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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 achievesdoi:10.1145/2964284.2973801 dblp:conf/mm/OskoueiGHG16 fatcat:kxsw7qyp6jaqrjg25wpvnizxuu