UniSpike eliminates address redundancy in spike packets via co-design of scheduling, runtime assembly hardware, and SNN partitioning, reporting 1.93x average traffic reduction, 1.77x speedup, and 1.50x energy improvement.
Syst., Man, Cybern.: Syst.54, 8 (2024), 5137–5149
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.NE 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
UniSpike: Accelerating Spiking Neural Networks on Neuromorphic Systems via Eliminating Address Redundancy
UniSpike eliminates address redundancy in spike packets via co-design of scheduling, runtime assembly hardware, and SNN partitioning, reporting 1.93x average traffic reduction, 1.77x speedup, and 1.50x energy improvement.