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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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021
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| Subjects: | |
| Online Access: | 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 http://umpir.ump.edu.my/id/eprint/35434/ |
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