Multi-Variant-based Design Space Exploration for Automotive Embedded Systems

Graf S, Glaß M, Teich J, Lauer C (2014)

Publication Type: Conference contribution

Publication year: 2014

Publisher: IEEE Press

Edited Volumes: Proceedings -Design, Automation and Test in Europe, DATE

City/Town: New York, NY, USA

Conference Proceedings Title: Proc. of Design, Automation and Test in Europe (DATE)

Event location: Dresden DE

ISBN: 978-3-9815370-2-4

DOI: 10.7873/DATE2014.020

Abstract

This paper proposes a novel design method for modern automotive electrical and electronic (E/E) architecture component platforms. The addressed challenge is to derive an optimized component platform termed Baukasten where components, i. e., different manifestations of Electronic Control Units (ECUs), are reused across different car configurations, models, or even OEM companies. The proposed approach derives an efficient graph-based exploration model from defined functional variants. From this, a novel symbolic formulation of multi-variant resource allocation, task binding, and message routing serves as input for a state-of-the-art hybrid optimization technique to derive the individual architecture for each functional variant and the resulting Baukasten at once. For the first time, this enables a concurrent analysis and optimization of individual variants and the Baukasten. Given each manifestation of a component in the Baukasten induces production, storage, and maintenance overhead, we particularly investigate the trade-off between the number of different hardware variants and other established design objectives like monetary cost. We apply the proposed technique to a real-world automotive use case, i. e., a subsystem within the safety domain, to illustrate the advantages of the multi-variant-based design space exploration approach. © 2014 EDAA.

Authors with CRIS profile

Sebastian Graf Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design) Michael Glaß Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design) Jürgen Teich Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)

Involved external institutions

Audi AG DE Germany (DE)

How to cite

APA:

Graf, S., Glaß, M., Teich, J., & Lauer, C. (2014). Multi-Variant-based Design Space Exploration for Automotive Embedded Systems. In Proc. of Design, Automation and Test in Europe (DATE). Dresden, DE: New York, NY, USA: IEEE Press.

MLA:

Graf, Sebastian, et al. "Multi-Variant-based Design Space Exploration for Automotive Embedded Systems." Proceedings of the Design, Automation and Test in Europe (DATE), Dresden New York, NY, USA: IEEE Press, 2014.

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