DeepSense: A GPU-based Deep Convolutional Neural Network Framework on Commodity Mobile Devices

@inproceedings{Huynh2016DeepSenseAG,
  title={DeepSense: A GPU-based Deep Convolutional Neural Network Framework on Commodity Mobile Devices},
  author={Loc Huynh and Rajesh Krishna Balan and Youngki Lee},
  booktitle={WearSys '16},
  year={2016}
}
Recently, a branch of machine learning algorithms called deep learning gained huge attention to boost up accuracy of a variety of sensing applications. However, execution of deep learning algorithm such as convolutional neural network on mobile processor is non-trivial due to intensive computational requirements. In this paper, we present our early design of DeepSense - a mobile GPU-based deep convolutional neural network (CNN) framework. For its design, we first explored the differences… CONTINUE READING
Highly Cited
This paper has 22 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 17 extracted citations

DeepDecision: A Mobile Deep Learning Framework for Edge Video Analytics

IEEE INFOCOM 2018 - IEEE Conference on Computer Communications • 2018
View 4 Excerpts
Highly Influenced

Delivering Deep Learning to Mobile Devices via Offloading

VR/AR Network@SIGCOMM • 2017
View 5 Excerpts
Highly Influenced

Cloud-Based or On-Device: An Empirical Study of Mobile Deep Inference

2018 IEEE International Conference on Cloud Engineering (IC2E) • 2018
View 1 Excerpt

Smart Classrooms Aided by Deep Neural Networks Inference on Mobile Devices

2018 IEEE International Conference on Electro/Information Technology (EIT) • 2018
View 1 Excerpt

Similar Papers

Loading similar papers…