Conference Proceeding Article
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.
Mobile GPU, Mobile sensing, Deep learning
Computer Sciences | Software Engineering
Software and Cyber-Physical Systems
MobiSys '16 Companion: Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services Companion, Singapore, June 26-30, 2016
City or Country
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
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