Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/14188
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dc.contributor.authorÖz, I.-
dc.contributor.authorKaradaş, Ö.F.-
dc.date.accessioned2024-01-06T07:22:33Z-
dc.date.available2024-01-06T07:22:33Z-
dc.date.issued2022-
dc.identifier.issn0920-8542-
dc.identifier.urihttps://doi.org/10.1007/s11227-021-04026-6-
dc.identifier.urihttps://hdl.handle.net/11147/14188-
dc.description.abstractThe wide use of GPUs for general-purpose computations as well as graphics programs makes soft errors a critical concern. Evaluating the soft error vulnerability of GPGPU programs and employing efficient fault tolerance techniques for more reliable execution become more important. Protecting only the most error-sensitive program regions maintains an acceptable reliability level by eliminating the large performance overheads due to redundant operations. Therefore, fine-grained regional soft error vulnerability analysis is crucial for the systems targeting both performance and reliability. In this work, we present a regional fault injection framework and perform a detailed error propagation analysis to evaluate the soft error vulnerability of GPGPU applications. We evaluate both intra-kernel and inter-kernel vulnerabilities for a set of programs and quantify the severity of the data corruptions by considering metrics other than SDC rates. Our experimental study demonstrates that the code regions inside GPGPU programs exhibit different characteristics in terms of soft error vulnerability and the soft errors corrupting the variables propagate into the program output in several ways. We present the potential impact of our analysis by discussing the usage scenarios after we compile our observations acquired from our empirical work. © 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.en_US
dc.description.sponsorship119E011; Türkiye Bilimsel ve Teknolojik Araştirma Kurumu, TÜBITAKen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofJournal of Supercomputingen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectFault injectionen_US
dc.subjectGPGPU programsen_US
dc.subjectSoft error reliabilityen_US
dc.subjectFault toleranceen_US
dc.subjectProgram processorsen_US
dc.subjectRadiation hardeningen_US
dc.subjectReliability analysisen_US
dc.subjectError propagation analysisen_US
dc.subjectFault tolerance techniquesen_US
dc.subjectGeneral-purpose computationsen_US
dc.subjectGraphics programsen_US
dc.subjectPerformance and reliabilitiesen_US
dc.subjectReliability levelen_US
dc.subjectReliable executionen_US
dc.subjectVulnerability analysisen_US
dc.subjectError correctionen_US
dc.titleRegional soft error vulnerability and error propagation analysis for GPGPU applicationsen_US
dc.typeArticleen_US
dc.institutionauthor-
dc.departmentİzmir Institute of Technologyen_US
dc.identifier.volume78en_US
dc.identifier.issue3en_US
dc.identifier.startpage4095en_US
dc.identifier.endpage4130en_US
dc.identifier.scopus2-s2.0-85113722511en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1007/s11227-021-04026-6-
dc.authorscopusid37097877800-
dc.authorscopusid57236778300-
item.fulltextNo Fulltext-
item.openairetypeArticle-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.dept03.04. Department of Computer Engineering-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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