TUHH Open Research
Help
  • Log In
    New user? Click here to register.Have you forgotten your password?
  • English
  • Deutsch
  • Communities & Collections
  • Publications
  • Research Data
  • People
  • Institutions
  • Projects
  • Statistics
  1. Home
  2. TUHH
  3. Publication References
  4. Multi-criteria function inlining for hard real-time systems
 
Options

Multi-criteria function inlining for hard real-time systems

Publikationstyp
Conference Paper
Date Issued
2020-06
Sprache
English
Author(s)
Muts, Kateryna  orcid-logo
Falk, Heiko  orcid-logo
Institut
Eingebettete Systeme E-13  
TORE-URI
http://hdl.handle.net/11420/7403
Start Page
56
End Page
66
Citation
28th International Conference on Real-Time Networks and Systems, RTNS 2020: 56-66
Contribution to Conference
28th International Conference on Real-Time Networks and Systems, RTNS 2020  
Publisher DOI
10.1145/3394810.3394819
Scopus ID
2-s2.0-85091021158
Publisher
Association for Computing Machinery
ISBN
978-145037593-1
Modern hard real-time systems shall satisfy some special requirements. Besides timing constraints, the additional design criteria such as code size and energy consumption are also not negligible. To optimize a system towards the mentioned specifications simultaneously is impossible, since the improvement in one of them may lead to the degradation of others. Many compiler-based optimizations techniques have been proposed to optimize an embedded application taking into account only one requirement. Nevertheless, some heuristics consider other requirements as constraints, but not many works have tried to solve a multi-objective problem in this context. We aim to extend a well-known compiler-based optimization, function inlining, to a multi-objective problem. We show that in case of such setup, the considered optimization leads to a set of trade-offs between timing constraints, code size, and energy consumption. Depending on the requirements, a system designer can utilize the output set to make a final decision about the system configuration without building an expensive hardware.
Subjects
Compiler
Evolutionary algorithm
Multi-criteria
Optimization
Real-time systems
DDC Class
004: Computer Sciences
TUHH
Weiterführende Links
  • Contact
  • Send Feedback
  • Cookie settings
  • Privacy policy
  • Impress
DSpace Software

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science
Design by effective webwork GmbH

  • Deutsche NationalbibliothekDeutsche Nationalbibliothek
  • ORCiD Member OrganizationORCiD Member Organization
  • DataCiteDataCite
  • Re3DataRe3Data
  • OpenDOAROpenDOAR
  • OpenAireOpenAire
  • BASE Bielefeld Academic Search EngineBASE Bielefeld Academic Search Engine
Feedback