Evolving gzip matches Kernel from an nVidia CUDA Template
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @TechReport{langdon:TR-10-02,
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author = "W. B. Langdon and M. Harman",
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title = "Evolving gzip matches Kernel from an {nVidia CUDA}
Template",
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institution = "Department of Computer Science, King's College
London",
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year = "2010",
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number = "TR-10-02",
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address = "London, WC2R 2LS, UK",
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month = "5 " # feb,
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keywords = "genetic algorithms, genetic programming, GIP,
automatic coding, GPU, gpgpu, Genetic Interface
Programming, SIR, gawk, strongly typed genetic
programming, BNF grammar",
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URL = "http://www.dcs.kcl.ac.uk/technical-reports/papers/TR-10-02.pdf",
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size = "15 pages",
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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.",
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notes = "See \cite{langdon:2010:cigpu}",
- }
Genetic Programming entries for
William B Langdon
Mark Harman
Citations