Demonstration of Differential Mode FeFET-Array for multi-precision storage and IMC applications

Vivek Parmar; Franz Muller; Jing Hua Hsuen; Sandeep Kaur Kingra; Yannick Raffel; Maximillian Lederer; Tarek Ali; Stefan Dunkel; Konrad Seidel; Sven Beyer; Tian Li Wu; Thomas Kampfe; Sourav De; Manan Suri

doi:10.1109/VLSI-TSA/VLSI-DAT57221.2023.10134180

Demonstration of Differential Mode FeFET-Array for multi-precision storage and IMC applications

Vivek Parmar, Franz Muller, Jing Hua Hsuen, Sandeep Kaur Kingra, Yannick Raffel, Maximillian Lederer, Tarek Ali, Stefan Dunkel, Konrad Seidel, Sven Beyer, Tian Li Wu, Thomas Kampfe, Sourav De, Manan Suri

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

3 Scopus citations

Abstract

Harnessing multibit precision in non-volatile memory (NVM) based synaptic core can accelerate multiply and accumulate (MAC) operation of deep neural network (DNN). However, NVM-based synaptic cores suffer from the trade-off between bit density and performance. The undesired performance degradation with scaling, limited bit precision, and asymmetry associated with weight update poses a severe bottleneck in realizing a high-density synaptic core. In this work, we demonstrate: (i) implementation of novel differential mode ferroelectric field effect transistor (FeFET) (DM-FeFET) based multibit crossbar array of 12 Kbit size. (ii) bit density of 223Mb/mm2, which is ∼2x improvement compared to conventional FeFET array; (iii) 196 TOPS/W energy efficiency for VGG-8 network and (iv) superior bit error rate (BER) resilience showing ∼94% training and 88% inference accuracy with 1% BER.

Original language	English
Title of host publication	2023 International VLSI Symposium on Technology, Systems and Applications, VLSI-TSA/VLSI-DAT 2023 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350334166
DOIs	https://doi.org/10.1109/VLSI-TSA/VLSI-DAT57221.2023.10134180
State	Published - 2023
Event	2023 International VLSI Symposium on Technology, Systems and Applications, VLSI-TSA/VLSI-DAT 2023 - Hsinchu, Taiwan Duration: 17 Apr 2023 → 20 Apr 2023

Publication series

Name	2023 International VLSI Symposium on Technology, Systems and Applications, VLSI-TSA/VLSI-DAT 2023 - Proceedings

Conference

Conference	2023 International VLSI Symposium on Technology, Systems and Applications, VLSI-TSA/VLSI-DAT 2023
Country/Territory	Taiwan
City	Hsinchu
Period	17/04/23 → 20/04/23

UN SDGs

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

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10.1109/VLSI-TSA/VLSI-DAT57221.2023.10134180

Cite this

Parmar, V., Muller, F., Hsuen, J. H., Kingra, S. K., Raffel, Y., Lederer, M., Ali, T., Dunkel, S., Seidel, K., Beyer, S., Wu, T. L., Kampfe, T., De, S., & Suri, M. (2023). Demonstration of Differential Mode FeFET-Array for multi-precision storage and IMC applications. In 2023 International VLSI Symposium on Technology, Systems and Applications, VLSI-TSA/VLSI-DAT 2023 - Proceedings (2023 International VLSI Symposium on Technology, Systems and Applications, VLSI-TSA/VLSI-DAT 2023 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VLSI-TSA/VLSI-DAT57221.2023.10134180

Parmar, Vivek ; Muller, Franz ; Hsuen, Jing Hua et al. / Demonstration of Differential Mode FeFET-Array for multi-precision storage and IMC applications. 2023 International VLSI Symposium on Technology, Systems and Applications, VLSI-TSA/VLSI-DAT 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 International VLSI Symposium on Technology, Systems and Applications, VLSI-TSA/VLSI-DAT 2023 - Proceedings).

@inproceedings{ae8d8a182f0c4471af95a3f924df860f,

title = "Demonstration of Differential Mode FeFET-Array for multi-precision storage and IMC applications",

abstract = "Harnessing multibit precision in non-volatile memory (NVM) based synaptic core can accelerate multiply and accumulate (MAC) operation of deep neural network (DNN). However, NVM-based synaptic cores suffer from the trade-off between bit density and performance. The undesired performance degradation with scaling, limited bit precision, and asymmetry associated with weight update poses a severe bottleneck in realizing a high-density synaptic core. In this work, we demonstrate: (i) implementation of novel differential mode ferroelectric field effect transistor (FeFET) (DM-FeFET) based multibit crossbar array of 12 Kbit size. (ii) bit density of 223Mb/mm2, which is ∼2x improvement compared to conventional FeFET array; (iii) 196 TOPS/W energy efficiency for VGG-8 network and (iv) superior bit error rate (BER) resilience showing ∼94% training and 88% inference accuracy with 1% BER.",

author = "Vivek Parmar and Franz Muller and Hsuen, {Jing Hua} and Kingra, {Sandeep Kaur} and Yannick Raffel and Maximillian Lederer and Tarek Ali and Stefan Dunkel and Konrad Seidel and Sven Beyer and Wu, {Tian Li} and Thomas Kampfe and Sourav De and Manan Suri",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 International VLSI Symposium on Technology, Systems and Applications, VLSI-TSA/VLSI-DAT 2023 ; Conference date: 17-04-2023 Through 20-04-2023",

