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GPU-Accelerated Non-negative Matrix Factorization for Text Mining

Volodymyr Kysenko, Karl Rupp, Oleksandr Marchenko, Siegfried Selberherr, Anatoly Anisimov
Faculty of Cybernetics, Taras Shevchenko National University of Kyiv, Ukraine
Natural Language Processing and Information Systems, Lecture Notes in Computer Science, Volume 7337/2012, 2012
@article{kysenko2012gpu,

   title={GPU-Accelerated Non-negative Matrix Factorization for Text Mining},

   author={Kysenko, V. and Rupp, K. and Marchenko, O. and Selberherr, S. and Anisimov, A.},

   journal={Natural Language Processing and Information Systems},

   pages={158–163},

   year={2012},

   publisher={Springer}

}

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An implementation of the non-negative matrix factorization algorithm for the purpose of text mining on graphics processing units is presented. Performance gains of more than one order of magnitude are obtained.
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