Dealing with Non-Idealities in Memristor Based Computation-In-Memory Designs

Anteneh  Gebregiorgis; Abhairaj Singh; Sumit  Diware; Rajendra Bishnoi; Said Hamdioui

doi:10.1109/VLSI-SoC54400.2022.9939618

Dealing with Non-Idealities in Memristor Based Computation-In-Memory Designs

Anteneh Gebregiorgis, Abhairaj Singh, Sumit Diware, Rajendra Bishnoi, Said Hamdioui

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

7 Citations (Scopus)

114 Downloads (Pure)

Abstract

Computation-In-Memory (CIM) using memristor devices provides an energy-efficient hardware implementation of arithmetic and logic operations for numerous applications, such as neuromorphic computing and database query. However, memristor-based CIM suffers from various non-idealities such as conductance drift, read disturb, wire parasitics, endurance and device degradation. These negatively impact the computation accuracy of CIM. It is therefore essential to deal with these non-idealities and fabrication imperfections in order to harness the full potential of CIM. This paper discusses the non-ideality challenges and provides potential solutions. Furthermore, the paper outlines the potential future directions for CIM architectures.

Original language	English
Title of host publication	Proceedings of the 2022 IFIP/IEEE 30th International Conference on Very Large Scale Integration (VLSI-SoC)
Publisher	IEEE
Pages	1-6
Number of pages	6
ISBN (Electronic)	978-1-6654-9005-4
ISBN (Print)	978-1-6654-9006-1
DOIs	https://doi.org/10.1109/VLSI-SoC54400.2022.9939618
Publication status	Published - 2022
Event	2022 IFIP/IEEE 30th International Conference on Very Large Scale Integration (VLSI-SoC) - Patras, Greece Duration: 3 Oct 2022 → 5 Oct 2022

Conference

Conference	2022 IFIP/IEEE 30th International Conference on Very Large Scale Integration (VLSI-SoC)
Country/Territory	Greece
City	Patras
Period	3/10/22 → 5/10/22

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care

Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

CIM
memristor
non-idealities
variability
accuracy

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10.1109/VLSI-SoC54400.2022.9939618

Dealing_with_Non-Idealities_in_Memristor_Based_Computation-In-Memory_DesignsFinal published version, 1.99 MB

Cite this

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title = "Dealing with Non-Idealities in Memristor Based Computation-In-Memory Designs",

abstract = "Computation-In-Memory (CIM) using memristor devices provides an energy-efficient hardware implementation of arithmetic and logic operations for numerous applications, such as neuromorphic computing and database query. However, memristor-based CIM suffers from various non-idealities such as conductance drift, read disturb, wire parasitics, endurance and device degradation. These negatively impact the computation accuracy of CIM. It is therefore essential to deal with these non-idealities and fabrication imperfections in order to harness the full potential of CIM. This paper discusses the non-ideality challenges and provides potential solutions. Furthermore, the paper outlines the potential future directions for CIM architectures.",

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author = "Anteneh Gebregiorgis and Abhairaj Singh and Sumit Diware and Rajendra Bishnoi and Said Hamdioui",

note = "Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.; 2022 IFIP/IEEE 30th International Conference on Very Large Scale Integration (VLSI-SoC) ; Conference date: 03-10-2022 Through 05-10-2022",

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language = "English",

isbn = "978-1-6654-9006-1",

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Gebregiorgis, A, Singh, A, Diware, S , Bishnoi, R & Hamdioui, S 2022, Dealing with Non-Idealities in Memristor Based Computation-In-Memory Designs. in Proceedings of the 2022 IFIP/IEEE 30th International Conference on Very Large Scale Integration (VLSI-SoC). IEEE, pp. 1-6, 2022 IFIP/IEEE 30th International Conference on Very Large Scale Integration (VLSI-SoC), Patras, Greece, 3/10/22. https://doi.org/10.1109/VLSI-SoC54400.2022.9939618

Dealing with Non-Idealities in Memristor Based Computation-In-Memory Designs. / Gebregiorgis, Anteneh ; Singh, Abhairaj; Diware, Sumit et al.
Proceedings of the 2022 IFIP/IEEE 30th International Conference on Very Large Scale Integration (VLSI-SoC). IEEE, 2022. p. 1-6.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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AB - Computation-In-Memory (CIM) using memristor devices provides an energy-efficient hardware implementation of arithmetic and logic operations for numerous applications, such as neuromorphic computing and database query. However, memristor-based CIM suffers from various non-idealities such as conductance drift, read disturb, wire parasitics, endurance and device degradation. These negatively impact the computation accuracy of CIM. It is therefore essential to deal with these non-idealities and fabrication imperfections in order to harness the full potential of CIM. This paper discusses the non-ideality challenges and provides potential solutions. Furthermore, the paper outlines the potential future directions for CIM architectures.

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Dealing with Non-Idealities in Memristor Based Computation-In-Memory Designs

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Keywords

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