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Analog crossbar arrays consisting of emerging memory devices can greatly alleviate the computational strain required by vector matrix multiplications for neural network applications. The ability to produce spin orbit torque-magnetic…

Mesoscale and Nanoscale Physics · Physics 2025-11-05 Samuel Liu , Chen-Yu Hu , Ming-Yuan Song , Xinyu Bao , Jean Anne C. Incorvia

Many key electronic technologies (e.g., large-scale computing, machine learning, and superconducting electronics) require new memories that are fast, reliable, energy-efficient, and of low-impedance at the same time, which has remained a…

Applied Physics · Physics 2020-01-15 Lijun Zhu , Lujun Zhu , Shengjie Shi , D. C. Ralph , R. A. Buhrman

This paper presents physical modeling and benchmarking for two-terminal spin-orbit torque magnetic random-access memory (2T-SOT-MRAM). The results indicate that the common SOT materials that provide only in-plane torque can provide little…

Mesoscale and Nanoscale Physics · Physics 2025-12-09 Md Nahid Haque Shazon , Piyush Kumar , Luqiao Liu , Daniel C. Ralph , Azad Naeemi

Hardware neural networks that implement synaptic weights with embedded non-volatile memory, such as spin torque memory (ST-MRAM), are a major lead for low energy artificial intelligence. In this work, we propose an approximate storage…

Emerging Technologies · Computer Science 2018-10-26 Nicolas Locatelli , Adrien F. Vincent , Damien Querlioz

We demonstrate for the first time full-scale integration of top-pinned perpendicular MTJ on 300 mm wafer using CMOS-compatible processes for spin-orbit torque (SOT)-MRAM architectures. We show that 62 nm devices with a W-based SOT…

Herein, a bit-wise Convolutional Neural Network (CNN) in-memory accelerator is implemented using Spin-Orbit Torque Magnetic Random Access Memory (SOT-MRAM) computational sub-arrays. It utilizes a novel AND-Accumulation method capable of…

Machine Learning · Computer Science 2019-04-18 Arman Roohi , Shaahin Angizi , Deliang Fan , Ronald F DeMara

The application of Magnetic Random-Access Memory (MRAM) in computing-in-memory (CIM) has gained significant attention. However, existing designs often suffer from high energy consumption due to their reliance on complex analog circuits for…

Hardware Architecture · Computer Science 2025-11-10 Deyang Yu , Chenchen Liu , Chuanjie Zhang , Xiao Fang , Weisheng Zhao

We report a spin-orbit torque(SOT) magnetoresistive random-access memory(MRAM)-based probabilistic binary neural network(PBNN) for resource-saving and hardware noise-tolerant computing applications. With the presence of thermal fluctuation,…

Emerging Technologies · Computer Science 2024-03-29 Yu Gu , Puyang Huang , Tianhao Chen , Chenyi Fu , Aitian Chen , Shouzhong Peng , Xixiang Zhang , Xufeng Kou

We report the use of spin-orbit torque (SOT) magnetoresistive random-access memory (MRAM) to implement a probabilistic binary neural network (PBNN) for resource-saving applications. The in-plane magnetized SOT (i-SOT) MRAM not only enables…

As spin-orbit-torque magnetic random-access memory (SOT-MRAM) is gathering great interest as the next-generation low-power and high-speed on-chip cache memory applications, it is critical to analyze the magnetic tunnel junction (MTJ)…

Applied Physics · Physics 2020-05-28 Xiang Li , Shy-Jay Lin , Mahendra DC , Yu-Ching Liao , Chengyang Yao , Azad Naeemi , Wilman Tsai , Shan X. Wang

In this paper, the intrinsic physical characteristics of spin-orbit torque (SOT) magnetoresistive random-access memory (MRAM) devices are leveraged to realize sigmoidal neurons in neuromorphic architectures. Performance comparisons with the…

Emerging Technologies · Computer Science 2020-06-03 Brendan Reidy , Ramtin Zand

The computing wall and data movement challenges of deep neural networks (DNNs) have exposed the limitations of conventional CMOS-based DNN accelerators. Furthermore, the deep structure and large model size will make DNNs prohibitive to…

Signal Processing · Electrical Eng. & Systems 2019-12-12 Geng Yuan , Xiaolong Ma , Sheng Lin , Zhengang Li , Caiwen Ding

Spin-Orbit Torque (SOT) Magnetic Random-Access Memories (MRAM) have shown promising results towards the realization of fast, non-volatile memory systems. Oxidation of the heavy-metal (HM) layer of the SOT-MRAM has been proposed as a method…

Using type-x spin-orbit torque (SOT) switching scheme, in which the easy axis (EA) of the ferromagnetic (FM) layer and the charge current flow direction are collinear, is possible to realize a lower-power-consumption, higher-density, and…

Mesoscale and Nanoscale Physics · Physics 2021-08-04 Yan-Ting Liu , Chao-Chung Huang , Kuan-Hao Chen , Yu-Hao Huang , Chia-Chin Tsai , Ting-Yu Chang , Chi-Feng Pai

Spin-transfer torque magnetoresistive random access memory (STT-MRAM) is an attractive alternative to current random access memory technologies due to its non-volatility, fast operation and high endurance. STT-MRAM does though have…

Mesoscale and Nanoscale Physics · Physics 2018-08-27 Noriyuki Sato , Fen Xue , Robert M. White , Chong Bi , Shan X. Wang

Approximate computing (AC) leverages the inherent error resilience and is used in many big-data applications from various domains such as multimedia, computer vision, signal processing, and machine learning to improve systems performance…

Emerging Technologies · Computer Science 2022-05-24 Farah Ferdaus , B. M. S. Bahar Talukder , Md Tauhidur Rahman

Spin Transfer Torque Random Access Memory (STT-RAM) has garnered interest due to its various characteristics such as non-volatility, low leakage power, high density. Its magnetic properties have a vital role in STT switching operations…

Hardware Architecture · Computer Science 2022-08-17 Saeed Seyedfaraji , Javad Talafy Daryani , Mohamed M. Sabry Aly , Semeen Rehman

Spin-Orbit Torque (SOT) Magnetic Random-Access Memory (MRAM) devices offer improved power efficiency, nonvolatility, and performance compared to static RAM, making them ideal, for instance, for cache memory applications. Efficient…

Spin-orbit-torque magnetic random access memory (SOT-MRAM) is a promising technology for the next generation of data storage devices. The main bottleneck of this technology is the high reversal current density threshold. This outstanding…

Mesoscale and Nanoscale Physics · Physics 2018-04-25 Yin Zhang , H. Y. Yuan , X. S. Wang , X. R. Wang

Stateful logic is a promising processing-in-memory (PIM) paradigm to perform logic operations using emerging nonvolatile memory cells. While most stateful logic circuits to date focused on technologies such as resistive RAM, we propose two…

Emerging Technologies · Computer Science 2022-08-02 Barak Hoffer , Shahar Kvatinsky
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