Hardware-efficient Pruning

Hardware-Efficient Pruning is a model compression technique that systematically reduces neural network redundancy by removing less critical parameters or structures in a manner specifically optimized to enhance computational efficiency, reduce memory footprint, and accelerate inference on targeted hardware platforms.

104

Publications

5.8K

Citations

450

Authors

146

Institutions

Publications per year

2017–2026

Parents

Pruning Intensity

Publications

104

Structured Pruning of Deep Convolutional Neural Networks

Sajid Anwar, Kyuyeon Hwang, Wonyong Sung · ACM Journal on Emerging Technologies in Computing Systems · 2017 · 717 citations

Computing, Computer Engineering, Computer Science +15

Scalpel

Jiecao Yu, Andrew Lukefahr, David J. Palframan et al. · 2017 · 294 citations · Full text

Computing, Computer Engineering, Computer Science +17

Exploring the Regularity of Sparse Structure in Convolutional Neural Networks

Huizi Mao, Song Han, Jeff Pool et al. · arXiv (Cornell University) · 2017 · 230 citations · Full text

Computing, Computer Engineering, Computer Science +16

C-LSTM

Shuo Wang, Zhe Li, Caiwen Ding et al. · 2018 · 226 citations · Full text

Engineering, Computer Engineering, Computer Science +17

Cambricon-S: Addressing Irregularity in Sparse Neural Networks through A Cooperative Software/Hardware Approach

Xuda Zhou, Zidong Du, Qi Guo et al. · 2018 · 216 citations

Computing, Computer Engineering, Computer Science +17

1–5 of 104

Authors

450

YW
Yanzhi Wang
Northeastern University, United States
12 publications · 808 citations
11
h-index
XL
Xue Lin
Northeastern University, United States
8 publications · 497 citations
8
h-index
ZL
Zhengang Li
Universidad del Noreste, Mexico
7 publications · 319 citations
7
h-index
WN
Wei Niu
William & Mary, United States
6 publications · 315 citations
6
h-index
XM
Xiaolong Ma
Northeastern University, United States
5 publications · 347 citations
5
h-index

1–5 of 450

Institutions

146

1–8 of 146

Venues

arXiv (Cornell University)
Repository · 17 publications · 826 citations
13
h-index
IEEE Access
5 publications · 112 citations
5
h-index
IEEE Transactions on Circuits and Systems I Regular Papers
3 publications · 85 citations
3
h-index
IEEE Transactions on Neural Networks and Learning Systems
3 publications · 152 citations
3
h-index
IEEE Journal on Emerging and Selected Topics in Circuits and Systems
JETCAS · 3 publications · 116 citations
3
h-index

1–5