Evolving a CUDA Kernel from an nVidia Template

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@TechReport{langdon:2010:TR-10-07,

• author = "W. B. Langdon and M. Harman",
• title = "Evolving a CUDA Kernel from an nVidia Template",
• institution = "Department of Computer Science, Crest Centre, King's College, London",
• year = "2010",
• number = "TR-10-07",
• address = "Strand, London, WC2R 2LS, UK",
• month = "6 " # jul,
• note = "Invited presentation to the Natural Computing Applications Forum, http://www.ncaf.org.uk, 12-13 July 2010, Surrey University",
• keywords = "genetic algorithms, genetic programming, gipsy, strongly typed genetic programming, grammar, SBSE, software engineering, GPU",
• URL = "http://www.dcs.kcl.ac.uk/technical-reports/papers/TR-10-07.pdf",
• abstract = "We automatically generate an nVidia parallel CUDA graphics card kernel with identical functionality to existing highly optimised ancient sequential C code. Essentially generic GPGPU C++ code supplied by the hardware manufacturer is converted into a BNF grammar. Strongly typed genetic programming uses the BNF to generate compilable and runnable graphics card kernels, which terminate. Their fitness is given by running the population on a GPU against a test suite used to test the original sequential code.",
• size = "2 pages",

}

Genetic Programming entries for William B Langdon Mark Harman

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