Exploring neuromorphic computing based on spiking neural networks: Algorithms to hardware
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 …
attention lately due to its promise of reducing the computational energy, latency, as well as …
Domain wall memory: Physics, materials, and devices
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 …
vast range of digital applications. Magnetic hard disk drives (HDDs) currently fulfill the …
Advances in logic locking: Past, present, and prospects
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 …
modern System-on-Chip (SoC) architectures from a wide range of hardware security threats …
Spintronic devices: a promising alternative to CMOS devices
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 …
a solution for the present-day problem of increased power dissipation in electronic circuits …
Spin-transfer torque memories: Devices, circuits, and systems
Spin-transfer torque magnetic memory (STT-MRAM) has gained significant research interest
due to its nonvolatility and zero standby leakage, near unlimited endurance, excellent …
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
Traditional computing systems based on the von Neumann architecture are fundamentally
bottlenecked by data transfers between processors and memory. The emergence of data …
bottlenecked by data transfers between processors and memory. The emergence of data …
Ultralow energy domain wall device for spin-based neuromorphic computing
Neuromorphic computing (NC) is gaining wide acceptance as a potential technology to
achieve low-power intelligent devices. To realize NC, researchers investigate various types …
achieve low-power intelligent devices. To realize NC, researchers investigate various types …
Current-induced switching of a van der Waals ferromagnet at room temperature
Recent discovery of emergent magnetism in van der Waals magnetic materials (vdWMM)
has broadened the material space for developing spintronic devices for energy-efficient …
has broadened the material space for developing spintronic devices for energy-efficient …
MRIMA: An MRAM-based in-memory accelerator
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 …
accelerator for nonvolatile, flexible, and efficient in-memory computing. MRIMA transforms …
Quantum computing: fundamentals, implementations and applications
Quantum Computing is a technology, which promises to overcome the drawbacks of
conventional CMOS technology for high density and high performance applications. Its …
conventional CMOS technology for high density and high performance applications. Its …