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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 ...

Approbation of software design technique in hardware field nowadays is an obvious trend. However, hardware cores with complex microarchitecture are not sufficiently supported by modern design tools. This happens because of remaining focus on structural design rather than designing abstract mechanisms of micro-operations scheduling inside the hardware and their explicit mapping on EDA components. In the article, original formulation of gap between the needed and currently available hardware design methods and tools...

Raising abstraction level of designing of custom digital circuits is a major scientific and practical problem that attracts a lot of academic and industrial efforts nowadays. However, existing approaches to handling of this problem typically do not provide sufficient means of defining individual domain- and project-specific custom-level microarchitectural decisions being directed by custom user specification that coordinates their application via specialized controls embedded in this specification. In the article,...