Publication Type
Conference Proceeding Article
Publication Date
6-2016
Abstract
In this demo, we show that it is feasible to execute CNN for vision sensing tasks directly on mobile devices by leveraging integrated GPU. We propose our design of DeepSense framework based on OpenCL to execute deep learning algorithms in energy-efficient and fast manner.
Keywords
Mobile GPU, Mobile sensing, Deep learning
Discipline
Computer Sciences | Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
MobiSys '16 Companion: Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services Companion, Singapore, June 26-30, 2016
First Page
111
Last Page
111
ISBN
9781450344166
Identifier
10.1145/2938559.2938577
Publisher
ACM
City or Country
New York
Citation
HUYNH NGUYEN LOC; BALAN, Rajesh Krishna; and LEE, Youngki.
Demo: GPU-based image recognition and object detection on commodity mobile devices. (2016). MobiSys '16 Companion: Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services Companion, Singapore, June 26-30, 2016. 111-111. Research Collection School Of Information Systems.
Available at: https://ink.library.smu.edu.sg/sis_research/3289
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Additional URL
http://dx.doi.org/10.1145/2938559.2938577