High-performance video content recognition with long-term recurrent convolutional network for FPGA

FPGA is a promising candidate for the acceleration of Deep Neural Networks (DNN) with improved latency and energy consumption compared to CPU and GPU-based implementations. DNNs use sequences of layers of regular computation that are well suited for HLS-based design for FPGA. However, optimizing lar...

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Veröffentlicht in:	International Conference on Field-programmable Logic and Applications S. 1 - 4
Hauptverfasser:	Xiaofan Zhang, Xinheng Liu, Ramachandran, Anand, Chuanhao Zhuge, Shibin Tang, Peng Ouyang, Zuofu Cheng, Rupnow, Kyle, Deming Chen
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	Ghent University 01.09.2017
Schlagworte:	Field programmable gate arrays IP networks Mathematical model Neural networks Optimization Quantization (signal) Resource management
ISSN:	1946-1488
Online-Zugang:	Volltext
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