From the discovery of giant magnetoresistance (GMR) to tunnel magnetoresistance (TMR),
their subsequent application in large capacity hard disk drives (HDDs) greatly speeded up …

Emerging device-based digital processing-in-memory (PIM) architectures have been
actively studied due to their energy and area efficiency derived from analog to digital …

Role of half-metallic ferromagnetic spinels is of great interest in spintronic and optoelectronic
energy-efficient devices. In this work, we report a systematic investigation on the structural …

Recent years have witnessed an increasing interest in the processing-in-memory (PIM)
paradigm in computing due to its promise to improve the performance through the reduction …

High resolution Fast Fourier Transform (FFT) is important for various applications while
increased memory access and parallelism requirement limits the traditional hardware. In this …

Spiking Neural Networks (SNNs) represent a biologically inspired computation model
capable of emulating neural computation in human brain and brain-like structures. The main …

Processing in memory (PiM) represents a promising computing paradigm to enhance
performance of numerous dataintensive applications. Variants performing computing directly …

In-memory computing (IMC) offloads parts of the computations to memory to fulfill the
performance and energy demands of applications such as neuromorphic computing …

Processing-in-memory (PIM) substrates can perform parallel computation directly within the
memory array. As a result, throughput performance and energy efficiency can reach …

Spin–orbit torque (SOT) has been considered as one of the promising technologies for the
next-generation magnetic random access memory (MRAM). So far, SOT has been widely …