As we approach the end of Moore's law, many alternative devices are being explored to
satisfy the performance requirements of modern integrated circuits. At the same time, the …

Emerging non-volatile memories are getting new interest in the system design community.
They are used to design logic-in-memory circuits and propose alternatives to von-Neuman …

Quantum computers promise to solve hard mathematical problems such as integer
factorization and discrete logarithms in polynomial time, making standardized public-key …

To overcome the “von Neumann bottleneck,” methods to compute in memory are being
researched in many emerging memory technologies, including resistive RAMs (ReRAMs) …

The pervasive deployment of Deep Learning models has recently prompted apprehensions
regarding their ecological footprint, owing to the exorbitant levels of energy consumption …

This article proposes a practical, flexible, and reliable in-memory computing architecture for
resistive-memory-based logic designs. Our design uses a new RRAM-based polymorphic in …

In-memory computing (IMC) can significantly increase speed efficiency by significantly
reducing the time and energy consumption of memory access. Therefore, efficient storage …

The high data throughput and high energy efficiency required recently are increasingly
difficult to implement due to the von Neumann bottleneck. As a way to overcome this, Logic …

The flow of data between processing and memory units in contemporary computing systems
is their main performance and energy-efficiency bottleneck, often referred to as the 'von …

The increasing demand for data movement and energy consumption in physically separate
von Neumann architectures, where the processor and memory are distinct entities …