Demo: GPU-based image recognition and object detection on commodity mobile devices

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.

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Main Authors:	HUYNH, Loc Nguyen, BALAN, Rajesh Krishna, LEE, Youngki
Format:	text
Language:	English
Published:	Institutional Knowledge at Singapore Management University 2016
Subjects:	Mobile GPU Mobile sensing Deep learning Computer Sciences Software Engineering
Online Access:	https://ink.library.smu.edu.sg/sis_research/3289 https://ink.library.smu.edu.sg/context/sis_research/article/4291/viewcontent/demo_GPU_based.pdf
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Institution:	Singapore Management University
Language:	English

id	sg-smu-ink.sis_research-4291
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spelling	sg-smu-ink.sis_research-42912018-12-19T06:48:13Z Demo: GPU-based image recognition and object detection on commodity mobile devices HUYNH, Loc Nguyen BALAN, Rajesh Krishna LEE, Youngki 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. 2016-06-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/3289 info:doi/10.1145/2938559.2938577 https://ink.library.smu.edu.sg/context/sis_research/article/4291/viewcontent/demo_GPU_based.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Mobile GPU Mobile sensing Deep learning Computer Sciences Software Engineering
institution	Singapore Management University
building	SMU Libraries
continent	Asia
country	Singapore Singapore
content_provider	SMU Libraries
collection	InK@SMU
language	English
topic	Mobile GPU Mobile sensing Deep learning Computer Sciences Software Engineering
spellingShingle	Mobile GPU Mobile sensing Deep learning Computer Sciences Software Engineering HUYNH, Loc Nguyen BALAN, Rajesh Krishna LEE, Youngki Demo: GPU-based image recognition and object detection on commodity mobile devices
description	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.
format	text
author	HUYNH, Loc Nguyen BALAN, Rajesh Krishna LEE, Youngki
author_facet	HUYNH, Loc Nguyen BALAN, Rajesh Krishna LEE, Youngki
author_sort	HUYNH, Loc Nguyen
title	Demo: GPU-based image recognition and object detection on commodity mobile devices
title_short	Demo: GPU-based image recognition and object detection on commodity mobile devices
title_full	Demo: GPU-based image recognition and object detection on commodity mobile devices
title_fullStr	Demo: GPU-based image recognition and object detection on commodity mobile devices
title_full_unstemmed	Demo: GPU-based image recognition and object detection on commodity mobile devices
title_sort	demo: gpu-based image recognition and object detection on commodity mobile devices
publisher	Institutional Knowledge at Singapore Management University
publishDate	2016
url	https://ink.library.smu.edu.sg/sis_research/3289 https://ink.library.smu.edu.sg/context/sis_research/article/4291/viewcontent/demo_GPU_based.pdf
_version_	1770573075971047424

Demo: GPU-based image recognition and object detection on commodity mobile devices

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