Theoretical Optimal Specifications of Memcapacitors for Charge-Based In-Memory Computing

Zichen Qian; Rentao Wan; Chin Hsiang Liao; Steven Koester; Mingoo Seok

doi:10.1145/3658617.3697576

Theoretical Optimal Specifications of Memcapacitors for Charge-Based In-Memory Computing

Zichen Qian
, Rentao Wan
, Chin Hsiang Liao
, Steven Koester
, Mingoo Seok

Minnesota Nano Center

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper presents the optimal theoretical specifications of memcapacitors that allow them to surpass the existing state-of-the-art in-memory computing (IMC) prototypes in terms of energy efficiency and weight density. To do so, we build and simulate the SPICE model of an existing memcapacitor device in an IMC macro featuring charge-based computing. We develop the energy efficiency model and weight density model of the memcapacitor-based IMC macro, which are verified against SPICE simulation. Finally, we present the optimal theoretical specifications for memcapacitor devices to obtain a 10x improvement in energy efficiency and/or weight density over the existing IMC prototypes.

Original language	English (US)
Title of host publication	ASP-DAC 2025 - 30th Asia and South Pacific Design Automation Conference, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	468-475
Number of pages	8
ISBN (Electronic)	9798400706356
DOIs	https://doi.org/10.1145/3658617.3697576
State	Published - Mar 4 2025
Event	30th Asia and South Pacific Design Automation Conference, ASP-DAC 2025 - Tokyo, Japan Duration: Jan 20 2025 → Jan 23 2025

Publication series

Name	Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC
ISSN (Print)	2153-6961
ISSN (Electronic)	2153-697X

Conference

Conference	30th Asia and South Pacific Design Automation Conference, ASP-DAC 2025
Country/Territory	Japan
City	Tokyo
Period	1/20/25 → 1/23/25

Bibliographical note

Publisher Copyright:
© 2025 Copyright is held by the owner/author(s). Publication rights licensed to ACM.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

energy efficiency
in-memory computing
memcapacitor
optimal specifications
weight density

Publisher link

10.1145/3658617.3697576

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Qian, Z., Wan, R., Liao, C. H., Koester, S., & Seok, M. (2025). Theoretical Optimal Specifications of Memcapacitors for Charge-Based In-Memory Computing. In ASP-DAC 2025 - 30th Asia and South Pacific Design Automation Conference, Proceedings (pp. 468-475). (Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1145/3658617.3697576

Theoretical Optimal Specifications of Memcapacitors for Charge-Based In-Memory Computing. / Qian, Zichen; Wan, Rentao; Liao, Chin Hsiang et al.
ASP-DAC 2025 - 30th Asia and South Pacific Design Automation Conference, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2025. p. 468-475 (Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Qian, Z, Wan, R, Liao, CH, Koester, S & Seok, M 2025, Theoretical Optimal Specifications of Memcapacitors for Charge-Based In-Memory Computing. in ASP-DAC 2025 - 30th Asia and South Pacific Design Automation Conference, Proceedings. Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC, Institute of Electrical and Electronics Engineers Inc., pp. 468-475, 30th Asia and South Pacific Design Automation Conference, ASP-DAC 2025, Tokyo, Japan, 1/20/25. https://doi.org/10.1145/3658617.3697576

Qian Z, Wan R, Liao CH, Koester S, Seok M. Theoretical Optimal Specifications of Memcapacitors for Charge-Based In-Memory Computing. In ASP-DAC 2025 - 30th Asia and South Pacific Design Automation Conference, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2025. p. 468-475. (Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC). doi: 10.1145/3658617.3697576

Qian, Zichen ; Wan, Rentao ; Liao, Chin Hsiang et al. / Theoretical Optimal Specifications of Memcapacitors for Charge-Based In-Memory Computing. ASP-DAC 2025 - 30th Asia and South Pacific Design Automation Conference, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2025. pp. 468-475 (Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC).

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abstract = "This paper presents the optimal theoretical specifications of memcapacitors that allow them to surpass the existing state-of-the-art in-memory computing (IMC) prototypes in terms of energy efficiency and weight density. To do so, we build and simulate the SPICE model of an existing memcapacitor device in an IMC macro featuring charge-based computing. We develop the energy efficiency model and weight density model of the memcapacitor-based IMC macro, which are verified against SPICE simulation. Finally, we present the optimal theoretical specifications for memcapacitor devices to obtain a 10x improvement in energy efficiency and/or weight density over the existing IMC prototypes.",

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Theoretical Optimal Specifications of Memcapacitors for Charge-Based In-Memory Computing

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

Publisher link

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