The impact of the soft errors in convolutional neural network on GPUS: Alexnet as case study

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The impact of the soft errors in convolutional neural network on GPUS: Alexnet as case study

Convolutional Neural Networks (CNNs) have been increasingly deployed in many applications, including safety critical system such as healthcare and autonomous vehicles. Meanwhile, the vulnerability of CNN model to soft errors (e.g., caused by radiation mduced) rapidly increases, thus reliability is c...

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Bibliographic Details
Main Authors:	Adam Ismail Hammad, Khalid, Mohamed Abdelaziz, Izzeldin Ibrahim, Younis, Younis M.
Format:	Article
Language:	English
Published:	Elsevier 2021
Subjects:	QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/35434/ http://umpir.ump.edu.my/id/eprint/35434/1/The%20impact%20of%20the%20soft%20errors%20in%20convolutional%20neural%20network%20on%20GPUS_Alexnet%20as%20case%20study.pdf

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