Soft Error Tolerant Convolutional Neural Networks on FPGAs With Ensemble Learning

Convolutional neural networks (CNNs) are widely used in computer vision and natural language processing. Field-programmable gate arrays (FPGAs) are popular accelerators for CNNs. However, if used in critical applications, the reliability of FPGA-based CNNs becomes a priority because FPGAs are prone...

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Vydané v:	IEEE transactions on very large scale integration (VLSI) systems Ročník 30; číslo 3; s. 291 - 302
Hlavní autori:	Gao, Zhen, Zhang, Han, Yao, Yi, Xiao, Jiajun, Zeng, Shulin, Ge, Guangjun, Wang, Yu, Ullah, Anees, Reviriego, Pedro
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.03.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Artificial neural networks Computer vision Convolution Convolutional neural networks Convolutional neural networks (CNNs) ensemble Ensemble learning fault injection Fault tolerant systems Field programmable gate arrays field-programmable gate array (FPGA) accelerator Natural language processing Neural networks Random access memory Redundancy Reliability Reliability analysis Robustness soft error tolerance Soft errors System reliability Systems analysis
ISSN:	1063-8210, 1557-9999
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