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DFSynthesizer: Dataflow-based Synthesis of Spiking Neural Networks to Neuromorphic Hardware [article]

Shihao Song, Harry Chong, Adarsha Balaji, Anup Das, James Shackleford, Nagarajan Kandasamy
2021 arXiv   pre-print
Spiking Neural Networks (SNN) are an emerging computation model, which uses event-driven activation and bio-inspired learning algorithms.  ...  We propose DFSynthesizer, an end-to-end framework for synthesizing SNN-based machine learning programs to neuromorphic hardware. The proposed framework works in four steps.  ...  DFSynthesizer can incorporate both Artificial Neural Networks (ANNs) and Spiking Neural Networks (SNNs) in its workflow.  ... 
arXiv:2108.02023v1 fatcat:5yuttyxivnhb7klhhv7blniwhm