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An ultra-low cost and multicast-enabled asynchronous NoC for neuromorphic edge computing
Biological brains are increasingly taken as a guide toward more efficient forms of computing.
The latest frontier considers the use of spiking neural-network-based neuromorphic …
The latest frontier considers the use of spiking neural-network-based neuromorphic …
An efficient multicast addressing encoding scheme for multi-core neuromorphic processors
Multi-core neuromorphic processors are becoming increasingly significant due to their
energy-efficient local computing and scalable modular architecture, particularly for event …
energy-efficient local computing and scalable modular architecture, particularly for event …
Scaling Effects of Transistor Leakage Current and IR Drop on 1T1R Memory Arrays
1T1R (1-transistor-1-resistor) memory crossbar arrays represent a promising solution for
compute-in-memory matrix-vector multiplication accelerators and embedded or storage …
compute-in-memory matrix-vector multiplication accelerators and embedded or storage …
Asynchronous Arbitration Circuit Optimization for Multicore Neuromorphic Processors
Spiking Neural Networks (SNNs), with their significant advantages of low power
consumption and low latency, are a promising approach for edge computing and have …
consumption and low latency, are a promising approach for edge computing and have …