14951

Accelerating Recommender Systems using GPUs

Andre Valente Rodrigues, Alipio Jorge, Ines Dutra
LIAAD – INESC TEC, DCC – University of Porto
arXiv:1511.02433 [cs.IR], (8 Nov 2015)

@article{rodrigues2015accelerating,

   title={Accelerating Recommender Systems using GPUs},

   author={Rodrigues, Andre Valente and Jorge, Alipio and Dutra, Ines},

   year={2015},

   month={nov},

   archivePrefix={"arXiv"},

   primaryClass={cs.IR},

   doi={10.1145/2695664.2695850}

}

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We describe GPU implementations of the matrix recommender algorithms CCD++ and ALS. We compare the processing time and predictive ability of the GPU implementations with existing multi-core versions of the same algorithms. Results on the GPU are better than the results of the multi-core versions (maximum speedup of 14.8).
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