DocumentCode
1343855
Title
Voltage Driven Nondestructive Self-Reference Sensing Scheme of Spin-Transfer Torque Memory
Author
Sun, Zhenyu ; Li, Hai ; Chen, Yiran ; Wang, Xiaobin
Author_Institution
Dept. of Electr. & Comput. Eng., Polytech. Inst. of New York Univ., Brooklyn, NY, USA
Volume
20
Issue
11
fYear
2012
Firstpage
2020
Lastpage
2030
Abstract
Spin-transfer torque random access memory (STT-RAM) has demonstrated great potentials as a universal memory for its fast access speed, zero standby power, excellent scalability, and simplicity of cell structure. However, large process variations of both magnetic tunneling junction (MTJ) and CMOS process severely limit the yield of STT-RAM chips and prevent the massive production from happening. In this paper, we analyze and compare the impacts of process variations on various sensing schemes of STT-RAM design. On top of it, we propose a novel voltage-driven nondestructive self-reference sensing scheme to enhance the STT-RAM chip yield by significantly improving sense margin. Monte Carlo simulations of a 16-Kb STT-RAM array shows that our proposed scheme can achieve the same yield as the previous nondestructive self-reference sensing scheme while improving the sense margin by five times with the similar access performance and power.
Keywords
CMOS memory circuits; Monte Carlo methods; magnetic tunnelling; random-access storage; CMOS process; MTJ; Monte Carlo simulations; STT-RAM; magnetic tunneling junction; spin-transfer torque random access memory; voltage driven nondestructive self-reference sensing scheme; Magnetic tunneling; Memory management; Power demand; Random access memory; Scalability; Magnetic tunneling junction; process variation; self-reference; spin-torque transfer; yield;
fLanguage
English
Journal_Title
Very Large Scale Integration (VLSI) Systems, IEEE Transactions on
Publisher
ieee
ISSN
1063-8210
Type
jour
DOI
10.1109/TVLSI.2011.2166282
Filename
6036210
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