DocumentCode :
500936
Title :
Improving STT MRAM storage density through smaller-than-worst-case transistor sizing
Author :
Xu, Wei ; Chen, Yiran ; Wang, Xiaobin ; Zhang, Tong
Author_Institution :
Rensselaer Polytech. Inst., Troy, NY, USA
fYear :
2009
fDate :
26-31 July 2009
Firstpage :
87
Lastpage :
90
Abstract :
This paper presents a technique to improve the storage density of spin-torque transfer (STT) magnetoresistive random access memory (MRAM) in the presence of significant magnetic tunneling junction (MTJ) write current threshold variability. In conventional design practice, the nMOS transistor within each memory cell is sized to be large enough to carry a current larger than the worst-case MTJ write current threshold, leading to an increasing storage density penalty as the technology scales down. To mitigate such variability-induced storage density penalty, this paper presents a smaller-than-worst-case transistor sizing approach with the underlying theme of jointly considering memory cell transistor sizing and defect tolerance. Its effectiveness is demonstrated using 256 Mb STT MRAM design at 45 nm node as a test vehicle. Results show that, under a normalized write current threshold deviation of 20%, the overall memory die size can be reduced by more than 20% compared with the conventional worst-case transistor sizing design practice.
Keywords :
MOSFET; MRAM devices; STT MRAM storage density; current threshold variability; magnetic tunneling junction; magnetoresistive random access memory; memory cell transistor sizing; nMOS transistor; size 45 nm; smaller-than-worst-case transistor sizing; spin-torque transfer; variability-induced storage density penalty; Integrated circuit technology; MOSFETs; Magnetic tunneling; Magnetization; Permission; Random access memory; Switches; Testing; Tunneling magnetoresistance; Vehicles; STT MRAM; defect tolerance; transistor sizing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Design Automation Conference, 2009. DAC '09. 46th ACM/IEEE
Conference_Location :
San Francisco, CA
ISSN :
0738-100X
Print_ISBN :
978-1-6055-8497-3
Type :
conf
Filename :
5227194
Link To Document :
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