Dynamic Power Management for Neuromorphic Many-Core Systems

Author:

Hoppner SebastianORCID,Vogginger BernhardORCID,Yan YexinORCID,Dixius Andreas,Scholze Stefan,Partzsch JohannesORCID,Neumarker Felix,Hartmann StephanORCID,Schiefer StefanORCID,Ellguth Georg,Cederstroem Love,Plana Luis A.ORCID,Garside JimORCID,Furber SteveORCID,Mayr Christian

Funder

Seventh Framework Programme

Horizon 2020 Framework Programme

Deutsche Forschungsgemeinschaft

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Case Studies and Application-Driven Systems;Digital Innovations in Architecture, Engineering and Construction;2024

2. SFANC: Scalable and Flexible Architecture for Neuromorphic Computing;IEEE Transactions on Very Large Scale Integration (VLSI) Systems;2023-11

3. Hybrid Spiking and Artificial Neural Networks for Radar-Based Gesture Recognition;2023 8th International Conference on Frontiers of Signal Processing (ICFSP);2023-10-23

4. Performance models and energy-optimal scheduling of DNNs on many-core hardware with dynamic power management;Proceedings of the 2023 Workshop on Compilers, Deployment, and Tooling for Edge AI;2023-09-21

5. Synaptic Scaling and Optimal Bias Adjustments for Power Reduction in Neuromorphic Systems;2023 IEEE 66th International Midwest Symposium on Circuits and Systems (MWSCAS);2023-08-06

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