Please use this identifier to cite or link to this item:
http://repositorio.inesctec.pt/handle/123456789/4311| 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). |
| URI: | http://repositorio.inesctec.pt/handle/123456789/4311 http://dx.doi.org/10.1145/2695664.2695850 |
| metadata.dc.type: | conferenceObject Publication |
| Appears in Collections: | CRACS - Articles in International Conferences LIAAD - Articles in International Conferences |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| P-00G-SXH.pdf | 1.09 MB | Adobe PDF | View/Open |
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