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Analysis and Mitigation of Soft-errors in GPU-accelerated Hyperspectral Image Classifiers

Authors: Abed, Sergiu Mohamed; RODRIGUEZ CONDIA, JOSIE ESTEBAN; Sonza Reorda, Matteo; Guerrero Balaguera, Juan David; De Lucia, Gianluca; Lapegna, Marco;

Analysis and Mitigation of Soft-errors in GPU-accelerated Hyperspectral Image Classifiers

Abstract

This conference paper was submitted at DDECS2025. Due to storage constraints, this repository contains only part of the logs obtained in this work. All the logs can be found here: https://baltea.polito.it/owncloud/index.php/s/KbVH5WPL2Lhup1Q

Country
Italy
Keywords

Hyperspectral Image Classification, Hardware faults, AI, Soft errors, GPU, Edge Computing, AI; Edge Computing; GPU; Hardware faults; Hyperspectral Image Classification; Reliability; Soft errors, Reliability

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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green
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