Abstract
Spiking neural networks (SNN) has been widely used to solve complex tasks such as pattern recognition, image classification and so on. The neuromorphic processors which use SNN to perform computation have been proved to be powerful and energy-efficient. These processors generally use Network-on-Chip (NoC) as the interconnect structure between neuromorphic cores. However, the connections between neurons in SNN are very dense. When a neuron fire, it will generate a large number of data packets. This will result in congestion and increase the packet transmission latency dramatically in NoC.
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