EFA-Trans: An Efficient and Flexible Acceleration Architecture for Transformers

The topic of transformers is rapidly emerging as one of the most important key primitives in neural networks. Unfortunately, most hardware designs for transformers are deficient, either hardly considering the configurability of the design or failing to realize the complete inference process of trans...

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Bibliographic Details
Main Authors: Xin Yang, Tao Su
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/11/21/3550