DNN Engine: A 28-nm Timing-Error Tolerant Sparse Deep Neural Network Processor for IoT Applications.

This paper presents a 28-nm system-on-chip (SoC) for Internet of things (IoT) applications with a programmable accelerator design that implements a powerful fully connected deep neural network (DNN) classifier. To reach the required low energy consumption, we exploit the key properties of neural network algorithms: parallelism, data reuse, small/sparse data, and noise tolerance. We map the algorit...