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  4. Multiobjective code compression and function inlining for hard real-time systems
 
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Multiobjective code compression and function inlining for hard real-time systems

Citation Link: https://doi.org/10.15480/336.4890
Type
Dataset
Date Issued
2023-01-26
Author(s)
Muts, Kateryna  orcid-logo
Language
English
Institute
Eingebettete Systeme E-13  
DOI
10.15480/336.4890
TORE-URI
http://hdl.handle.net/11420/14664
Is Supplement To
10.15480/882.4799
Is Compiled By
10.1007/s11241-010-9101-x
Abstract
Compiler-based optimizations are efficient techniques to improve a program to be compiled. Function inlining is a well-known compiler-based optimization that substitutes function calls by the body of the function. The data represent the results of multiobjective function inlining for hard real-time systems with code size, energy consumption and worst-case execution time (WCET) as objectives.
Since the analyses of energy consumption and WCET are very time-consuming at compile time, search space reduction and predictions based on machine learning techniques were applied to speed up the multiobjective function inlining at compile time.
Subjects
Compiler-based optimization
Function Inlining
Machine learning
Search space reduction
Hard real-time system
DDC Class
620: Ingenieurwissenschaften
Funding(s)
Multikriterielle Code-Optimierung für Eingebettete Harte Echtzeitsysteme  
Funding Organisations
Deutsche Forschungsgemeinschaft (DFG)  
License
https://creativecommons.org/publicdomain/zero/1.0/
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