Implementation of Optimized AUTOSAR Systems for RISC-V with ARA

• Typ der Arbeit: Bachelorarbeit
• Status der Arbeit: abgeschlossen
• Projekte: AHA
• Betreuer: Andreas Kässens, Daniel Lohmann
• Bearbeiter: Arved Blöcker
• Ende der Arbeit: 05. Aug 2024

Within the AHA project, we focus on optimizing embedded systems by specialization of the OS itself. Using the Automatic Real-time Analyzer (ARA), we perform static analysis to enable extensive tailoring of real-time operating systems to the application. The operating system is generated specifically for a single application to provide exactly the required functionality. As a result, we improve non-functional system properties like delay or memory footprint, which can reduce hardware costs and energy consumption.

In this thesis, the AUTOSAR system generation in ARA shall be extended to another target architecture: RISC-V. As a base, the source code of dOSEK [1] can be reused. Unlike in dOSEK/OSEK-V, the system shall support multicore platforms, hence concepts like atomics and spinlocks must be implemented. To evaluate the implemented system, it can be tested against existing applications and compared to the ARM implementation.

[1] https://gitlab.cs.fau.de/stettberger/dosek

Topics: Python, C++, Multicore

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@inproceedings{entrup:23:rtas,
author = {Gerion Entrup and Björn Fiedler and Daniel Lohmann},
booktitle = {Proceedings of the 29th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS'23)},
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@inproceedings{dietrich:17:lctes,
location = {New York, NY, USA},
ar = {25\% (13/56)},
author = {Christian Dietrich and Daniel Lohmann},
booktitle = {Proceedings of the 2017 ACM SIGPLAN/SIGBED Conference on Languages, Compilers and Tools for Embedded Systems (LCTES '17)},
category = {os-embedded, SRA},
doi = {10.1145/3078633.3078637},
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publisher = {ACM Press},
title = {{OSEK-V}: Application-Specific {RTOS} Instantiation in Hardware},
venue = {Barcelona, Spain},
year = {2017},
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