Graphics Processing Units and Genetic Programming: An overview
CREST centre, Department of Computer Science, University College, London, Gower Street, London, WC1E 6BT, UK
Soft Computing. Accepted on 26-01-2011
@article{langdongraphics,
title={Graphics Processing Units and Genetic Programming: An overview},
author={Langdon, WB},
year={2011}
}
A top end graphics card (GPU) plus a suitable SIMD interpreter, can deliver a several hundred fold speed up, yet cost less than the computer holding it. We give highlights of AI and computational intelligence applications in the new field of general purpose computing on graphics hardware (GPGPU). In particular we survey genetic programming (GP) use with GPU. We give several applications from Bioinformatics and show how the fastest GP is based on an interpreter rather than compilation. Finally using GP to generate GPU CUDA kernel C++ code is sketched.
February 15, 2011 by hgpu
