1.9k citations · 2.4k across the 10 of their papers we have counts for
4 papers · 1 filter
Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Networks
Hardik Sharma, Jongse Park, Naveen Suda +5
Fully realizing the potential of acceleration for Deep Neural Networks (DNNs) requires understanding and leveraging algorithmic properties. This paper builds upon the algorithmic i…
Hello Edge: Keyword Spotting on Microcontrollers
Yundong Zhang, Naveen Suda, Liangzhen Lai +1
Keyword spotting (KWS) is a critical component for enabling speech based user interactions on smart devices. It requires real-time response and high accuracy for good user experien…
PrivyNet: A Flexible Framework for Privacy-Preserving Deep Neural Network Training
Meng Li, Liangzhen Lai, Naveen Suda +2
Massive data exist among user local platforms that usually cannot support deep neural network (DNN) training due to computation and storage resource constraints. Cloud-based traini…
Deep Convolutional Neural Network Inference with Floating-point Weights and Fixed-point Activations
Liangzhen Lai, Naveen Suda, Vikas Chandra
Deep convolutional neural network (CNN) inference requires significant amount of memory and computation, which limits its deployment on embedded devices. To alleviate these problem…