The emerging IoT edge applications demand fast and energy-efficient hardware
requirements for data processing. Conventional computing architectures are quite inefficient …

For today's Internet-of-Things (IoT) edge devices, there is an acute need for fast and power-
efficient hardware for an image processing task. Traditional hardware solutions with …

For memristive crossbar arrays, currently, no high-level design validation and early space
exploration tools exist in the literature. Such tools are essential to quickly verify the design …

For NOR-NOT based memristor crossbar architectures, we propose a novel approach to
address the fanout overhead problem. Instead of copying the logic value as inputs to the …

Crossbar architecture is one of the prominent candidates to enable memristor based in-
memory computing. Recent literature suggests that predominantly SPICE level simulations …

The growing demand for fast and energy-efficient hardware for resource-constrained
Internet of Things (IoT) edge devices has highlighted the limitations of conventional …

The efficiency of Von-Neumann architecture deteriorates due to memory wall problem [2],
attributable to the mismatch of bandwidth as memories are becoming slower than CPU. In …