Abstract: Implementing digital computing-in-memory (DCIM) based on resistive memory (RRAM) faces several critical challenges due to the small signal margin, large device variations, and large energy- ...

However, it still suffers low storage density, repetitive readout, and redundant comparisons. In this brief, an RRAM-based CIM macro is proposed for efficient AdderNet with the following innovations.

Thin Film and Nanoscience Laboratory, Department of Physics, Tripura University, Suryamaninagar, Agartala 799022, West Tripura, Tripura India ...

In view of the growing volume of data, there is a notable research focus on hardware that offers high computational performance with low power consumption. Notably, neuromorphic computing, ...