Concurrent topology and routing optimization in automotive network integration

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Concurrent topology and routing optimization in automotive network integration

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Annual ACM IEEE Design Automation Conference archive
Proceedings of the 45th annual Design Automation Conference table of contents

Anaheim, California

SESSION: Design methods for on-chip communication table of contents

Pages 626-629

Year of Publication: 2008

ISBN ~ ISSN:0738-100X , 978-1-60558-115-6

Authors

Martin Lukasiewycz	University of Erlangen-Nuremberg, Germany
Michael Glaß	University of Erlangen-Nuremberg, Germany
Christian Haubelt	University of Erlangen-Nuremberg, Germany
Jürgen Teich	University of Erlangen-Nuremberg, Germany
Richard Regler	EE-81, Audi AG, Ingolstadt, Germany
Bardo Lang	EE-81, Audi AG, Ingolstadt, Germany

Sponsors

SIGDA: ACM Special Interest Group on Design Automation
: IEEE/CASS/CANDE/CEDA
: The EDA Consortium

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ACM New York, NY, USA

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ABSTRACT

In this paper, a novel automatic approach for the concurrent topology and routing optimization that achieves a high quality network layout is proposed. This optimization is based on a specialized binary Integer Linear Program (ILP) in combination with a Multi-Objective Evolutionary Algorithm (MOEA). The ILP is formulated such that each solution represents a topology and routing that fulfills all requirements and demands of the network. Thus, in an iterative process, this ILP is solved to obtain feasible networks whereas the MOEA is used for the optimization of multiple even non-linear objectives and ensures a fast convergence towards the optimal solutions. Additionally, a domain specific preprocessing algorithm for the ILP is presented that decreases the problem complexity and, thus, allows to optimize large and complex networks efficiently. The experimental results validate the performance of this methodology on two state-of-the-art prototype automotive networks.

REFERENCES

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