Evolving gzip matches Kernel from an nVidia CUDA Template

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

@TechReport{langdon:TR-10-02,

• author = "W. B. Langdon and M. Harman",
• title = "Evolving gzip matches Kernel from an {nVidia CUDA} Template",
• institution = "Department of Computer Science, King's College London",
• year = "2010",
• number = "TR-10-02",
• address = "London, WC2R 2LS, UK",
• month = "5 " # feb,
• keywords = "genetic algorithms, genetic programming, GIP, automatic coding, GPU, gpgpu, Genetic Interface Programming, SIR, gawk, strongly typed genetic programming, BNF grammar",
• URL = "http://www.dcs.kcl.ac.uk/technical-reports/papers/TR-10-02.pdf",
• size = "15 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 = "See \cite{langdon:2010:cigpu}",

}

Genetic Programming entries for William B Langdon Mark Harman

Citations