Kernel and layer vulnerability factor to evaluate object detection reliability in GPUs
Kernel and layer vulnerability factor to evaluate object detection reliability in GPUs
About this item
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Author / Creator
Publisher
Beijing: The Institution of Engineering and Technology
Journal title
Language
English
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Publication information
Publisher
Beijing: The Institution of Engineering and Technology
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Scope and Contents
Contents
Video recognition applications running on Graphics Processing Unit are composed of heterogeneous software portions, such as kernels or layers for neural networks. The authors propose the concepts of kernel vulnerability factor (KVF) and layer vulnerability factor (LVF), which indicate the probability of faults in a kernel or layer to affect the com...
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Full title
Kernel and layer vulnerability factor to evaluate object detection reliability in GPUs
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_proquest_journals_3092307818
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3092307818
Other Identifiers
ISSN
1751-8601,1751-861X,2095-882X
E-ISSN
1751-861X,2589-0514
DOI
10.1049/iet-cdt.2018.5026
