Randomize and Match: Exploiting Irregular Sparsity for Energy Efficient Processing in SNNs-Reference-Cited by-同舟云学术

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Randomize and Match: Exploiting Irregular Sparsity for Energy Efficient Processing in SNNs

Published:2022-10 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 40th International Conference on Computer Design (ICCD)
language:
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Author:

Liu Fangxin¹,Wang Zongwu,Zhao Wenbo,Chen Yongbiao,Yang Tao,Yang Xiaokang¹,Jiang Li¹

Affiliation:

1. Shanghai Jiao Tong University

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9978287/9978272/09978437.pdf?arnumber=9978437

Reference14 articles.

1. SATO

2. 14.5 Eyeriss: An energy-efficient reconfigurable accelerator for deep convolutional neural networks

3. Via: A smart scratchpad for vector units with application to sparse matrix computations;pavonetal;HPCA,2021

4. Rmp-snn: Residual membrane potential neuron for enabling deeper high-accuracy and low-latency snn;han;CVPR,2020

5. Bsnn: Towards faster and better conversion of artificial neural networks to snns with bistable neurons;li,2021

Cited by 1 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. Stellar: Energy-Efficient and Low-Latency SNN Algorithm and Hardware Co-Design with Spatiotemporal Computation;2024 IEEE International Symposium on High-Performance Computer Architecture (HPCA);2024-03-02

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