Implementing CNNs using a linear array of full mesh CGRAs

This paper presents an implementation of a Convolutional Neural Network (CNN) algorithm using a linear array of full mesh dynamically and partially reconfigurable Coarse Grained Reconfigurable Arrays (CGRAs). Accelerating CNNs using GPUs and FPGAs is more common and there are few works that address...

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Detalhes bibliográficos
Autor principal: Mário, Valter (author)
Outros Autores: Lopes, João D. (author), Véstias, Mário (author), De Sousa, Jose (author)
Formato: conferenceObject
Idioma:eng
Publicado em: 2020
Assuntos:
Convolutional Neural Networks
Coarse Grained Reconfigurable Arrays
Reconfigurable computing
Embedded systems
Texto completo:http://hdl.handle.net/10400.21/11401
País:Portugal
Oai:oai:repositorio.ipl.pt:10400.21/11401

Texto Completo

http://hdl.handle.net/10400.21/11401

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