A dual memory pathway spiking network with near-memory hardware achieves long-sequence accuracy using 40-60% fewer parameters and delivers over 4X throughput plus 5X energy efficiency gains.
arXiv preprint 22 arXiv:2510.27434 (2025)
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Distributed systems in biology, economics, and computing optimize productivity by converging on maximum feasible heterogeneity, with environmental demands and communication topology setting the limits.
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Algorithm-hardware co-design of neuromorphic networks with dual memory pathways
A dual memory pathway spiking network with near-memory hardware achieves long-sequence accuracy using 40-60% fewer parameters and delivers over 4X throughput plus 5X energy efficiency gains.
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Distributed systems in biology, economics, and computing optimize productivity by converging on maximum feasible heterogeneity, with environmental demands and communication topology setting the limits.