A Synergistic Approach to Predictable Compilation and Scheduling on Commodity Multi-Cores

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Autor(in)
Forsberg, Björn
Mattheeuws, Maxim
Kurth, Andreascc
Marongiu, Andrea
Benini, Lucacc
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Datum
2020-06
Typ
    Conference Paper
Rechte / Lizenz
In Copyright - Non-Commercial Use Permitted
Persistenter Link
https://doi.org/10.3929/ethz-b-000420966
Publikationsstatus
published
Externe Links
Herausgeber(in)
Xue, Jingling
Jung, Changhee
Buchtitel
LCTES '20: The 21st ACM SIGPLAN/SIGBED Conference on Languages, Compilers, and Tools for Embedded Systems
Seiten / Artikelnummer
108 - 118
Verlag
Association for Computing Machinery
Konferenz
21st ACM SIGPLAN/SIGBED Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES 2020) (virtual), London, United Kingdom, 16-Jun-20
Thema
Real-time Embedded Systems; Predictable Execution Model; Compilers; Scheduling; Optimization
Organisationseinheit
03996 - Benini, Luca / Benini, Luca  
03996 - Benini, Luca / Benini, Luca  
Förderung
871669 - A Model-driven development framework for highly Parallel and EneRgy-Efficient computation supporting multi-criteria optimisation (EC)
Anmerkungen
Due to the Corona virus (COVID-19) the conference was conducted virtually.
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5 Zitate in Scopus
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