Publication:

Reliability Analysis of Memristor Crossbar Routers: Collisions and On/off Ratio Requirement

Date

Date

Date
2022
Conference or Workshop Item
Published version

Citations

Citation copied

Chen, J., Wu, C., Indiveri, G., & Payvand, M. (2022). Reliability Analysis of Memristor Crossbar Routers: Collisions and On/off Ratio Requirement. 9970901. https://doi.org/10.1109/icecs202256217.2022.9970901

Abstract

Abstract

Abstract

Memristors are commonly used in crossbar arrays as “in-memory computing” elements to solve the von-Neumann bottleneck problem. However, they can also be used as “in-memory routing” elements to configure on-chip interconnection schemes and route signals among computing elements in configurable multi-core neuromorphic processors. While there has been a significant focus on the use of memristive devices as in-memory computing elements, to date, studies on the fundamental reliability properties of memristors as routing elements are still

Additional indexing

Creators (Authors)

Event Title

Event Title

Event Title
2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS)

Event Location

Event Location

Event Location
Glasgow

Event Country

Event Country

Event Country
United Kingdom

Event Start Date

Event Start Date

Event Start Date
2022-10-24

Event End Date

Event End Date

Event End Date
2022-10-26

Page range/Item number

Page range/Item number

Page range/Item number
9970901

Item Type

Item Type

Item Type
Conference or Workshop Item

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Language

Language

Language
English

Date available

Date available

Date available
2023-02-26

OA Status

OA Status

OA Status
Green

Free Access at

Free Access at

Free Access at
Unspecified

Citations

Citation copied

Chen, J., Wu, C., Indiveri, G., & Payvand, M. (2022). Reliability Analysis of Memristor Crossbar Routers: Collisions and On/off Ratio Requirement. 9970901. https://doi.org/10.1109/icecs202256217.2022.9970901

Green Open Access
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