Abstract Processing-in-memory (PIM) techniques have gained much attention from computer
architecture researchers, and significant research effort has been invested in exploring and …

A Generative Adversarial Network (GAN) is an adversarial learning approach which
empowers conventional deep learning methods by alleviating the demands of massive …

Most modern CPU architectures are based on the von Neumann principle, where memory
and processing units are separate entities. Although processing unit performance has …

Recently, the Logic-in-Memory (LiM) concept has been widely studied in the literature. This
paradigm represents one of the most efficient ways to solve the limitations of a Von …

Processing-in-Memory (PIM) is an emerging computing architecture that has gained
significant attention in recent times. It aims to maximize data movement efficiency by moving …

Memristors have been suggested for various applications, including nonvolatile memory and
neuromorphic systems. In contrast to traditional devices that rely purely on electron …

Medical imaging is an essential data source that has been leveraged worldwide in
healthcare systems. In pathology, histopathology images are used for cancer diagnosis …

This paper conducts a comprehensive study on intermittent computing within IoT
environments, emphasizing the interplay between different dataflows—row, weight, and …

The emergence of non-volatile memories (NVM) such as resistive-oxide random access
memory (RRAM), magnetoresistive random access memory (MRAM), and phase change …

The increasing complexity of real-life applications demands constant improvements of
microprocessor systems. One of the most frequently adopted microprocessor design scheme …