Today performance and operational efficiency of computer systems on digital image
processing are exacerbated owing to the increased complexity of image processing. It is …

Embodiments are directed to a two-terminal resistive pro cessing unit (RPU) having a first
terminal, a second terminal and an active region. The active region effects a non-linear …

Technical solutions are described for implementing a convolutional neural network (CNN)
using resistive processing unit (RPU) array. An example method includes configuring an …

The rise of data-intensive computational loads has exposed the processor-memory
bottleneck in Von Neumann architectures and has reinforced the need for in-memory …

The article gives the estimation of the convergence-divergence indicators of development of
innovative and technological processes in circumpolar countries. The processes of …

Processing in-memory breaks von-Neumann based design principles to accelerate data-
intensive applications. While analog in-memory computing is extremely energy-efficient, the …

In-memory computing is a promising solution strategy for data-intensive applications to
circumvent the von Neumann bottleneck. Flow-based computing is the concept of …

Processing in-memory is a promising solution strategy for accelerating data-intensive
applications. While analog in-memory computing is extremely efficient, the limited precision …

We introduce a new computer-aided design approach based on free binary decision
diagrams (FBDDs) for implementing Boolean functions on crossbars using flow-based …

Since the fabrication of nanoscale memristors by HP Labs in 2008, there has been a
sustained interest in the use of crossbars of nanoscale memristors for digital storage and …