Enabling efficient edge intelligence: a hardware-software codesign approach

by Huai, Shuo
Published 2023

An efficient gustavson-based sparse matrix-matrix multiplication accelerator on embedded FPGAs

by Li, Shiqing, Huai, Shuo, Liu, Weichen
Published 2023

HSCoNAS : hardware-software co-design of efficient DNNs via neural architecture search

by Luo, Xiangzhong, Liu, Di, Huai, Shuo, Liu, Weichen
Published 2022

iMAT: energy-efficient in-memory acceleration for ternary neural networks with sparse dot product

by Zhu, Shien, Huai, Shuo, Xiong, Guochu, Liu, Weichen
Published 2023

ZeroBN : learning compact neural networks for latency-critical edge systems

by Huai, Shuo, Zhang, Lei, Liu, Di, Liu, Weichen, Subramaniam, Ravi
Published 2022

LAMP: load-balanced multipath parallel transmission in point-to-point NoCs

by Chen, Hui, Chen, Peng, Luo, Xiangzhong, Huai, Shuo, Liu, Weichen
Published 2022

Crossbar-aligned & integer-only neural network compression for efficient in-memory acceleration

by Huai, Shuo, Liu, Di, Luo, Xiangzhong, Chen, Hui, Liu, Weichen, Subramaniam, Ravi
Published 2023

Work-in-progress: what to expect of early training statistics? An investigation on hardware-aware neural architecture search

by Luo, Xiangzhong, Liu, Di, Kong, Hao, Huai, Shuo, Chen, Hui, Liu, Weichen
Published 2023

MUGNoC: a software-configured multicast-unicast-gather NoC for accelerating CNN dataflows

by Chen, Hui, Liu, Di, Li, Shiqing, Huai, Shuo, Luo, Xiangzhong, Liu, Weichen
Published 2023

SurgeNAS: a comprehensive surgery on hardware-aware differentiable neural architecture search

by Luo, Xiangzhong, Liu, Di, Kong, Hao, Huai, Shuo, Chen, Hui, Liu, Weichen
Published 2023

Designing efficient DNNs via hardware-aware neural architecture search and beyond

by Luo, Xiangzhong, Liu, Di, Huai, Shuo, Kong, Hao, Chen, Hui, Liu, Weichen
Published 2022

You only search once: on lightweight differentiable architecture search for resource-constrained embedded platforms

by Luo, Xiangzhong, Liu, Di, Kong, Hao, Huai, Shuo, Chen, Hui, Liu, Weichen
Published 2023

Latency-constrained DNN architecture learning for edge systems using zerorized batch normalization

by Huai, Shuo, Liu, Di, Kong, Hao, Liu, Weichen, Subramaniam, Ravi, Makaya, Christian, Lin, Qian
Published 2023

Collate: collaborative neural network learning for latency-critical edge systems

by Huai, Shuo, Liu, Di, Kong, Hao, Luo, Xiangzhong, Liu, Weichen, Subramaniam, Ravi, Makaya, Christian, Lin, Qian
Published 2023

EvoLP: self-evolving latency predictor for model compression in real-time edge systems

by Huai, Shuo, Kong, Hao, Li, Shiqing, Luo, Xiangzhong, Subramaniam, Ravi, Makaya, Christian, Lin, Qian, Liu, Weichen
Published 2023

CRIMP: compact & reliable DNN inference on in-memory processing via crossbar-aligned compression and non-ideality adaptation

by Huai, Shuo, Kong, Hao, Luo, Xiangzhong, Li, Shiqing, Subramaniam, Ravi, Makaya, Christian, Lin, Qian, Liu, Weichen
Published 2023

On hardware-aware design and optimization of edge intelligence

by Huai, Shuo, Kong, Hao, Luo, Xiangzhong, Liu, Di, Subramaniam, Ravi, Makaya, Christian, Lin, Qian, Liu, Weichen
Published 2023

Smart scissor: coupling spatial redundancy reduction and CNN compression for embedded hardware

by Kong, Hao, Liu, Di, Huai, Shuo, Luo, Xiangzhong, Liu, Weichen, Subramaniam, Ravi, Makaya, Christian, Lin, Qian
Published 2023

Towards efficient convolutional neural network for embedded hardware via multi-dimensional pruning

by Kong, Hao, Liu, Di, Luo, Xiangzhong, Huai, Shuo, Subramaniam, Ravi, Makaya, Christian, Lin, Qian, Liu, Weichen
Published 2023

EdgeCompress: coupling multi-dimensional model compression and dynamic inference for EdgeAI

by Kong, Hao, Liu, Di, Huai, Shuo, Luo, Xiangzhong, Subramaniam, Ravi, Makaya, Christian, Lin, Qian, Liu, Weichen
Published 2023