Design and Implementation of Hardware Accelerator for Recommendation System based on Heterogeneous Computing Platform

DOI

10.2991/icmeit-19.2019.150How to use a DOI?

Keywords

heterogeneous computing platform, Recommendation System.

Abstract

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.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

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
BT  - Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)
PB  - Atlantis Press
SP  - 950
EP  - 955
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-19.2019.150
DO  - 10.2991/icmeit-19.2019.150
ID  - Li2019/04
ER  -