year = "2023",

doi = "10.1109/VLSI-TSA/VLSI-DAT57221.2023.10134180",

language = "English",

series = "2023 International VLSI Symposium on Technology, Systems and Applications, VLSI-TSA/VLSI-DAT 2023 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2023 International VLSI Symposium on Technology, Systems and Applications, VLSI-TSA/VLSI-DAT 2023 - Proceedings",

address = "美國",

}

Parmar, V, Muller, F, Hsuen, JH, Kingra, SK, Raffel, Y, Lederer, M, Ali, T, Dunkel, S, Seidel, K, Beyer, S, Wu, TL, Kampfe, T, De, S & Suri, M 2023, Demonstration of Differential Mode FeFET-Array for multi-precision storage and IMC applications. in 2023 International VLSI Symposium on Technology, Systems and Applications, VLSI-TSA/VLSI-DAT 2023 - Proceedings. 2023 International VLSI Symposium on Technology, Systems and Applications, VLSI-TSA/VLSI-DAT 2023 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2023 International VLSI Symposium on Technology, Systems and Applications, VLSI-TSA/VLSI-DAT 2023, Hsinchu, Taiwan, 17/04/23. https://doi.org/10.1109/VLSI-TSA/VLSI-DAT57221.2023.10134180

Demonstration of Differential Mode FeFET-Array for multi-precision storage and IMC applications. / Parmar, Vivek; Muller, Franz; Hsuen, Jing Hua et al.
2023 International VLSI Symposium on Technology, Systems and Applications, VLSI-TSA/VLSI-DAT 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 International VLSI Symposium on Technology, Systems and Applications, VLSI-TSA/VLSI-DAT 2023 - Proceedings).

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

TY - GEN

T1 - Demonstration of Differential Mode FeFET-Array for multi-precision storage and IMC applications

AU - Parmar, Vivek

AU - Muller, Franz

AU - Hsuen, Jing Hua

AU - Kingra, Sandeep Kaur

AU - Raffel, Yannick

AU - Lederer, Maximillian

AU - Ali, Tarek

AU - Dunkel, Stefan

AU - Seidel, Konrad

AU - Beyer, Sven

AU - Wu, Tian Li

AU - Kampfe, Thomas

AU - De, Sourav

AU - Suri, Manan

PY - 2023

Y1 - 2023

N2 - Harnessing multibit precision in non-volatile memory (NVM) based synaptic core can accelerate multiply and accumulate (MAC) operation of deep neural network (DNN). However, NVM-based synaptic cores suffer from the trade-off between bit density and performance. The undesired performance degradation with scaling, limited bit precision, and asymmetry associated with weight update poses a severe bottleneck in realizing a high-density synaptic core. In this work, we demonstrate: (i) implementation of novel differential mode ferroelectric field effect transistor (FeFET) (DM-FeFET) based multibit crossbar array of 12 Kbit size. (ii) bit density of 223Mb/mm2, which is ∼2x improvement compared to conventional FeFET array; (iii) 196 TOPS/W energy efficiency for VGG-8 network and (iv) superior bit error rate (BER) resilience showing ∼94% training and 88% inference accuracy with 1% BER.

AB - Harnessing multibit precision in non-volatile memory (NVM) based synaptic core can accelerate multiply and accumulate (MAC) operation of deep neural network (DNN). However, NVM-based synaptic cores suffer from the trade-off between bit density and performance. The undesired performance degradation with scaling, limited bit precision, and asymmetry associated with weight update poses a severe bottleneck in realizing a high-density synaptic core. In this work, we demonstrate: (i) implementation of novel differential mode ferroelectric field effect transistor (FeFET) (DM-FeFET) based multibit crossbar array of 12 Kbit size. (ii) bit density of 223Mb/mm2, which is ∼2x improvement compared to conventional FeFET array; (iii) 196 TOPS/W energy efficiency for VGG-8 network and (iv) superior bit error rate (BER) resilience showing ∼94% training and 88% inference accuracy with 1% BER.

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U2 - 10.1109/VLSI-TSA/VLSI-DAT57221.2023.10134180

DO - 10.1109/VLSI-TSA/VLSI-DAT57221.2023.10134180

M3 - Conference contribution

AN - SCOPUS:85153722628

T3 - 2023 International VLSI Symposium on Technology, Systems and Applications, VLSI-TSA/VLSI-DAT 2023 - Proceedings

BT - 2023 International VLSI Symposium on Technology, Systems and Applications, VLSI-TSA/VLSI-DAT 2023 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 International VLSI Symposium on Technology, Systems and Applications, VLSI-TSA/VLSI-DAT 2023

Y2 - 17 April 2023 through 20 April 2023

ER -

Parmar V, Muller F, Hsuen JH, Kingra SK, Raffel Y, Lederer M et al. Demonstration of Differential Mode FeFET-Array for multi-precision storage and IMC applications. In 2023 International VLSI Symposium on Technology, Systems and Applications, VLSI-TSA/VLSI-DAT 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2023. (2023 International VLSI Symposium on Technology, Systems and Applications, VLSI-TSA/VLSI-DAT 2023 - Proceedings). doi: 10.1109/VLSI-TSA/VLSI-DAT57221.2023.10134180

Demonstration of Differential Mode FeFET-Array for multi-precision storage and IMC applications

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