2852

Evolving gzip matches Kernel from an nVidia CUDA Template

W. B. Langdon and M. Harman
CREST centre, Department of Computer Science, King’s College, London, WC2R 2LS, UK
Technical report TR-10-02, 5 Feb 2010, Department of Computer Science, King’s College, London

@techreport{langdon2010evolving,

   title={Evolving gzip matches kernel from an nVidia CUDA template},

   author={Langdon, WB and Harman, M.},

   year={2010},

   institution={Citeseer}

}

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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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