Created by W.Langdon from gp-bibliography.bib Revision:1.1360
@InProceedings{langdon:2008:eurogp, author = "W. B. Langdon and Wolfgang Banzhaf", title = "A {SIMD} interpreter for Genetic Programming on {GPU} Graphics Cards", booktitle = "EuroGP", year = "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", volume = "4971", series = "LNCS", pages = "73--85", address = "Naples", month = "26-28 " # mar, publisher = "Springer", keywords = "genetic algorithms, genetic programming, GPU, parallel computing architecture", isbn13 = "978-3-540-78670-2", 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", 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 = "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/gpu_gp_1.tar.gz", }
Genetic Programming entries for William B Langdon Wolfgang Banzhaf