Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)

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

Authors
Yang Li, Zhitao Dai
Corresponding Author
Yang Li
Available Online April 2019.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Part of series
Advances in Computer Science Research
Publication Date
April 2019
ISBN
978-94-6252-708-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmeit-19.2019.150How to use a DOI?
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  -