278 citations · 392 across the 10 of their papers we have counts for
3 papers · 1 filter
Cappuccino: Efficient Inference Software Synthesis for Mobile System-on-Chips
Mohammad Motamedi, Daniel Fong, Soheil Ghiasi
Convolutional Neural Networks (CNNs) exhibit remarkable performance in various machine learning tasks. As sensor-equipped Internet of Things (IoT) devices permeate into every aspec…
Fast and Energy-Efficient CNN Inference on IoT Devices
Mohammad Motamedi, Daniel Fong, Soheil Ghiasi
Convolutional Neural Networks (CNNs) exhibit remarkable performance in various machine learning tasks. As sensor-equipped internet of things (IoT) devices permeate into every aspec…
CNNdroid: GPU-Accelerated Execution of Trained Deep Convolutional Neural Networks on Android
Seyyed Salar Latifi Oskouei, Hossein Golestani, Matin Hashemi +1
Many mobile applications running on smartphones and wearable devices would potentially benefit from the accuracy and scalability of deep CNN-based machine learning algorithms. Howe…