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TT-Edge: A Hardware-Software Co-Design for Energy-Efficient Tensor-Train Decomposition on Edge AI

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Kwak, Hyunseok, Lee, Kyeongwon, Min, Kyeongpil, Jung, Chaebin, Lee, Woojoo
Formato:	Preprint
Publicado:	2025
Materias:	Distributed, Parallel, and Cluster Computing Hardware Architecture
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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