Deep neural networks (DNNs) have recently achieved impressive success across a wide
range of real-world vision and language processing tasks, spanning from image …

In this paper, we propose TECO, a multi-dimensional pruning framework to collaboratively
prune the three dimensions (depth, width, and resolution) of convolutional neural networks …

Crossbar-based In-Memory Processing (IMP) accelerators have been widely adopted to
achieve high-speed and low-power computing, especially for deep neural network (DNN) …

On Hardware-Aware Design and Optimization of Edge Intelligence Page 1 On Hardware-Aware
Design and Optimization of Edge Intelligence Shuo Huai∗†, Hao Kong∗†, Xiangzhong Luo∗ …

Deep Neural Networks (DNNs) have made significant advancements in various domains,
including computer vision (CV), natural language processing (NLP), etc. With the Internet of …

Deep neural networks (DNNs) have achieved remarkable results and have become the
mainstay of many applications including autonomous driving and emerging AI-enabled …