Simeuro: A Hybrid CPU-GPU Parallel Simulator for Neuromorphic Computing Chips

With the success of deep learning, there have been numerous efforts to build hardware for it. One approach that is gaining momentum is neuromorphic computing with spiking neural networks (SNNs), which are multiplication-free and open the possibility of using analog computing via novel technologies....

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Veröffentlicht in:	IEEE transactions on parallel and distributed systems 2023-10, Vol.34 (10), p.1-16
Hauptverfasser:	Zhang, Huaipeng, Ho, Nhut-Minh, Dogukan, Yigit Polat, Chen, Peng, Wahib, Mohamed, Nguyen, Truong Thao, Meng, Jintao, Goh, Rick Siow Mong, Matsuoka, Satoshi, Luo, Tao, Wong, Weng-Fai
Format:	Artikel
Sprache:	eng
Schlagworte:	Behavioral sciences Biological neural networks Central processing units Chip Simulation Computational modeling CPUs Deep Learning Energy consumption Hardware Neural networks Neuromorphic Computing Neurons Routing Simulation System on chip Task analysis
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