Survey On the Sensing Techniques Used for Spin Transfer Torque MRAM

被引:0
|
作者
Kumari S. [1 ]
Yadav R. [1 ]
机构
[1] Department of ECE, DCRUST, Murthal
关键词
All-optical switching techniques; Magnetically random-access memory; Sensing scheme; Sensor; Spin transfer torque;
D O I
10.1007/s40031-024-01111-1
中图分类号
学科分类号
摘要
This article provides a high-level, circuit-level summary of advancements in spin-transfer-torque (STT) magnetically random-access memory (MRAM) sensing. The sensing margin, read energy reduction, and compact cell size of various sensing approaches are discussed. Perpendicular-STT MRAM based on non-volatile store memory can effectively minimize processor power consumption without execution distortion. The P-MOS-assisted voltage sense amplifier enhances MRAM read reliability at restricted tunnel magnetic resistance and low voltage. The dynamic dual reference sense (DDRS) technique increases the sensing margin. The magnetic tunnel junction’s resistance variation from bit to bit can be overcome by using non-destructive DDRS techniques. When compared to the voltage sensing approach, the time-based sensing technique increases read yield. The cycle sense margin enhancement method is employed to reduce performance fluctuations brought on by a faulty process. The self-matching complementary-reference technique contributes to the development of other emerging computing ideas and offers a promising detection approach for superior presentation memories. This work is anticipated to support the advancement of sensing in STT MRAM in cutting-edge innovation nodes, thereby aligning with the universal memory capabilities of STT MRAM. © The Institution of Engineers (India) 2024.
引用
收藏
页码:1469 / 1496
页数:27
相关论文
共 50 条
  • [1] A survey of in-spin transfer torque MRAM computing
    Cai, Hao
    Liu, Bo
    Chen, Juntong
    Naviner, Lirida
    Zhou, Yongliang
    Wang, Zhen
    Yang, Jun
    SCIENCE CHINA-INFORMATION SCIENCES, 2021, 64 (06)
  • [2] A survey of in-spin transfer torque MRAM computing
    Hao CAI
    Bo LIU
    Juntong CHEN
    Lirida NAVINER
    Yongliang ZHOU
    Zhen WANG
    Jun YANG
    ScienceChina(InformationSciences), 2021, 64 (06) : 30 - 44
  • [3] A survey of in-spin transfer torque MRAM computing
    Hao Cai
    Bo Liu
    Juntong Chen
    Lirida Naviner
    Yongliang Zhou
    Zhen Wang
    Jun Yang
    Science China Information Sciences, 2021, 64
  • [4] A Split-Path Sensing Circuit for Spin Torque Transfer MRAM
    Kim, Jisu
    Na, Taehui
    Kim, Jung Pill
    Kang, Seung H.
    Jung, Seong-Ook
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2014, 61 (03) : 193 - 197
  • [5] A Novel Sensing Circuit for Deep Submicron Spin Transfer Torque MRAM (STT-MRAM)
    Kim, Jisu
    Ryu, Kyungho
    Kang, Seung H.
    Jung, Seong-Ook
    IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, 2012, 20 (01) : 181 - 186
  • [6] Variation-Tolerant Sensing Circuit for Spin-Transfer Torque MRAM
    Kim, Kyungmin
    Yoo, Changsik
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2015, 62 (12) : 1134 - 1138
  • [7] Recent Developments in Spin Transfer Torque MRAM
    Sbiaa, Rachid
    Piramanayagam, S. N.
    PHYSICA STATUS SOLIDI-RAPID RESEARCH LETTERS, 2017, 11 (12):
  • [8] Magnetic immunity of spin-transfer-torque MRAM
    Srivastava, S.
    Sivabalan, K.
    Kwon, J. H.
    Yamane, K.
    Yang, H.
    Chung, N. L.
    Ding, J.
    Teo, Kie Leong
    Lee, Kangho
    Yang, Hyunsoo
    APPLIED PHYSICS LETTERS, 2019, 114 (17)
  • [9] Low-Current Spin Transfer Torque MRAM
    Worledge, D.
    Annunziata, A. J.
    Brown, S.
    Chen, W.
    Harms, J.
    Hu, G.
    Kim, Y.
    Kothandaraman, C.
    Lauer, G.
    Lee, J.
    Liu, L.
    Murthy, S.
    Nowak, J.
    O'Sullivan, E.
    Park, J.
    Robertazzi, R.
    Sun, J. Z.
    Trouilloud, P.
    2015 IEEE MAGNETICS CONFERENCE (INTERMAG), 2015,
  • [10] Low-Current Spin Transfer Torque MRAM
    Hu, G.
    Nowak, J. J.
    Lauer, G.
    Lee, J. H.
    Sun, J. Z.
    Harms, J.
    Annunziata, A.
    Brown, S.
    Chen, W.
    Kim, Y. H.
    Marchack, N.
    Murthy, S.
    Kothandaraman, C.
    O'Sullivan, E. J.
    Park, J. H.
    Reuter, M.
    Robertazzi, R. P.
    Trouilloud, P. L.
    Zhu, Y.
    Worledge, D. C.
    2017 INTERNATIONAL SYMPOSIUM ON VLSI TECHNOLOGY, SYSTEMS AND APPLICATION (VLSI-TSA), 2017,