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Single-Reference-Based Multi-Level Cell Sensing Scheme for Spin-Orbit Torque MRAM

delete2025-04-01
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PRE
AI
S
Seongmin Ahn
T
Taehui Na *
DOI:10.1109/TCSI.2025.3556566delete
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Abstract

Abstract

En 中文
Spin-orbit torque magnetic random access memory (SOT-MRAM) is a strong candidate to replace static RAM and dynamic RAM due to its high speed, near-zero standby power, and high density. Moreover, employing multi-level cell (MLC) techniques can further increase storage density. However, there are several challenges when sensing MLC: 1) The sensing margin is too small. 2) Three references and several different sensing are required to distinguish four states. As a result, significant read yield degradation, area overhead, and performance penalty are unavoidable. There are two conceptual methods for sensing MLC. The one-step parallel sensing scheme (SS) allows for data reading at once, but suffers from low read yield due to the offset of sensing circuit. On the other hand, the two-step SS using offset-cancellation technique can achieve a higher read yield but requires twice the time. To address these challenges, the single-reference-based MLC-SS using offset-cancellation technique is proposed. HSPICE simulation results, based on industry-compatible 28 nm model parameters demonstrate that the proposed MLC-SS can achieve a comparable read yield of 94.19% compared to 86.17% for the one-step parallel SS and 96.77% for the two-step SS, while requiring only one reference and incurring just a 20% increase in sensing time.
Keywords:
Sensors
Magnetic tunneling
Random access memory
Circuits
Resistance
Torque
Nonvolatile memory
Transistors
Inverters
Costs
Multi-level cell (MLC)
single-level cell (SLC)
read yield
sensing circuit (SC)
sense amplifier (SA)
sensing scheme (SS)
spin-orbit torque MRAM (SOT-MRAM)

Journal

IEEE Transactions on Circuits and Systems I-Regular Papers cover
IEEE Transactions on Circuits and Systems I-Regular Papers
IF:
5.2
Papers:
9.7K
Citations:
2.2W

Organization

I
incheon national university
Scholars:
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Papers: 4.3K
Citations: 4