Prediction of Time-to-Solution in Material Science Simulations Using Deep Learning
dc.contributor.author
Pittino, Federico
dc.contributor.author
Bonfà, Pietro
dc.contributor.author
Bartolini, Andrea
dc.contributor.author
Affinito, Fabio
dc.contributor.author
Benini, Luca
dc.contributor.author
Cavazzoni, Carlo
dc.date.accessioned
2019-07-26T09:36:58Z
dc.date.available
2019-07-19T02:35:21Z
dc.date.available
2019-07-26T07:49:04Z
dc.date.available
2019-07-26T09:36:58Z
dc.date.issued
2019-06-12
dc.identifier.other
10.1145/3324989.3325720
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/353912
dc.language.iso
en
en_US
dc.publisher
Association for Computing Machinery
dc.title
Prediction of Time-to-Solution in Material Science Simulations Using Deep Learning
en_US
dc.type
Conference Paper
ethz.book.title
PASC '19 Proceedings of the Platform for Advanced Scientific Computing Conference
en_US
ethz.pages.start
10
en_US
ethz.size
9 p.
en_US
ethz.event
The Platform for Advanced Scientific Computing Conference (PASC '19)
en_US
ethz.event.location
Zurich, Switzerland
ethz.event.date
June 12-14, 2019
en_US
ethz.grant
MAterials design at the eXascale. European Centre of Excellence in materials modelling, simulations, and design
en_US
ethz.grant
Open Transprecision Computing
en_US
ethz.identifier.scopus
ethz.publication.place
New York, NY
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02636 - Institut für Integrierte Systeme / Integrated Systems Laboratory::03996 - Benini, Luca / Benini, Luca
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02636 - Institut für Integrierte Systeme / Integrated Systems Laboratory::03996 - Benini, Luca / Benini, Luca
ethz.grant.agreementno
824143
ethz.grant.agreementno
732631
ethz.grant.fundername
EC
ethz.grant.fundername
EC
ethz.grant.funderDoi
10.13039/501100000780
ethz.grant.funderDoi
10.13039/501100000780
ethz.grant.program
H2020
ethz.grant.program
H2020
ethz.date.deposited
2019-07-19T02:35:29Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2019-07-26T07:49:12Z
ethz.rosetta.lastUpdated
2024-02-02T08:34:32Z
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true
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Conference Paper [35670]