With the widespread use of electronic devices in embedding or processing sensitive
information, new hardware security primitives have emerged to improve the shortcomings of …

Spin Transfer Torque Magnetic Random Access Memory (STT-MRAM), as one of the most
promising emerging memory technology for on-chip memory, offers many advantageous …

Brain-inspired hyperdimensional computing (HDC) offers much more efficient computing
compared to other classical deep learning and related machine learning algorithms. Unlike …

Neural Networks (NN) can be efficiently accelerated in a neuromorphic fabric based on
emerging resistive non-volatile memories (NVM), such as Spin Transfer Torque Magnetic …

Emerging memristor-based architectures are promising for data-intensive applications as
these can enhance the computation efficiency, solve the data transfer bottleneck and at the …

Emerging non-volatile memories facilitate the Computation in Memory (CiM) paradigm.
Performing operations with the concept of CiM plays a crucial role in the efficiency …

The spin-transfer torque magnetic random access memory (STT-MRAM) is an emerging
memory technology with several distinctive advantages such as nonvolatility, high density …

Electromigration (EM) has emerged as a major reliability concern for interconnects in
advanced technology nodes. Most of the existing EM analysis works focus on the power …

Deep neural networks (DNNs) are gaining increasing attention and usage in many fields
related to artificial intelligence and cognitive processing. Due to challenges associated with …

To overcome the bottleneck of the classical processor-centric architectures, Computation-in-
Memory (CiM) is a promising paradigm where operations are performed directly in memory …