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Spiking neural networks (SNNs) is a promising research direction to their ability to imitate certain functions of brain. Hardware acceleration of SNN can offer orders of magnitude increase in performance and power efficiency. However, traditional hardware description languages have a barrier for rapid development and prototyping of custom internal hardware mechanisms that affect hardware construction throughout the entire processor structure. Mainstream high-level design methods also have disadvantages, e.g. poor ...