ESACT: An End-to-End Sparse Accelerator for Compute-Intensive Transformers via Local Similarity

Fuente: arXiv

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Bibliographic Details
Main Authors:	Liu, Hongxiang, Deng, Zhifang, Pu, Tong, Lu, Shengli
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Hardware Architecture
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2512.02403