Enabling Resource-Aware Mapping of Spiking Neural Networks via Spatial Decomposition-Reference-Cited by-同舟云学术

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Enabling Resource-Aware Mapping of Spiking Neural Networks via Spatial Decomposition

Published:2021-09 Issue:3 Volume:13 Page:142-145
ISSN:1943-0663
Container-title:IEEE Embedded Systems Letters
language:
Short-container-title:IEEE Embedded Syst. Lett.

Author:

Balaji Adarsha,Song Shihao,Das Anup,Krichmar Jeffrey,Dutt Nikil,Shackleford James,Kandasamy Nagarajan,Catthoor Francky

Funder

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Computer Science,Control and Systems Engineering

Link

https://ieeexplore.ieee.org/ielam/4563995/9524350/9203952-aam.pdf

Cited by 13 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. A Design Flow for Scheduling Spiking Deep Convolutional Neural Networks on Heterogeneous Neuromorphic System-on-Chip;ACM Transactions on Embedded Computing Systems;2023-12-02

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

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

5. Efficient SNN multi-cores MAC array acceleration on SpiNNaker 2;Frontiers in Neuroscience;2023-08-07

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