A high performance FPGA-based accelerator for large-scale convolutional neural networks

In recent years, convolutional neural networks (CNNs) based machine learning algorithms have been widely applied in computer vision applications. However, for large-scale CNNs, the computation-intensive, memory-intensive and resource-consuming features have brought many challenges to CNN implementat...

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Veröffentlicht in:	International Conference on Field-programmable Logic and Applications S. 1 - 9
Hauptverfasser:	Huimin Li, Xitian Fan, Li Jiao, Wei Cao, Xuegong Zhou, Lingli Wang
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	EPFL 01.08.2016
Schlagworte:	AlexNet Bandwidth Computational modeling Convolution convolutional neural networks memory bandwidth Neurons Parallel processing parallelism pipeline System-on-chip Throughput
ISSN:	1946-1488
Online-Zugang:	Volltext
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