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dc.contributor.author
Pittino, Federico
dc.contributor.author
Beneventi, Francesco
dc.contributor.author
Bartolini, Andrea
dc.contributor.author
Benini, Luca
dc.date.accessioned
2019-01-07T18:10:38Z
dc.date.available
2018-12-05T16:21:19Z
dc.date.available
2018-12-05T17:17:54Z
dc.date.available
2019-01-07T18:10:38Z
dc.date.issued
2018
dc.identifier.isbn
978-1-5386-7879-4
en_US
dc.identifier.isbn
978-1-5386-7878-7
en_US
dc.identifier.isbn
978-1-5386-7880-0
en_US
dc.identifier.other
10.1109/HPCS.2018.00058
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/309034
dc.language.iso
en
en_US
dc.publisher
IEEE
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
power model
en_US
dc.subject
HPC cluster in production
en_US
dc.subject
machine learning
en_US
dc.subject
scalable framework
en_US
dc.title
A scalable framework for online power modelling of high-performance computing nodes in production
en_US
dc.type
Conference Paper
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2018-11-01
ethz.book.title
2018 International Conference on High Performance Computing & Simulation (HPCS)
en_US
ethz.pages.start
300
en_US
ethz.pages.end
307
en_US
ethz.event
2018 International Conference on High Performance Computing & Simulation (HPCS)
en_US
ethz.event.location
Orleans, France
en_US
ethz.event.date
July 16-20, 2018
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Piscataway, NJ
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2018-12-05T16:21:22Z
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2019-01-03T12:59:40Z
ethz.rosetta.lastUpdated
2019-01-03T12:59:40Z
ethz.rosetta.versionExported
true
ethz.COinS
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