- 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",
-
code_url = "
http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/gp-code/gp32cuda.tar.gz",
- 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
11-mux, 20-mux, 37-Mux, multiplexer.
Part of \cite{Esparcia-Alcazar:2010:GP} EuroGP'2010 held in conjunction with EvoCOP2010 EvoBIO2010 and EvoApplications2010",
