11371

Genetically Improved CUDA C++ Software

W. B. Langdon, M. Harman
CREST, Department of Computer Science, University College London Gower Street, London WC1E 6BT, UK
17th European Conference on Genetic Programming (EuroGP’14), 2014

@article{langdon2014genetically,

   title={Genetically Improved CUDA C++ Software},

   author={Langdon, W. B. and Harman, M.},

   yaer={2014}

}

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Genetic Programming (GP) may dramatically increase the performance of software written by domain experts. GP and autotuning are used to optimise and refactor legacy GPGPU C code for modern parallel graphics hardware and software. Speed ups of more than six times on recent nVidia GPU cards are reported compared to the original kernel on the same hardware.
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