Memory Bandwidth and Energy Efficiency Optimization of Deep Convolutional Neural Network Accelerators.

Deep convolutional neural networks (DNNs) achieve state-of-the-art accuracy but at the cost of massive computation and memory operations. Although highly-parallel devices effectively meet the requirements of computation, energy efficiency is still a tough nut.