A Feasibility Study on Ferroelectric Shadow SRAMs Based on Variability-Aware Design Optimization

被引:4
|
作者
Takeuchi, Kiyoshi [1 ]
Kobayashi, Masaharu [1 ]
Hiramoto, Toshiro [1 ]
机构
[1] Univ Tokyo, Inst Ind Sci, Tokyo 1538505, Japan
关键词
Energy harvesting; ferroelectric memory; nonvolatile memory; sensor network; shadow RAM; shadow SRAM; variability; MARGIN; POWER; READ;
D O I
10.1109/JEDS.2019.2949564
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A feasibility study on Ferroelectric Shadow SRAMs (FE-SRAMs) was performed using circuit simulations. To take into account design constraints set by the cell transistor variability, a simple operation margin search algorithm was proposed and used, which requires only pass/fail information from multiple transient simulations. It was found that stable dynamic recall operations can be achieved by using small enough ferroelectric capacitors, and that non-volatile write energy of well below 10 fJ/bit can be expected, adding minimal area penalty and performance degradation to the base SRAM cell. Scalability to advanced technology nodes is also anticipated. The results show that the FE-SRAM would be an ideal non-volatile memory solution for ultra-low power applications, such as sensor networks powered by energy harvesting.
引用
收藏
页码:1284 / 1292
页数:9
相关论文
共 50 条
  • [1] Toward variability-aware design
    Onodera, Hidetoshi
    [J]. 2007 SYMPOSIUM ON VLSI TECHNOLOGY, DIGEST OF TECHNICAL PAPERS, 2007, : 92 - 93
  • [2] Variability-aware design of subthreshold devices
    Jaramillo-Ramirez, Rodrigo
    Jaffari, Javid
    Anis, Mohab
    [J]. PROCEEDINGS OF 2008 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-10, 2008, : 1196 - 1199
  • [3] Variability-Aware Compact Model Characterization for Statistical Circuit Design Optimization
    Qiao, Ying
    Qian, Kun
    Spanos, Costas J.
    [J]. DESIGN FOR MANUFACTURABILITY THROUGH DESIGN-PROCESS INTEGRATION VI, 2012, 8327
  • [4] Variability-Aware, Discrete Optimization for Analog Circuits
    Jung, Seobin
    Choi, Yunju
    Kim, Jaeha
    [J]. 2012 49TH ACM/EDAC/IEEE DESIGN AUTOMATION CONFERENCE (DAC), 2012, : 536 - 541
  • [5] On the Variability-aware Design of Memristor-based Logic Circuits
    Escudero, M.
    Vourkas, I.
    Rubio, A.
    Moll, F.
    [J]. 2018 IEEE 18TH INTERNATIONAL CONFERENCE ON NANOTECHNOLOGY (IEEE-NANO), 2018,
  • [6] Variability-Aware, Discrete Optimization for Analog Circuits
    Jung, Seobin
    Lee, Jiho
    Kim, Jaeha
    [J]. IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2014, 33 (08) : 1117 - 1130
  • [7] Variability-Aware Design of RRAM-Based Analog CAMs
    Bazzi, Jinane
    Sweidan, Jana
    Fouda, Mohammed E.
    Kanj, Rouwaida
    Eltawil, Ahmed M.
    [J]. IEEE ACCESS, 2024, 12 : 55859 - 55873
  • [8] Variability-aware architecture level optimization techniques for robust nanoscale chip design
    Mohanty, Saraju P.
    Gomathisankaran, Mahadevan
    Kougianos, Elias
    [J]. COMPUTERS & ELECTRICAL ENGINEERING, 2014, 40 (01) : 168 - 193
  • [9] A Study of Statistical Variability-aware Methods
    Cai, Hao
    Liu, Kaikai
    de Barros Naviner, Lirida Alves
    [J]. 2014 IEEE INTERNATIONAL SYMPOSIUM ON RADIO-FREQUENCY INTEGRATION TECHNOLOGY (RFIT): SILICON TECHNOLOGY HEATS UP FOR THZ, 2014,
  • [10] Variability-aware MMIC design through multiphysics modelling
    Guerrieri, S. Donati
    Ramella, C.
    Catoggio, E.
    Bonani, F.
    [J]. 2022 IEEE MTT-S INTERNATIONAL CONFERENCE ON NUMERICAL ELECTROMAGNETIC AND MULTIPHYSICS MODELING AND OPTIMIZATION, NEMO, 2022,