Power-Efficient Accelerator Design for Neural Networks using Computation Reuse

Applications of neural networks in various fields of research and technology have expanded widely in recent years. In particular, applications with inherent tolerance to accuracy loss, such as signal processing and multimedia applications, are highly suited to the approximation property of neural networks. This approximation property has been exploited in many existing neural network accelerato…