Seyyed Salar Latifi Oskouei, Hossein Golestani, Matin Hashemi, Soheil Ghiasi
2016 Proceedings of the 2016 ACM on Multimedia Conference - MM '16  
Many mobile applications running on smartphones and wearable devices would potentially benefit from the accuracy and scalability of deep CNN-based machine learning algorithms. However, performance and energy consumption limitations make the execution of such computationally intensive algorithms on mobile devices prohibitive. We present a GPU-accelerated library, dubbed CNNdroid, for execution of trained deep CNNs on Android-based mobile devices. Empirical evaluations show that CNNdroid achieves
more » ... up to 60X speedup and 130X energy saving on current mobile devices. The CNNdroid open source library is available for download at
doi:10.1145/2964284.2973801 dblp:conf/mm/OskoueiGHG16 fatcat:kxsw7qyp6jaqrjg25wpvnizxuu