GPU and RISC-V acceleration for neuromorphic computing based on spiking neural networks: taxonomy, comparison, and open challenges
This survey reviews 71 studies published between 2015 and 2025 and organizes them into a taxonomy that classifies GPU works into simulation frameworks, training-acceleration techniques, large-scale and multi-GPU simulation, and application deployments, and RISC-V works into instruction-set extensions and tightly-couple...
Edris Zaman Farsa, Amirhossein Ilkhani, Marc Reichenbach et al.
· Neuromorphic Computing and E... · 0 citations