TinyFormer: Efficient Transformer Design and Deployment on Tiny Devices

Developing deep learning models on tiny devices (e.g. Microcontroller units, MCUs) has attracted much attention in various embedded IoT applications. However, it is challenging to efficiently design and deploy recent advanced models (e.g. transformers) on tiny devices due to their severe hardware re...

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Hauptverfasser:	Yang, Jianlei, Liao, Jiacheng, Lei, Fanding, Liu, Meichen, Chen, Junyi, Long, Lingkun, Wan, Han, Yu, Bei, Zhao, Weisheng
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Hardware Architecture Computer Science - Learning
Online-Zugang:	Volltext bestellen
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