POMMEL: Exploring Off-Chip Memory Energy & Power Consumption in Convolutional Neural Network Accelerators

Reducing the power and energy consumption of Convolutional Neural Network (CNN) Accelerators is becoming an increasingly popular design objective for both cloud and edge-based settings. Aiming towards the design of more efficient accelerator systems, the accelerator architect must understand how different design choices impact both power and energy consumption. The purpose of this work is to enabl...