- title = "A {SIMD} Interpreter for Genetic Programming on {GPU} Graphics Cards",
- author = "William B. Langdon and Wolfgang Banzhaf",
- booktitle = "Proceedings of the 11th European Conference on Genetic Programming, EuroGP 2008",
- editor = "Michael O'Neill and Leonardo Vanneschi and Steven Gustafson and Anna Isabel {Esparcia Alcazar} and Ivanoe {De Falco} and Antonio {Della Cioppa} and Ernesto Tarantino",
- year = "2008",
- address = "Naples",
- month = "26-28 " # mar,
- publisher = "Springer",
- series = "Lecture Notes in Computer Science",
- volume = "4971",
- pages = "73--85",
- keywords = "genetic algorithms, genetic programming, GPU, parallel computing architecture",
- isbn13 = "978-3-540-78670-2",
- bibdate = "2008-04-15",
- bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/eurogp/eurogp2008.html#LangdonB08",
- URL = "
http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/langdon_2008_eurogp.pdf", - DOI = "
doi:10.1007/978-3-540-78671-9_7", - video_url = "
https://www.youtube.com/watch?v=yEug4ODkDTk", - code_url = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/gp-code/",
- size = "13 pages",
- abstract = "Mackey-Glass chaotic time series prediction and nuclear protein classification show the feasibility of evaluating genetic programming populations directly on parallel consumer gaming graphics processing units. Using a Linux KDE computer equipped with an nVidia GeForce 8800 GTX graphics processing unit card the C++ SPMD interpretter evolves programs at giga GP operation per second (895 million GPops). We use the RapidMind general processing on GPU (GPGPU) framework to evaluate an entire population of a quarter of a million individual programs on a non-trivial problem in 4 seconds. An efficient reverse polish notation (RPN) tree based GP is given.",
- notes = "also known as \cite{conf/eurogp/LangdonB08}
Memorial University
Animation http://www.cs.ucl.ac.uk/staff/W.Langdon/pi2_movie.html
Code http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/gp-code/
Part of \cite{conf/eurogp/2008} EuroGP'2008 held in conjunction with EvoCOP2008, EvoBIO2008 and EvoWorkshops2008",
