gp32cuda.tar.gz
Part of \cite{Esparcia-Alcazar:2010:GP} EuroGP'2010
held in conjunction with EvoCOP2010 EvoBIO2010 and
EvoApplications2010",
}
Genetic Programming entries for William B Langdon