Towards Efficient RRAM-based Quantized Neural Networks Hardware: State-of-the-art and Open Issues

O. Krestinskaya, L. Zhang, K. N. Salama

The increasing amount of data processed on edge and the demand for reducing the energy consumption for large neural network architectures have initiated the transition from traditi…