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Monte Carlo Variation Analysis of NCFET-based 6-T SRAM: Design Opportunities and Trade-offs

Published: 22 June 2021 Publication History

Abstract

Negative Capacitance FET (NCFET) is one of the most promising variants of the emerging steep-slope transistors, able to overcome the ?Boltzmann limit'. The ferroelectric layer in the gate stack brings in new dynamics to the transistor operation by amplifying the surface potential. Steeper subthreshold slope, higher ON/OFF ratio, and the possibility to attain negative output conductance provide unique opportunities for NCFET-based circuit design. However, NCFETs inherently possess additional sources of variation, and hence, the promise of performance benefits in the nominal designs must be examined through extensive variation analysis. The non-volatile ferroelectric FETs (FEFETs) are promising candidates for storage-class memory, whereas the volatile NCFETs are suitable for high-speed SRAM design. In this work, we first draw a contrast between the modeling approaches ideal for the non-volatile FEFETs and volatile NCFETs. We then utilize a compact model for NCFET to analyze the design possibilities in an NCFET-based 6-T SRAM cell compared with its conventional counterpart ? both implemented in the 10 nm technology node. We examine the read, write, and hold performance of the SRAM cells through Monte Carlo variation analysis. We show that, even with additional variation induced spread in the device characteristics, NCFET-based SRAM cell can achieve better Static Noise Margin (SNM) during read/hold modes and allows more aggressive supply voltage scaling. The increased hold stability imposes a penalty in the write performance ? forcing design trade-offs.

Supplemental Material

MP4 File
In this paper, we analyzed the realistic performance metrics, design opportunities, and trade-offs in an NC-FinFET-based SRAM cell through Monte Carlo variation analysis. We showed that, even with additional variation induced spread in the device characteristics, NC-FinFET-based SRAM cells can provide ~40% higher read SNM and ~20% higher hold SNM compared with a standard FinFET-based SRAM cell (all considering the worst-case scenario). We also reported that, due to the enhanced hold stability, the NC-FET SRAM incurs ~35% penalty in write time. However, the read operation can effectively be ~30% faster. We also reported that the NC-FinFET SRAM is more resilient to supply voltage degradation. Our analysis is meant to set the pathway for variation-aware device-circuit co-design for NCFETs. Our framework can be extended to incorporate more design variables and variation sources as more experimental insights on parameter distributions become available.

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Cited By

View all
  • (2024)The Device-Circuit Co-design Perspective on Phase-Transition and Hybrid Phase-Transition (Hyper-) FETs, Phase-FETs, and MOSFETBeyond Si-Based CMOS Devices10.1007/978-981-97-4623-1_10(253-271)Online publication date: 3-Sep-2024
  • (2023)Low-Power Dynamic Circuit Design With Steep-Switching Hybrid Phase Transition FETs (Hyper-FETs)IEEE Transactions on Electron Devices10.1109/TED.2022.323123670:2(819-825)Online publication date: Feb-2023
  • (2023)A Novel Scalable Array Design for III-V Compound Semiconductor-based Nonvolatile Memory (UltraRAM) with Separate Read-Write Paths2023 24th International Symposium on Quality Electronic Design (ISQED)10.1109/ISQED57927.2023.10129314(1-7)Online publication date: 5-Apr-2023

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cover image ACM Conferences
GLSVLSI '21: Proceedings of the 2021 Great Lakes Symposium on VLSI
June 2021
504 pages
ISBN:9781450383936
DOI:10.1145/3453688
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 22 June 2021

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Author Tags

  1. compact model
  2. ferroelectric
  3. monte carlo
  4. negative capacitance
  5. sram
  6. static noise margin
  7. variation

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  • Research-article

Data Availability

In this paper, we analyzed the realistic performance metrics, design opportunities, and trade-offs in an NC-FinFET-based SRAM cell through Monte Carlo variation analysis. We showed that, even with additional variation induced spread in the device characteristics, NC-FinFET-based SRAM cells can provide ~40% higher read SNM and ~20% higher hold SNM compared with a standard FinFET-based SRAM cell (all considering the worst-case scenario). We also reported that, due to the enhanced hold stability, the NC-FET SRAM incurs ~35% penalty in write time. However, the read operation can effectively be ~30% faster. We also reported that the NC-FinFET SRAM is more resilient to supply voltage degradation. Our analysis is meant to set the pathway for variation-aware device-circuit co-design for NCFETs. Our framework can be extended to incorporate more design variables and variation sources as more experimental insights on parameter distributions become available. https://dl.acm.org/doi/10.1145/3453688.3461742#GLSVLSI21-vlsi21s.mp4

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June 22 - 25, 2021
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Cited By

View all
  • (2024)The Device-Circuit Co-design Perspective on Phase-Transition and Hybrid Phase-Transition (Hyper-) FETs, Phase-FETs, and MOSFETBeyond Si-Based CMOS Devices10.1007/978-981-97-4623-1_10(253-271)Online publication date: 3-Sep-2024
  • (2023)Low-Power Dynamic Circuit Design With Steep-Switching Hybrid Phase Transition FETs (Hyper-FETs)IEEE Transactions on Electron Devices10.1109/TED.2022.323123670:2(819-825)Online publication date: Feb-2023
  • (2023)A Novel Scalable Array Design for III-V Compound Semiconductor-based Nonvolatile Memory (UltraRAM) with Separate Read-Write Paths2023 24th International Symposium on Quality Electronic Design (ISQED)10.1109/ISQED57927.2023.10129314(1-7)Online publication date: 5-Apr-2023

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