DocumentCode
65006
Title
STT-MRAM Sensing Circuit With Self-Body Biasing in Deep Submicron Technologies
Author
Jisu Kim ; Kyungho Ryu ; Jung Pill Kim ; Kang, S.H. ; Seong-Ook Jung
Author_Institution
Sch. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea
Volume
22
Issue
7
fYear
2014
fDate
Jul-14
Firstpage
1630
Lastpage
1634
Abstract
Conventional spin transfer torque MRAM sensing circuits suffer from a small sensing margin and a large sensing margin variation in deep submicron technologies. The small sensing margin issue becomes worse in the low-leakage process technology due to the higher threshold voltage. In this brief, the self-body biasing (self-BB) scheme is proposed to resolve the small sensing margin issue. In the self-BB scheme, the threshold voltage of load pMOS is adaptively controlled by body bias. Although leakage current ´lows through the body due to the positive junction bias voltage, it is well suppressed to less than 1% (0.3 μA) of the sensing current and ´lows only during the sensing operation. To reduce large sensing margin variation, the source degeneration scheme with the longer channel length is used for the load pMOS. The HSPICE simulation results obtained using low-leakage 45-nm model parameters show that the proposed sensing circuit achieves a probability of the read access pass yield (PRAPY Memory) of 100%, whereas the sensing circuit without BB scheme has an PRAPY Memory of 5.8% for a 32-Mb memory with a sensing time of 2 ns.
Keywords
MRAM devices; SPICE; HSPICE simulation; PRAPY memory; current 0.3 muA; deep submicron technologies; leakage current; pMOS; read access pass yield; self-body biasing; sensing current; storage capacity 32 Mbit; time 2 ns; Integrated circuit modeling; Leakage currents; Random access memory; Sensors; Torque; Transistors; Body biasing; IO device; sensing circuit; sensing margin; spin transfer torque MRAM (STT-MRAM); spin transfer torque MRAM (STT-MRAM).;
fLanguage
English
Journal_Title
Very Large Scale Integration (VLSI) Systems, IEEE Transactions on
Publisher
ieee
ISSN
1063-8210
Type
jour
DOI
10.1109/TVLSI.2013.2272587
Filename
6572854
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