Design of Many-Core Big Little μBrain for Energy-Efficient Embedded Neuromorphic Computing

M. Lakshmi Varshika, Adarsha Balaji, Federico Corradi +3

As spiking-based deep learning inference applications are increasing in embedded systems, these systems tend to integrate neuromorphic accelerators such as $\mu$Brain to improve ener…