Conference paper
Deep Compression of Pre-trained Transformer Models
Naigang Wang, Chi-Chun Liu, et al.
NeurIPS 2022
This survey paper summarizes recent progress of deep learning circuits and systems technologies and contains four topics: hardware-centric deep learning algorithms, digital architectures, analog architectures, and system demonstrations. We present an overview of these four areas and introduce key contributions of papers in this special issue.
Naigang Wang, Chi-Chun Liu, et al.
NeurIPS 2022
Swagath Venkataramani, Vijayalakshmi Srinivasan, et al.
ISCA 2021
Jinwook Oh, Sae Kyu Lee, et al.
VLSI Circuits 2020
Sae Kyu Lee, Ankur Agrawal, et al.
IEEE JSSC