@inproceedings{8885e8b15c07476ca5054722233cc57c,
title = "COUPLE: Accelerating Video Analytics on Heterogeneous Mobile Processors",
abstract = "Deep learning has achieved tremendous success in various fields, but its significant computational demands make inference on mobile devices extremely challenging. To address this issue, we propose the COUPLE system, which enables heterogeneous processors to collaborate on mobile devices for accelerating video analytics. Additionally, we design the Co-Optimize strategy which utilizes the inference results of GPU to mitigate the accuracy loss caused by DSP. Experimental results demonstrate that COUPLE can improve the inference Average Precision by up to 5\% compared to existing solutions.",
keywords = "deep learning, heterogeneous processors, mobile devices",
author = "Hao Bao and Zhi Zhou and Jiajie Xie and Qianyi Huang and Fei Xu and Xu Chen",
note = "Publisher Copyright: {\textcopyright} 2023 ACM.; 29th Annual International Conference on Mobile Computing and Networking, MobiCom 2023 ; Conference date: 02-10-2023 Through 06-10-2023",
year = "2023",
month = oct,
day = "2",
doi = "10.1145/3570361.3615749",
language = "英语",
series = "Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM",
publisher = "Association for Computing Machinery",
pages = "1552--1554",
booktitle = "Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, ACM MobiCom 2023",
address = "美国",
}