A 13.7μJ/prediction 88% Accuracy CIFAR-10 Single-Chip Wired-logic Processor in 16-nm FPGA using Non-Linear Neural Network

• In this study, we propose a 13.7mJ/prediction 88% accuracy CIFAR-10 single-chip wired-logic processor in 16-nm FPGA by utilizing a newly developed 98%-pruned ultra-sparse, binary-weight nonlinear neural network (NNN) and a shift-register based pipelined wired-logic architecture. Compared with the state-of-the-art FPGA-based processor, 2,036 times better energy efficiency is achieved.