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Accelerating Recommender Systems using GPUs

Information Retrieval 2015-11-10 v1 Distributed, Parallel, and Cluster Computing
Authors: André Valente Rodrigues , Alípio Jorge , Inês Dutra
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Abstract

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).

Keywords

gpu computing large language model inference fpga accelerator

Cite

@article{arxiv.1511.02433,
  title  = {Accelerating Recommender Systems using GPUs},
  author = {André Valente Rodrigues and Alípio Jorge and Inês Dutra},
  journal= {arXiv preprint arXiv:1511.02433},
  year   = {2015}
}

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