Flexible Convolver for Convolutional Neural Networks Deployment onto Hardware-Oriented Applications

Flexible Convolver for Convolutional Neural Networks Deployment onto Hardware-Oriented Applications

This paper introduces a flexible convolver capable of adapting to the different convolution layer configurations of state-of-the-art Convolution Neural Networks (CNNs). The use of two proposed programmable components achieves this adaptability. A Programmable Line Buffer (PLB) based on Programmable...

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Bibliographic Details
Main Authors: Moisés Arredondo-Velázquez, Paulo Aaron Aguirre-Álvarez, Alfredo Padilla-Medina, Alejandro Espinosa-Calderon, Juan Prado-Olivarez, Javier Diaz-Carmona
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Applied Sciences
Subjects:
convolutional neural networks (CNN)
hardware accelerators
systolic array
field programmable gate arrays (FPGA)
embedded systems
Online Access:https://www.mdpi.com/2076-3417/13/1/93

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https://www.mdpi.com/2076-3417/13/1/93

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