Comparison of Vitis-AI and FINN for implementing convolutional neural networks on FPGA

Convolutional neural networks (CNNs) are essential for image classification and detection, and their implementation in embedded systems is becoming increasingly attractive due to their compact size and low power consumption. Field-Programmable Gate Arrays (FPGAs) have  emerged as a promising option,...

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Detalles Bibliográficos
Autores principales: Urbano Pintos, Nicolás, Lacomi, Héctor, Lavorato, Mario
Formato: Artículo publishedVersion
Lenguaje:Español
Publicado: FIUBA 2024
Materias:
FPGA
CNN
FINN
Vitis-AI
Quantization
Cuantización
Acceso en línea:https://elektron.fi.uba.ar/elektron/article/view/200
https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=elektron&d=200_oai
Aporte de:
Repositorio Digital de la Universidad de Buenos Aires (UBA) de Universidad de Buenos Aires

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