GPU and RISC-V acceleration for neuromorphic computing based on spiking neural networks: taxonomy, comparison, and open challenges
Neuromorphic computing has emerged as an event-driven, energy-efficient paradigm for brain-like information processing. Unlike conventional architectures, it unifies memory and computation to mitigate the von Neumann bottleneck, and it typically relies on spiking neural networks (SNNs) as its computational model. As SN...
Edris Zaman Farsa, Amirhossein Ilkhani, Marc Reichenbach et al.
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