AoCStream: All-on-Chip CNN Accelerator with Stream-Based Line-Buffer Architecture and Accelerator-Aware Pruning

Convolutional neural networks (CNNs) play a crucial role in many EdgeAI and TinyML applications, but their implementation usually requires external memory, which degrades the feasibility of such resource-hungry environments. To solve this problem, this paper proposes memory-reduction methods at the...

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Detalles Bibliográficos
Autores principales: Kang, Hyeong-Ju, Yang, Byung-Do
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575357/
https://www.ncbi.nlm.nih.gov/pubmed/37836934
http://dx.doi.org/10.3390/s23198104

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575357/
https://www.ncbi.nlm.nih.gov/pubmed/37836934
http://dx.doi.org/10.3390/s23198104

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