Abstract
The impact of device-to-device, cycle-to-cycle, and parasitic variations in memristor devices on the performance of neural network architectures is not a fully understood topic. In this paper, we present an explicit analysis of memristor variabilities and non-idealities of memristive crossbar based learning architectures. The measurements of real devices and their effects on dot product operation in a memristive crossbar is reported. The effect of these non-idealities, limited resistive levels and variabilities on the performance and reliability of two-layer Artificial Neural Network (ANN), Convolutional Neural Network (CNN) and Binary Neural Network (BNN) is analyzed and presented.
| Original language | English |
|---|---|
| Title of host publication | 2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781728103976 |
| DOIs | |
| Publication status | Published - Jan 1 2019 |
| Event | 2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 - Sapporo, Japan Duration: May 26 2019 → May 29 2019 |
Publication series
| Name | Proceedings - IEEE International Symposium on Circuits and Systems |
|---|---|
| Volume | 2019-May |
| ISSN (Print) | 0271-4310 |
Conference
| Conference | 2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 |
|---|---|
| Country | Japan |
| City | Sapporo |
| Period | 5/26/19 → 5/29/19 |
Fingerprint
Keywords
- Learning Architectures
- Memristive Crossbar
- Memristor
- Variability
ASJC Scopus subject areas
- Electrical and Electronic Engineering
Cite this
Memristive non-idealities : Is there any practical implications for designing neural network chips? / Krestinskaya, Olga; Irmanova, Aidana; James, Alex.
2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. 8702245 (Proceedings - IEEE International Symposium on Circuits and Systems; Vol. 2019-May).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Memristive non-idealities
T2 - Is there any practical implications for designing neural network chips?
AU - Krestinskaya, Olga
AU - Irmanova, Aidana
AU - James, Alex
PY - 2019/1/1
Y1 - 2019/1/1
N2 - The impact of device-to-device, cycle-to-cycle, and parasitic variations in memristor devices on the performance of neural network architectures is not a fully understood topic. In this paper, we present an explicit analysis of memristor variabilities and non-idealities of memristive crossbar based learning architectures. The measurements of real devices and their effects on dot product operation in a memristive crossbar is reported. The effect of these non-idealities, limited resistive levels and variabilities on the performance and reliability of two-layer Artificial Neural Network (ANN), Convolutional Neural Network (CNN) and Binary Neural Network (BNN) is analyzed and presented.
AB - The impact of device-to-device, cycle-to-cycle, and parasitic variations in memristor devices on the performance of neural network architectures is not a fully understood topic. In this paper, we present an explicit analysis of memristor variabilities and non-idealities of memristive crossbar based learning architectures. The measurements of real devices and their effects on dot product operation in a memristive crossbar is reported. The effect of these non-idealities, limited resistive levels and variabilities on the performance and reliability of two-layer Artificial Neural Network (ANN), Convolutional Neural Network (CNN) and Binary Neural Network (BNN) is analyzed and presented.
KW - Learning Architectures
KW - Memristive Crossbar
KW - Memristor
KW - Variability
UR - http://www.scopus.com/inward/record.url?scp=85066797596&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85066797596&partnerID=8YFLogxK
U2 - 10.1109/ISCAS.2019.8702245
DO - 10.1109/ISCAS.2019.8702245
M3 - Conference contribution
AN - SCOPUS:85066797596
T3 - Proceedings - IEEE International Symposium on Circuits and Systems
BT - 2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
ER -