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A Framework for the Analysis of Throughput-Constraints of SNNs on Neuromorphic Hardware.

, and . ISVLSI, page 193-196. IEEE, (2019)

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A Framework for the Analysis of Throughput-Constraints of SNNs on Neuromorphic Hardware., and . ISVLSI, page 193-196. IEEE, (2019)PyCARL: A PyNN Interface for Hardware-Software Co-Simulation of Spiking Neural Network., , , , , , and . IJCNN, page 1-10. IEEE, (2020)NeuSB: A Scalable Interconnect Architecture for Spiking Neuromorphic Hardware., , , , , and . IEEE Trans. Emerg. Top. Comput., 11 (2): 373-387 (April 2023)Dynamic Reliability Management in Neuromorphic Computing., , , , , , , and . CoRR, (2021)Design of Many-Core Big Little µBrains for Energy-Efficient Embedded Neuromorphic Computing., , , , , and . DATE, page 1011-1016. IEEE, (2022)Network architecture search of X-ray based scientific applications., , , , and . CoRR, (2024)NeuroXplorer 1.0: An Extensible Framework for Architectural Exploration with Spiking Neural Networks., , , , , , , , and . ICONS, page 10:1-10:9. ACM, (2021)On the role of system software in energy management of neuromorphic computing., , , and . CF, page 124-132. ACM, (2021)Compiling Spiking Neural Networks to Mitigate Neuromorphic Hardware Constraints., and . IGSC (Workshops), page 1-3. IEEE, (2020)Compiling Spiking Neural Networks to Neuromorphic Hardware., , , , and . LCTES, page 38-50. ACM, (2020)