Title
Impact of Multilevel Retention Characteristics on RRAM based DNN Inference Engine
Abstract
In this work, the retention characteristics of multilevel HfO2 resistive random access memory (RRAM) based synaptic array was statistically measured from a 90 nm test chip and modeled at different temperatures. We found that not only the average conductance (especially at the intermediate states) drifts but also the variance of conductance exacerbates at elevated temperatures. To investigate the i...
Year
DOI
Venue
2021
10.1109/IRPS46558.2021.9405210
2021 IEEE International Reliability Physics Symposium (IRPS)
Keywords
DocType
ISSN
Temperature measurement,Temperature distribution,Semiconductor device measurement,Resistive RAM,Neural networks,Data models,Integrated circuit modeling
Conference
1541-7026
ISBN
Citations 
PageRank 
978-1-7281-6893-7
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Wonbo Shim111.69
Jian Meng231.07
Xiaochen Peng36112.17
Jae-sun Seo453656.32
Shimeng Yu549056.22