Design and Implementation of Hardware Accelerator for Recommendation System based on Heterogeneous Computing Platform
Yang Li, Zhitao Dai
Available Online April 2019.
- https://doi.org/10.2991/icmeit-19.2019.150How to use a DOI?
- heterogeneous computing platform, Recommendation System.
- This study takes advantage of the combination of heterogeneous platform control and computing power, and optimizes the parallelization of the popular collaborative filtering recommendation algorithm. Compared with the traditional algorithm, the speedup has a certain degree of improvement and power consumption has also declined as well.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Yang Li AU - Zhitao Dai PY - 2019/04 DA - 2019/04 TI - Design and Implementation of Hardware Accelerator for Recommendation System based on Heterogeneous Computing Platform PB - Atlantis Press SP - 950 EP - 955 SN - 2352-538X UR - https://doi.org/10.2991/icmeit-19.2019.150 DO - https://doi.org/10.2991/icmeit-19.2019.150 ID - Li2019/04 ER -