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

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Author
Forsberg, Björn
Mattheeuws, Maxim
Kurth, Andreascc
Marongiu, Andrea
Benini, Lucacc
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Date
2020-06
Type
    Conference Paper
Rights / license
In Copyright - Non-Commercial Use Permitted
Permanent link
https://doi.org/10.3929/ethz-b-000420966
Publication status
published
External links
Editor
Xue, Jingling
Jung, Changhee
Book title
LCTES '20: The 21st ACM SIGPLAN/SIGBED Conference on Languages, Compilers, and Tools for Embedded Systems
Pages / Article No.
108 - 118
Publisher
Association for Computing Machinery
Event
21st ACM SIGPLAN/SIGBED Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES 2020) (virtual), London, United Kingdom, 16-Jun-20
Subject
Real-time Embedded Systems; Predictable Execution Model; Compilers; Scheduling; Optimization
Organisational unit
03996 - Benini, Luca / Benini, Luca  
03996 - Benini, Luca / Benini, Luca  
Funding
871669 - A Model-driven development framework for highly Parallel and EneRgy-Efficient computation supporting multi-criteria optimisation (EC)
Notes
Due to the Corona virus (COVID-19) the conference was conducted virtually.
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Citations
Cited 5 times in Scopus
ETH Bibliography
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