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

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Liu, Hongxiang, Deng, Zhifang, Pu, Tong, Lu, Shengli
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Hardware Architecture
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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