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...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE transactions on very large scale integration (VLSI) systems Vol. 30; no. 3; pp. 291 - 302
Main Authors:	Gao, Zhen, Zhang, Han, Yao, Yi, Xiao, Jiajun, Zeng, Shulin, Ge, Guangjun, Wang, Yu, Ullah, Anees, Reviriego, Pedro
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.03.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!