Exploring neuromorphic computing based on spiking neural networks: Algorithms to hardware

N Rathi, I Chakraborty, A Kosta, A Sengupta… - ACM Computing …, 2023 - dl.acm.org
Neuromorphic Computing, a concept pioneered in the late 1980s, is receiving a lot of
attention lately due to its promise of reducing the computational energy, latency, as well as …

Domain wall memory: Physics, materials, and devices

D Kumar, T Jin, R Sbiaa, M Kläui, S Bedanta, S Fukami… - Physics Reports, 2022 - Elsevier
Digital data, generated by corporate and individual users, is growing day by day due to a
vast range of digital applications. Magnetic hard disk drives (HDDs) currently fulfill the …

Advances in logic locking: Past, present, and prospects

HM Kamali, KZ Azar, F Farahmandi… - Cryptology ePrint …, 2022 - eprint.iacr.org
Logic locking is a design concealment mechanism for protecting the IPs integrated into
modern System-on-Chip (SoC) architectures from a wide range of hardware security threats …

Spintronic devices: a promising alternative to CMOS devices

P Barla, VK Joshi, S Bhat - Journal of Computational Electronics, 2021 - Springer
The field of spintronics has attracted tremendous attention recently owing to its ability to offer
a solution for the present-day problem of increased power dissipation in electronic circuits …

Spin-transfer torque memories: Devices, circuits, and systems

X Fong, Y Kim, R Venkatesan, SH Choday… - Proceedings of the …, 2016 - ieeexplore.ieee.org
Spin-transfer torque magnetic memory (STT-MRAM) has gained significant research interest
due to its nonvolatility and zero standby leakage, near unlimited endurance, excellent …

Resistive crossbars as approximate hardware building blocks for machine learning: Opportunities and challenges

I Chakraborty, M Ali, A Ankit, S Jain, S Roy… - Proceedings of the …, 2020 - ieeexplore.ieee.org
Traditional computing systems based on the von Neumann architecture are fundamentally
bottlenecked by data transfers between processors and memory. The emergence of data …

Ultralow energy domain wall device for spin-based neuromorphic computing

D Kumar, HJ Chung, JP Chan, T Jin, ST Lim… - ACS …, 2023 - ACS Publications
Neuromorphic computing (NC) is gaining wide acceptance as a potential technology to
achieve low-power intelligent devices. To realize NC, researchers investigate various types …

Current-induced switching of a van der Waals ferromagnet at room temperature

SN Kajale, T Nguyen, CA Chao, DC Bono… - Nature …, 2024 - nature.com
Recent discovery of emergent magnetism in van der Waals magnetic materials (vdWMM)
has broadened the material space for developing spintronic devices for energy-efficient …

MRIMA: An MRAM-based in-memory accelerator

S Angizi, Z He, A Awad, D Fan - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In this paper, we propose MRIMA, as a novel magnetic RAM (MRAM)-based in-memory
accelerator for nonvolatile, flexible, and efficient in-memory computing. MRIMA transforms …

Quantum computing: fundamentals, implementations and applications

HA Bhat, FA Khanday, BK Kaushik… - IEEE Open Journal …, 2022 - ieeexplore.ieee.org
Quantum Computing is a technology, which promises to overcome the drawbacks of
conventional CMOS technology for high density and high performance applications. Its …