ABSTRACT PCMs are Non-Volatile Memories (NVMs) that store data using phase-change
semiconductors, such as silicon-chalcogenide glass. In addition to increased integration …

Herein, a new approach for using the intelligence aspects of artificial intelligence for
knowledge discovery rather than device optimization in electromagnetic (EM) …

Nonvolatile memory (NVM) is a class of memory that exhibits persistence, similar to
secondary memory, while providing access speeds at least an order of two magnitudes …

In recent years, we are witnessing a trend toward in-memory computing for future
generations of computers that differs from traditional von-Neumann architecture in which …

The vast potential of memristor-based computation-in-memory (CIM) engines has mainly
triggered the mapping of best-suited applications. Nevertheless, with additional support …

Von Neumann-based architectures suffer from costly communication between CPU and
memory. This communication imposes several orders of magnitude more power and …

Graphics Processing Units (GPUs) are widely used for modern applications with huge data
sizes. However, the performance benefit of GPUs is limited by their memory capacity and …

Phase-change memory (PCM) and resistive memory (RRAM) are promising alternatives to
traditional memory technologies. However, both PCM and RRAM suffer from limited write …

New technologies for non-volatile memories combine the speed and byte addressability of
current memory technologies with the low cost, density, and non-volatility of current storage …

Recently, the value of data has been widely recognized, which highlights the significance of
data-centric computing in diversified application scenarios. In many cases, the data are …