Title
A Fast Precision Tuning Solution for Always-On DNN Accelerators
Abstract
Due to the nonvolatility nature of resistive RAM (ReRAM), dynamic operations in the arrays contribute to a much larger portion of power in ReRAM-based neural networks than static power. To reduce the dynamic power of in-situ operations with neural parameters, precision-tuning is considered a viable approach of approximate computing to tradeoff excessive computation exactness for power and e...
Year
DOI
Venue
2022
10.1109/TCAD.2021.3089667
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Keywords
DocType
Volume
Computer architecture,Neural networks,Computational modeling,Approximate computing,Tuning,Switches,Microprocessors
Journal
41
Issue
ISSN
Citations 
5
0278-0070
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Ying Wang127655.61
Yintao He211.73
Long Cheng39116.99
Huawei Li441756.32
Xinrong Li51266157.76