Non-volatile magnetic random-access memories (MRAMs), such as spin-transfer torque
MRAM and next-generation spin–orbit torque MRAM, are emerging as key to enabling low …

Neuromorphic computing takes inspiration from the brain to create energy-efficient hardware
for information processing, capable of highly sophisticated tasks. Systems built with standard …

The rapid increase in information in the big-data era calls for changes to information-
processing paradigms, which, in turn, demand new circuit-building blocks to overcome the …

Spintronic devices exploit the spin, as well as the charge, of electrons and could bring new
capabilities to the microelectronics industry. However, in order for spintronic devices to meet …

This book provides a structured treatment of the key principles and techniques for enabling
efficient processing of deep neural networks (DNNs). DNNs are currently widely used for …

Wearable devices are a fast-growing technology with impact on personal healthcare for both
society and economy. Due to the widespread of sensors in pervasive and distributed …

Magnetoresistive random access memory (MRAM) is regarded as a reliable persistent
memory technology because of its long data retention and robust endurance. Initial MRAM …

This paper presents an overview of emerging memory technologies. It begins with the
presentation of stand-alone and embedded memory technology evolution, since the …

Novel computational paradigms may provide the blueprint to help solving the time and
energy limitations that we face with our modern computers, and provide solutions to complex …

In this paper, we discuss array-level MTJ process, performance, and reliability requirements
for STT-MRAM operation in an L4 Cache application. We demonstrate 2 MB arrays of scaled …