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. Automated generation of time-predictable executables on multi-core
 
Options

Automated generation of time-predictable executables on multi-core

Publikationstyp
Conference Paper
Date Issued
2018-10
Sprache
English
Author(s)
Pagetti, Claire  
Forget, Julien  
Falk, Heiko  orcid-logo
Oehlert, Dominic Paul  
Luppold, Arno  orcid-logo
Institut
Eingebettete Systeme E-13  
TORE-URI
http://hdl.handle.net/11420/2688
Start Page
104
End Page
113
Citation
26th International Conference on Real-Time Networks and Systems, RTNS 2018: 104-113
Contribution to Conference
26th International Conference on Real-Time Networks and Systems, RTNS 2018  
Publisher DOI
10.1145/3273905.3273907
Scopus ID
2-s2.0-85056707901
Publisher
ACM
ISBN
978-1-4503-6463-8
In this paper, we are interested in the implementation of control-command applications, such as the flight control system of an aircraft for instance, on multi-core hardware. Due to certification and safety issues, time-predictability – in the sense that the timing behavior must be analysable and validable off-line – is a mandatory feature. We present a complete framework, from high-level system specification in synchronous languages, to implementation on a multi-core hardware platform, which enforces time-predictability at every step of the development process. The framework is based on automated code generation tools to speed-up the development process and to eliminate error-prone human-made translation steps.
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