Currently, data-intensive applications are gaining popularity. Together with this trend,
processing-in-memory (PIM)–based systems are being given more attention and have …

This paper presents a general modeling method for threshold-type multivalued memristors.
Through this memristor modeling method, it is very simple to establish threshold-type …

Data-intensive applications are poised to benefit directly from processing-in-memory
platforms, such as memristive Memory Processing Units, which allow leveraging data …

In order to overcome the von Neumann bottleneck, recently the paradigm of in-memory
computing has emerged. Here, instead of transferring data from the memory to the CPU for …

In-memory computing (IMC) aims at solving the performance gap between CPU and
memories introduced by the memory wall. However, general-purpose IMC does not consider …

Deep learning (DL) applications are becoming in-creasingly ubiquitous. However, recent
research has highlighted a number of reliability concerns associated with deep neural …

The traditional Von-Neumann architecture is reaching its limits and finding it difficult to cope
up with the ever-increasing demands of modern workloads like artificial intelligence. This …

Internet of Underground Things (IoUT) requires numerous devices performing different tasks
such as sensing, computation, storage and transmission etc., which is crucial for various …

Extensive development of new neuromorphic element base–non-volatile memory elements
based on new physical principles (ReRAM, FRAM etc.) is conducted. These memory …

In-memory computing using nonvolatile memory is a promising pathway to accelerate data-
intensive applications. While substantial research efforts have been dedicated to executing …