A Synergistic Approach to Predictable Compilation and Scheduling on Commodity Multi-Cores
dc.contributor.author
Forsberg, Björn
dc.contributor.author
Mattheeuws, Maxim
dc.contributor.author
Kurth, Andreas
dc.contributor.author
Marongiu, Andrea
dc.contributor.author
Benini, Luca
dc.contributor.editor
Xue, Jingling
dc.contributor.editor
Jung, Changhee
dc.date.accessioned
2020-09-07T13:36:22Z
dc.date.available
2020-06-18T05:43:47Z
dc.date.available
2020-06-19T15:13:49Z
dc.date.available
2020-06-19T15:28:28Z
dc.date.available
2020-09-07T08:28:49Z
dc.date.available
2020-09-07T13:36:22Z
dc.date.issued
2020-06
dc.identifier.isbn
978-1-4503-7094-3
en_US
dc.identifier.other
10.1145/3372799.3394369
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/420966
dc.identifier.doi
10.3929/ethz-b-000420966
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Association for Computing Machinery
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
Real-time Embedded Systems
en_US
dc.subject
Predictable Execution Model
en_US
dc.subject
Compilers
en_US
dc.subject
Scheduling
en_US
dc.subject
Optimization
en_US
dc.title
A Synergistic Approach to Predictable Compilation and Scheduling on Commodity Multi-Cores
en_US
dc.type
Conference Paper
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2020-06-16
ethz.book.title
LCTES '20: The 21st ACM SIGPLAN/SIGBED Conference on Languages, Compilers, and Tools for Embedded Systems
en_US
ethz.pages.start
108
en_US
ethz.pages.end
118
en_US
ethz.size
17 p. accepted version
en_US
ethz.version.deposit
acceptedVersion
en_US
ethz.event
21st ACM SIGPLAN/SIGBED Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES 2020) (virtual)
en_US
ethz.event.location
London, United Kingdom
en_US
ethz.event.date
16-Jun-20
ethz.notes
Due to the Corona virus (COVID-19) the conference was conducted virtually.
en_US
ethz.grant
A Model-driven development framework for highly Parallel and EneRgy-Efficient computation supporting multi-criteria optimisation
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::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
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
en_US
ethz.grant.agreementno
871669
ethz.grant.fundername
EC
ethz.grant.funderDoi
10.13039/501100000780
ethz.grant.program
H2020
ethz.date.deposited
2020-06-18T05:44:02Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2020-06-19T15:14:00Z
ethz.rosetta.lastUpdated
2024-02-02T11:59:37Z
ethz.rosetta.versionExported
true
ethz.COinS
ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=A%20Synergistic%20Approach%20to%20Predictable%20Compilation%20and%20Scheduling%20on%20Commodity%20Multi-Cores&rft.date=2020-06&rft.spage=108&rft.epage=118&rft.au=Forsberg,%20Bj%C3%B6rn&Mattheeuws,%20Maxim&Kurth,%20Andreas&Marongiu,%20Andrea&Benini,%20Luca&rft.isbn=978-1-4503-7094-3&rft.genre=proceeding&rft_id=info:doi/10.1145/3372799.3394369&rft.btitle=LCTES%20'20:%20The%2021st%20ACM%20SIGPLAN/SIGBED%20Conference%20on%20Languages,%20Compilers,%20and%20Tools%20for%20Embedded%20Systems
Files in this item
Publication type
-
Conference Paper [35670]