The rising overheads of data-movement and limitations of general-purpose processing
architectures have led to a huge surge in the interest in “processing-in-memory”(PIM) …

Algorithms for data-analytics executed on classical Von Neumann architectures proved
highly energy inefficient. In-Memory Computing have been indicated as a practical solution …

Processing-in-Memory (PIM) based on Resistive Random Access Memory (RRAM) is an
emerging acceleration architecture for artificial neural networks. This paper proposes an …

Magnetoresistive random-access memory (MRAM) is becoming more and more attractive in
industry because of its promising prospects for replacing or extending various well …

To live in the information society means to be surrounded by billions of electronic devices
full of sensors that constantly acquire data. This enormous amount of data must be …

Internet of Things (IoT) has built a network with billions of connected devices which generate
massive volumes of data. Processing large data on existing systems requires significant …

The Von Neumann architecture is one of the most widely spread nowadays. It is composed
of a CPU, a storage for data and instructions and interconnections. However, with the …

High-performance processors and emerging deep learning applications require a
tremendous amount of data access. Meeting the demands of this bandwidth within the …