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Speedups between x70 and x120 for a generic local search (memetic) algorithm on a single GPGPU chip

Frederic Kruger, Ogier Maitre, Santiago Jimenez, Laurent Baumes and Pierre Collet
LSIIT – UMR 7005, Pole API, Bd Sebastien Brant, 67400 Illkirch – France
Applications of Evolutionary Computation, Lecture Notes in Computer Science, 2010, Volume 6024/2010, 501-511

@article{kruger2010speedups,

   title={Speedups between$times$ 70 and$times$ 120 for a Generic Local Search (Memetic) Algorithm on a Single GPGPU Chip},

   author={Kr{\”u}ger, F. and Maitre, O. and Jim{‘e}nez, S. and Baumes, L. and Collet, P.},

   journal={Applications of Evolutionary Computation},

   pages={501–511},

   year={2010},

   publisher={Springer}

}

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This paper presents the first implementation of a generic memetic algorithm on one of the two GPU (Graphic Processing Unit) chips of a GTX295 gaming card. Observed speedups range between x70 and x120, mainly depending on the population size. An automatic parallelization of a memetic algorithm is provided through an upgrade of the EASEA language, so that the EC community can benefit from the extraordinary power of these cards without needing to program them.
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