%0 Journal Article %1 Fok2007 %A Fok, Ka-Ling %A Wong, Tien-Tsin %A Wong, Man-Leung %D 2007 %J IEEE Intelligent Systems %K computer computing, graphic computing consumer equipment, hardware, computer, evolutionary on graphics algorithms, ubiquitous computation, units, graphics-processing parallel algorithm, card, EP, high-performance SIMD pervasive graphics, genetic scientific GPU, consumer-grade %N 2 %P 69--78 %R doi:10.1109/MIS.2007.28 %T Evolutionary Computing on Consumer Graphics Hardware %U http://ieeexplore.ieee.org/iel5/9670/4136845/04136862.pdf?tp=&isnumber=4136845&arnumber=4136862&punumber=9670 %V 22 %X We propose implementing a parallel EA on consumer graphics cards, which we can find in many PCs. This lets more people use our parallel algorithm to solve large-scale, real-world problems such as data mining. Parallel evolutionary algorithms run on consumer-grade graphics hardware achieve better execution times than ordinary evolutionary algorithms and offer greater accessibility than those run on high-performance computers

@article{Fok2007, abstract = {We propose implementing a parallel EA on consumer graphics cards, which we can find in many PCs. This lets more people use our parallel algorithm to solve large-scale, real-world problems such as data mining. Parallel evolutionary algorithms run on consumer-grade graphics hardware achieve better execution times than ordinary evolutionary algorithms and offer greater accessibility than those run on high-performance computers}, added-at = {2012-01-19T15:17:50.000+0100}, author = {Fok, Ka-Ling and Wong, Tien-Tsin and Wong, Man-Leung}, biburl = {https://www.bibsonomy.org/bibtex/2e3c17065a986b771efcb4b1f6de9a21e/enitsirhc}, doi = {doi:10.1109/MIS.2007.28}, interhash = {c65363d024e77af3eb6d4a0658796df2}, intrahash = {e3c17065a986b771efcb4b1f6de9a21e}, issn = {1541-1672}, journal = {IEEE Intelligent Systems}, keywords = {computer computing, graphic computing consumer equipment, hardware, computer, evolutionary on graphics algorithms, ubiquitous computation, units, graphics-processing parallel algorithm, card, EP, high-performance SIMD pervasive graphics, genetic scientific GPU, consumer-grade}, month = {March-April}, notes = {Chinese Univ. of Hong Kong, Shatin INSPEC Accession Number:9445531 nVidia GeForce 6800 Ultra. GPU wins for populations bigger than 800. Speedup ratio between 0.62 (slower) to 5.02}, number = 2, pages = {69--78}, size = {10 pages}, timestamp = {2012-01-19T15:17:50.000+0100}, title = {Evolutionary Computing on Consumer Graphics Hardware}, url = {http://ieeexplore.ieee.org/iel5/9670/4136845/04136862.pdf?tp=&isnumber=4136845&arnumber=4136862&punumber=9670}, volume = 22, year = 2007 }