학술논문
A 40-nm 646.6TOPS/W Sparsity-Scaling DNN Processor for On-Device Training
Document Type
Conference
Author
Source
2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits) VLSI Technology and Circuits (VLSI Technology and Circuits), 2022 IEEE Symposium on. :40-41 Jun, 2022
Subject
Language
ISSN
2158-9682
Abstract
This work presents the first deep-neural-network (DNN) processor that supports sparsity-scaling training (SST). SST enables a sparsity of 92.4-to-97.8% with a