J SWof 5.5 MA/cm2 and RA of 5.2-Ω · μm2 STT-MRAM Technology for LLC Application

Due to the complexity of device processing, the trade-off between yield and area has resulted in diminishing rate of scaling for the high-density static random access memory (SRAM) cell at advanced CMOS nodes. An introduction of extreme ultraviolet (EUV) and multipatterning has added additional cost...

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Bibliographic Details
Published inIEEE transactions on electron devices Vol. 67; no. 9; p. 3618
Main Authors Sakhare, Sushil, Rao, Siddharth, Perumkunnil, Manu, Couet, Sebastien, Crotti, Davide, Simon Van Beek, Furnemont, Arnaud, Catthoor, Francky, Kar, Gouri Sankar
Format Journal Article
LanguageEnglish
Published New York The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 01.01.2020
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Summary:Due to the complexity of device processing, the trade-off between yield and area has resulted in diminishing rate of scaling for the high-density static random access memory (SRAM) cell at advanced CMOS nodes. An introduction of extreme ultraviolet (EUV) and multipatterning has added additional cost to technology in order to realize 3-D device structure and ultrascaled metal routing. In this era, spin-transfer torque (STT)-MRAM technology can provide an alternative to high-density SRAM and for the last level cache (LLC) applications. In this article, we discuss the memory design and technology tradeoff to enable the STT-MRAM as a viable option. We have realized the technology over 300-mm wafer, measuring 1 million samples to build a SPICE model for circuit simulation. Occupying up to 83.3% of an area that of SRAM macro has been designed and simulated for the scaled 5-nm CMOS node. The simulated MRAM macro shows the best read and write access time of 3.1 and 6.2 ns, respectively. Magnetic tunneling junction (MTJ) pillar of 38-nm diameter is realized at 90-nm pitch, measuring resistance area (RA) of 5.2-[Formula Omitted], [Formula Omitted] of 5.5 MA/cm2 with improved [Formula Omitted]avg of 70, and breakdown voltage of 0.99 V. The energy comparison shows increasing gains versus SRAM for the increasing cache sizes crossing over at of 0.3 and 4 MB for the single-cycle read and write operations, respectively.
ISSN:0018-9383
1557-9646
DOI:10.1109/TED.2020.3012123