As the models and the datasets to train deep learning (DL) models scale, system architects are faced with new challenges, one of which is the memory capacity bottleneck, where the limited physical ...

The conventional computing system in our laptops and mobile phones uses Von-Neumann architecture. Computing In-Memory (CiM) acts as the bottleneck for modern data-intensive applications like ...