Reconsidering the energy efficiency of spiking neural networks

Spiking neural networks (SNNs) are generally regarded as more energy-efficient because they do not use multiplications. However, most SNN works only consider the counting of additions to evaluate energy consumption, neglecting other overheads such as memory accesses and data movement operations. Thi...

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Hauptverfasser:	Yan, Zhanglu, Bai, Zhenyu, Wong, Weng-Fai
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Learning Computer Science - Neural and Evolutionary Computing
Online-Zugang:	Volltext bestellen
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