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dc.contributor.author
Ziogas, Alexandros N.
dc.contributor.author
Ben-Nun, Tal
dc.contributor.author
Fernández, Guillermo I.
dc.contributor.author
Schneider, Timo
dc.contributor.author
Luisier, Mathieu
dc.contributor.author
Hoefler, Torsten
dc.date.accessioned
2020-01-28T16:55:33Z
dc.date.available
2020-01-28T16:55:33Z
dc.date.issued
2019
dc.identifier.isbn
978-1-4503-6229-0
en_US
dc.identifier.other
10.1145/3295500.3356200
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/395099
dc.description.abstract
Designing efficient cooling systems for integrated circuits (ICs) relies on a deep understanding of the electro-thermal properties of transistors. To shed light on this issue in currently fabricated Fin-FETs, a quantum mechanical solver capable of revealing atomically-resolved electron and phonon transport phenomena from first-principles is required. In this paper, we consider a global, data-centric view of a state-of-the-art quantum transport simulator to optimize its execution on supercomputers. The approach yields coarse-and fine-grained data-movement characteristics, which are used for performance and communication modeling, communication-avoidance, and data-layout transformations. The transformations are tuned for the Piz Daint and Summit supercomputers, where each platform requires different caching and fusion strategies to perform optimally. The presented results make ab initio device simulation enter a new era, where nanostructures composed of over 10,000 atoms can be investigated at an unprecedented level of accuracy, paving the way for better heat management in next-generation ICs.
en_US
dc.language.iso
en
en_US
dc.publisher
Association for Computing Machinery
en_US
dc.subject
Massively parallel and high-performance simulations
en_US
dc.subject
Parallel computing methodologies
en_US
dc.subject
Quantum mechanic simulation
en_US
dc.title
Optimizing the Data Movement in Quantum Transport Simulations via Data-Centric Parallel Programming
en_US
dc.type
Conference Paper
dc.date.published
2019-11-17
ethz.book.title
Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC '19)
en_US
ethz.pages.start
78
en_US
ethz.size
17 p.
en_US
ethz.event
International Conference for High Performance Computing, Networking, Storage and Analysis (SC '19)
en_US
ethz.event.location
Denver, CO, USA
en_US
ethz.event.date
November 17-22, 2019
en_US
ethz.grant
DAPP: Data-Centric Parallel Programming
en_US
ethz.grant
Ab-initio modeling of electro-thermal effects in 2-D materials: from single-layer to van der Waals heterostructure (ABIME)
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
New York, NY
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02666 - Institut für Hochleistungsrechnersysteme / Inst. f. High Performance Computing Syst::03950 - Hoefler, Torsten / Hoefler, Torsten
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::03925 - Luisier, Mathieu / Luisier, Mathieu
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02666 - Institut für Hochleistungsrechnersysteme / Inst. f. High Performance Computing Syst::03950 - Hoefler, Torsten / Hoefler, Torsten
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::03925 - Luisier, Mathieu / Luisier, Mathieu
ethz.grant.agreementno
678880
ethz.grant.agreementno
175479
ethz.grant.fundername
EC
ethz.grant.fundername
SNF
ethz.grant.funderDoi
10.13039/501100000780
ethz.grant.funderDoi
10.13039/501100001711
ethz.grant.program
H2020
ethz.grant.program
Projekte MINT
ethz.date.deposited
2019-12-11T15:14:56Z
ethz.source
FORM
ethz.source
BATCH
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2020-01-28T16:55:40Z
ethz.rosetta.lastUpdated
2022-03-29T00:52:14Z
ethz.rosetta.versionExported
true
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/384869
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/385118
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/389754
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/388365
ethz.COinS
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