E2ATST: A Temporal-Spatial Optimized Energy-Efficient Architecture for Training Spiking Transformer

Fuente: arXiv
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Main Authors: Ma, Yunhao, Lin, Yanyu, Li, Mingjing, Quan, Puli, Zhou, Chenlin, Zhang, Wenyue, Zhong, Zhiwei, Jia, Wanyi, Zhu, Xueke, Meng, Qingyan, Zhou, Huihui, An, Fengwei
Format: Preprint
Published: 2025
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author Ma, Yunhao
Lin, Yanyu
Li, Mingjing
Quan, Puli
Zhou, Chenlin
Zhang, Wenyue
Zhong, Zhiwei
Jia, Wanyi
Zhu, Xueke
Meng, Qingyan
Zhou, Huihui
An, Fengwei
author_facet Ma, Yunhao
Lin, Yanyu
Li, Mingjing
Quan, Puli
Zhou, Chenlin
Zhang, Wenyue
Zhong, Zhiwei
Jia, Wanyi
Zhu, Xueke
Meng, Qingyan
Zhou, Huihui
An, Fengwei
contents (1) Pengcheng Laboratory, (2) Southern University of Science and Technology, (3) Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, (4) University of Chinese Academy of Sciences
format Preprint
id arxiv_https___arxiv_org_abs_2508_00475
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle E2ATST: A Temporal-Spatial Optimized Energy-Efficient Architecture for Training Spiking Transformer
Ma, Yunhao
Lin, Yanyu
Li, Mingjing
Quan, Puli
Zhou, Chenlin
Zhang, Wenyue
Zhong, Zhiwei
Jia, Wanyi
Zhu, Xueke
Meng, Qingyan
Zhou, Huihui
An, Fengwei
Hardware Architecture
Neural and Evolutionary Computing
(1) Pengcheng Laboratory, (2) Southern University of Science and Technology, (3) Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, (4) University of Chinese Academy of Sciences
title E2ATST: A Temporal-Spatial Optimized Energy-Efficient Architecture for Training Spiking Transformer
topic Hardware Architecture
Neural and Evolutionary Computing
url https://arxiv.org/abs/2508.00475