Flare: An FPGA-Based Full Precision Low Power CNN Accelerator with Reconfigurable Structure

Flare: An FPGA-Based Full Precision Low Power CNN Accelerator with Reconfigurable Structure

Convolutional neural networks (CNNs) have significantly advanced various fields; however, their computational demands and power consumption have escalated, posing challenges for deployment in low-power scenarios. To address this issue and facilitate the application of CNNs in power constrained envir...

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Bibliographic Details
Main Authors:	Yuhua Xu, Jie Luo, Wei Sun
Format:	Article
Language:	English
Published:	MDPI AG 2024-03-01
Series:	Sensors
Subjects:	FPGA accelerator convolutional neural networks full precision design space exploration dynamic partial reconfiguration
Online Access:	https://www.mdpi.com/1424-8220/24/7/2239

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