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 GPUaccelerated library, dubbed CNNdroid, for execution of
trained deep CNNs on Android-based mobile devices. Empirical evaluations show that CNNdroid achieves up to 60X
speedup and 130X energy saving on current mobile devices.
The CNNdroid open source library is available for download