Accelerating recommender systems using GPUs

  title={Accelerating recommender systems using GPUs},
  author={Andr{\'e} Valente Rodrigues and Al{\'i}pio M{\'a}rio Jorge and In{\^e}s de Castro Dutra},
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). 
Related Discussions
This paper has been referenced on Twitter 2 times. VIEW TWEETS

From This Paper

Figures, tables, and topics from this paper.


Publications citing this paper.
Showing 1-5 of 5 extracted citations


Publications referenced by this paper.

Parallel matrix factorization for recommender systems

Knowledge and Information Systems • 2013
View 9 Excerpts
Highly Influenced

Similar Papers

Loading similar papers…