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Enhancing Computation-Efficiency of Deep Neural Network Processing on Edge Devices through Serial/Parallel Systolic Computing

In recent years, deep neural networks (DNNs) have addressed new applications with intelligent autonomy, often achieving higher accuracy than human experts. This capability comes at the expense of the ever-increasing complexity of emerging DNNs, causing enormous challenges while deploying on resource...

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Principais autores: Iraj Moghaddasi, Byeong-Gyu Nam
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2024-07-01
coleção:Machine Learning and Knowledge Extraction
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Acesso em linha:https://www.mdpi.com/2504-4990/6/3/70
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