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A Synergistic Approach to Predictable Compilation and Scheduling on Commodity Multi-Cores
- Source :
- The 21st ACM SIGPLAN/SIGBED Conference on Languages, Compilers, and Tools for Embedded Systems, LCTES '20: The 21st ACM SIGPLAN/SIGBED Conference on Languages, Compilers, and Tools for Embedded Systems, LCTES
- Publisher :
- ACM
-
Abstract
- LCTES '20: The 21st ACM SIGPLAN/SIGBED Conference on Languages, Compilers, and Tools for Embedded Systems<br />ISBN:978-1-4503-7094-3
- Subjects :
- Optimization
Computer science
Distributed computing
Serialization
real-Time embedded system
02 engineering and technology
compilers
optimization
predictable execution model
real-Time embedded systems
scheduling
computer.software_genre
01 natural sciences
Real-time Embedded Systems
Predictable Execution Model
Compilers
Scheduling
Scheduling (computing)
0103 physical sciences
0202 electrical engineering, electronic engineering, information engineering
Code generation
Predictability
compiler
Execution model
010302 applied physics
ComputingMilieux_THECOMPUTINGPROFESSION
020202 computer hardware & architecture
Shared resource
Code refactoring
Compiler
computer
Subjects
Details
- Language :
- English
- ISBN :
- 978-1-4503-7094-3
- ISSN :
- 45037094
- ISBNs :
- 9781450370943
- Database :
- OpenAIRE
- Journal :
- The 21st ACM SIGPLAN/SIGBED Conference on Languages, Compilers, and Tools for Embedded Systems, LCTES '20: The 21st ACM SIGPLAN/SIGBED Conference on Languages, Compilers, and Tools for Embedded Systems, LCTES
- Accession number :
- edsair.doi.dedup.....b22555a5274e964157b46885418d056c
- Full Text :
- https://doi.org/10.1145/3372799.3394369