Cool-CIM: Cryogenic Operation of Analog Compute-In-Memory for Improved Power-efficiency

Wei Chun Wang; Rakshith Saligram; Sudarshan Sharma; Minah Lee; Amol Gaidhane; Yu Cao; Arijit Raychowdhury; Suman Datta; Saibal Mukhopadhyay

doi:10.1109/IEDM45741.2023.10413880

Cool-CIM: Cryogenic Operation of Analog Compute-In-Memory for Improved Power-efficiency

Wei Chun Wang
, Rakshith Saligram
, Sudarshan Sharma
, Minah Lee
, Amol Gaidhane
, Yu Cao
, Arijit Raychowdhury
, Suman Datta
, Saibal Mukhopadhyay

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

3 Scopus citations

Abstract

Analog computing-in-memory (ACIM) is a promising technology that performs computation on the bitlines to alleviate memory bottleneck, but the power consumption of peripheral circuits limits its power efficiency (TOPS/Watt). This work shows that a cryogenically cooled ACIM (Cool-CIM) can leverage improved device characteristics, such as higher I_ON/I_OFF ratio, and higher transconductance, to lower the operating voltage and power of peripheral circuits. Circuit simulations with empirically calibrated models of 14nm FinFET at cryogenic temperature show 54% reduction in EDP and 80% increase in TOPS/W for voltage optimized cryogenic ACIM compared to 300K operation. The study establishes the feasibility of in-sensor processing of analog signals in cryogenic infrared sensors.

Original language	English (US)
Title of host publication	2023 International Electron Devices Meeting, IEDM 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350327670
DOIs	https://doi.org/10.1109/IEDM45741.2023.10413880
State	Published - 2023
Externally published	Yes
Event	2023 International Electron Devices Meeting, IEDM 2023 - San Francisco, United States Duration: Dec 9 2023 → Dec 13 2023

Publication series

Name	Technical Digest - International Electron Devices Meeting, IEDM
ISSN (Print)	0163-1918

Conference

Conference	2023 International Electron Devices Meeting, IEDM 2023
Country/Territory	United States
City	San Francisco
Period	12/9/23 → 12/13/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Publisher link

10.1109/IEDM45741.2023.10413880

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Cite this

Wang, W. C., Saligram, R., Sharma, S., Lee, M., Gaidhane, A., Cao, Y., Raychowdhury, A., Datta, S., & Mukhopadhyay, S. (2023). Cool-CIM: Cryogenic Operation of Analog Compute-In-Memory for Improved Power-efficiency. In 2023 International Electron Devices Meeting, IEDM 2023 (Technical Digest - International Electron Devices Meeting, IEDM). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IEDM45741.2023.10413880

Cool-CIM: Cryogenic Operation of Analog Compute-In-Memory for Improved Power-efficiency. / Wang, Wei Chun; Saligram, Rakshith; Sharma, Sudarshan et al.
2023 International Electron Devices Meeting, IEDM 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (Technical Digest - International Electron Devices Meeting, IEDM).

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

Wang, WC, Saligram, R, Sharma, S, Lee, M, Gaidhane, A, Cao, Y, Raychowdhury, A, Datta, S & Mukhopadhyay, S 2023, Cool-CIM: Cryogenic Operation of Analog Compute-In-Memory for Improved Power-efficiency. in 2023 International Electron Devices Meeting, IEDM 2023. Technical Digest - International Electron Devices Meeting, IEDM, Institute of Electrical and Electronics Engineers Inc., 2023 International Electron Devices Meeting, IEDM 2023, San Francisco, United States, 12/9/23. https://doi.org/10.1109/IEDM45741.2023.10413880

Wang WC, Saligram R, Sharma S, Lee M, Gaidhane A, Cao Y et al. Cool-CIM: Cryogenic Operation of Analog Compute-In-Memory for Improved Power-efficiency. In 2023 International Electron Devices Meeting, IEDM 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (Technical Digest - International Electron Devices Meeting, IEDM). doi: 10.1109/IEDM45741.2023.10413880

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title = "Cool-CIM: Cryogenic Operation of Analog Compute-In-Memory for Improved Power-efficiency",

abstract = "Analog computing-in-memory (ACIM) is a promising technology that performs computation on the bitlines to alleviate memory bottleneck, but the power consumption of peripheral circuits limits its power efficiency (TOPS/Watt). This work shows that a cryogenically cooled ACIM (Cool-CIM) can leverage improved device characteristics, such as higher ION/IOFF ratio, and higher transconductance, to lower the operating voltage and power of peripheral circuits. Circuit simulations with empirically calibrated models of 14nm FinFET at cryogenic temperature show 54\% reduction in EDP and 80\% increase in TOPS/W for voltage optimized cryogenic ACIM compared to 300K operation. The study establishes the feasibility of in-sensor processing of analog signals in cryogenic infrared sensors.",

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doi = "10.1109/IEDM45741.2023.10413880",

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AU - Gaidhane, Amol

AU - Cao, Yu

AU - Raychowdhury, Arijit

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AU - Mukhopadhyay, Saibal

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AB - Analog computing-in-memory (ACIM) is a promising technology that performs computation on the bitlines to alleviate memory bottleneck, but the power consumption of peripheral circuits limits its power efficiency (TOPS/Watt). This work shows that a cryogenically cooled ACIM (Cool-CIM) can leverage improved device characteristics, such as higher ION/IOFF ratio, and higher transconductance, to lower the operating voltage and power of peripheral circuits. Circuit simulations with empirically calibrated models of 14nm FinFET at cryogenic temperature show 54% reduction in EDP and 80% increase in TOPS/W for voltage optimized cryogenic ACIM compared to 300K operation. The study establishes the feasibility of in-sensor processing of analog signals in cryogenic infrared sensors.

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Cool-CIM: Cryogenic Operation of Analog Compute-In-Memory for Improved Power-efficiency

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