To reduce the switching delay, area overhead, and power consumption in the magnetic
tunnel junction (MTJ)-based memories, this article presents a double data rate magnetic …

Conventional von Neumann architecture suffers from bottlenecks in computing performance
and power consumption due to frequent data exchange between memory and processing …

STT-MRAM is regarded as an extremely promising NVM technology for replacing SRAM-
based on-chip memories. While STT-MRAM memories benefit from ultra-low leakage power …

Convolutional Neural Networks (CNNs) have significantly impacted embedded system
applications across various domains. However, this exacerbates the real-time processing …

Energy harvesting is considered to be a substitute for batteries in many modern systems.
Systems based on energy harvesting receive environmental energies from sources such as …

Spin Transfer Torque Magnetic RAM (STT-MRAM) is one of the most promising on-chip
technologies, which delivers high density, non-volatility, and near-zero leakage power …

This article presents an overview of the recent developments in the magnetic random access
memory (MRAM) for approximate computing. The key technique of approximate computing …