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Worst-Case Execution-Time-Aware Parallelization of Model-Based Avionics Applications

Reder, Simon and Kempf, Fabian and Bucher, Harald and Becker, Jürgen and Alefragis, Panayiotis and Voros, Nikolaos and Skalistis, Stefanos and Derrien, Steven and Puaut, Isabelle and Oey, Oliver and Stripf, Timo and Ferdinand, Christian and Clement, David and Ulbig, Peer and Müller, David and Durak, Umut (2019) Worst-Case Execution-Time-Aware Parallelization of Model-Based Avionics Applications. Journal of Aerospace Information Systems, 16 (11). American Institute of Aeronautics and Astronautics (AIAA). DOI: 10.2514/1.I010749 ISSN 1940-3151

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Official URL: https://arc.aiaa.org/doi/10.2514/1.I010749


Multicore processing systems are the solution of choice to provide high embedded computing performance, but drawbacks in timing predictability and programmability limit their adoption in safety-critical aerospace applications. This work presents a compiler tool flow for automated parallelization of model-based real-time software, which addresses the shortcomings of multicore architectures in real-time systems. The flow is demonstrated using a model-based terrain awareness and warning systems (TAWSs) and an edge detection algorithm from the image-processing domain. Model-based applications are first transformed into real-time C code and, from there, into a well-predictable parallel C program. Tight bounds for the worst-case execution time (WCET) of the parallelized program can be determined using an integrated multicore WCET analysis. Thanks to the use of an architecture description language, the general approach is applicable to a wider range of target platforms. An experimental evaluation for a research architecture with network-on-chip interconnect shows that the parallel WCET of the TAWS application can be improved by a factor of 1.77 using the presented compiler tools.

Item URL in elib:https://elib.dlr.de/132024/
Document Type:Article
Title:Worst-Case Execution-Time-Aware Parallelization of Model-Based Avionics Applications
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Becker, Jürgenjuergen.becker (at) kit.eduUNSPECIFIED
Alefragis, PanayiotisUniversity of PeloponneseUNSPECIFIED
Voros, NikolaosUniversity of PeloponneseUNSPECIFIED
Skalistis, StefanosUniversity of Rennes IUNSPECIFIED
Derrien, StevenUniversity of Rennes IUNSPECIFIED
Puaut, IsabelleUniversity of Rennes IUNSPECIFIED
Oey, Oliveroey (at) emmtrix.comUNSPECIFIED
Stripf, Timostripf (at) emmtrix.comUNSPECIFIED
Ferdinand, ChristianAbsIntUNSPECIFIED
Ulbig, PeerPeer.Ulbig (at) dlr.deUNSPECIFIED
Müller, DavidDavid.Mueller (at) dlr.deUNSPECIFIED
Durak, Umutumut.durak (at) dlr.dehttps://orcid.org/0000-0002-2928-1710
Journal or Publication Title:Journal of Aerospace Information Systems
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:Yes
DOI :10.2514/1.I010749
Publisher:American Institute of Aeronautics and Astronautics (AIAA)
Keywords:Multi-core, Avionics, Parallelization, TAWS
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:fixed-wing aircraft
DLR - Research area:Aeronautics
DLR - Program:L AR - Aircraft Research
DLR - Research theme (Project):L - Simulation and Validation
Location: Braunschweig
Institutes and Institutions:Institute of Flight Systems > Flight Dynamics and Simulation
Deposited By: Durak, Umut
Deposited On:14 Jan 2020 18:48
Last Modified:14 Jan 2020 18:48

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