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Title: Accelerating Recommender Systems using GPUs
Authors: André Valente Rodrigues
Alípio Jorge
Inês Dutra
Issue Date: 2015
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).
metadata.dc.type: conferenceObject
Appears in Collections:CRACS - Indexed Articles in Conferences
LIAAD - Indexed Articles in Conferences

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