Nondeterministic Impact of CPU Multithreading on Training Deep Learning Systems

Xiao, G; Liu, J; Zheng, Z; Sui, Y

Nondeterministic Impact of CPU Multithreading on Training Deep Learning Systems

Xiao, G Liu, J Zheng, Z Sui, Y

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2021 IEEE 32nd International Symposium on Software Reliability Engineering (ISSRE), 2021, 00, pp. 557-568
Issue Date:: 2021-10-28

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Full metadata record

Field	Value	Language
dc.contributor.author	Xiao, G
dc.contributor.author	Liu, J
dc.contributor.author	Zheng, Z
dc.contributor.author	Sui, Y https://orcid.org/0000-0002-9510-6574
dc.date	2021-10-25
dc.date.accessioned	2022-05-20T14:06:31Z
dc.date.available	2022-05-20T14:06:31Z
dc.date.issued	2021-10-28
dc.identifier.citation	2021 IEEE 32nd International Symposium on Software Reliability Engineering (ISSRE), 2021, 00, pp. 557-568
dc.identifier.uri	http://hdl.handle.net/10453/157575
dc.language	en
dc.publisher	IEEE
dc.relation	http://purl.org/au-research/grants/arc/DP200101328
dc.relation.ispartof	2021 IEEE 32nd International Symposium on Software Reliability Engineering (ISSRE)
dc.relation.ispartof	2021 IEEE 32nd International Symposium on Software Reliability Engineering (ISSRE)
dc.relation.isbasedon	10.1109/issre52982.2021.00063
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Nondeterministic Impact of CPU Multithreading on Training Deep Learning Systems
dc.type	Conference Proceeding
utslib.citation.volume	00
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access	*
dc.date.updated	2022-05-20T14:06:29Z
pubs.finish-date	2021-10-28
pubs.publication-status	Published
pubs.start-date	2021-10-25
pubs.volume	00

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http://hdl.handle.net/10453/157575