Compiling Spiking Neural Networks to Neuromorphic Hardware

Author:

Song Shihao1,Balaji Adarsha1,Das Anup1,Kandasamy Nagarajan1,Shackleford James1

Affiliation:

1. Drexel University, Philadelphia, PA, USA

Funder

National Science Foundation

Publisher

ACM

Cited by 31 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. Hierarchical Mapping of Large-Scale Spiking Convolutional Neural Networks Onto Resource-Constrained Neuromorphic Processor;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2024

2. Platform-Based Design of Embedded Neuromorphic Systems;Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing;2023-10-01

3. From Brain Models to Robotic Embodied Cognition: How Does Biological Plausibility Inform Neuromorphic Systems?;Brain Sciences;2023-09-13

4. GMap : An Open-source Efficient Compiler for Mapping any Network onto any Neuromophic Chip;Proceedings of the 2023 International Conference on Neuromorphic Systems;2023-08

5. Preserving Privacy of Neuromorphic Hardware From PCIe Congestion Side-Channel Attack;2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC);2023-06

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