Evolving a CUDA Kernel from an nVidia Template

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{langdon:2010:cigpu,

• author = "W. B. Langdon and M. Harman",
• title = "Evolving a {CUDA} Kernel from an {nVidia} Template",
• booktitle = "2010 IEEE World Congress on Computational Intelligence",
• year = "2010",
• editor = "Pilar Sobrevilla",
• pages = "2376--2383",
• address = "Barcelona",
• month = "18-23 " # jul,
• organisation = "IEEE Computational Intelligence Society",
• publisher = "IEEE",
• keywords = "genetic algorithms, genetic programming, GPU, grammar, gzip",
• isbn13 = "978-1-4244-6910-9",
• URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/langdon_2010_cigpu.pdf",
• URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/langdon_2010_cigpu.ps.gz",
• DOI = "doi:10.1109/CEC.2010.5585922",
• code_url = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/gp-code/langdon_2010_cigpu.tar.gz",
• size = "8 pages",
• abstract = "Rather than attempting to evolve a complete program from scratch we demonstrate genetic interface programming by automatically generating a parallel CUDA kernel with identical functionality to existing highly optimised ancient sequential C code. Generic GPGPU nVidia kernel C++ code is converted into a BNF grammar. Strongly typed genetic programming uses the BNF to generate compilable and executable graphics card kernels. Their fitness is given by running the population on a GPU with randomised subsets of training data itself given by running the original code's test suite.",
• notes = "BNF grammar and training examples http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/gp-code/langdon_2010_cigpu.tar.gz WCCI 2010. CEC 2010. Also known as \cite{5585922} Cited by \cite{Langdon:2016:GPEM}",

}

Genetic Programming entries for William B Langdon Mark Harman

Citations