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Towards Scalable Symbolic Routing for Multi-Objective Networked Embedded System Design and Optimization

Graf S, Reimann F, Glaß M, Teich J (2014)

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Publication Type: Conference contribution

Publication year: 2014

Publisher: IEEE Press

Edited Volumes: 2014 International Conference on Hardware/Software Codesign and System Synthesis, CODES+ISSS 2014

City/Town: New York, NY, USA

Pages Range: 2:1-2:10

Conference Proceedings Title: Proc. of the International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS)

Event location: New Delhi

DOI: 10.1145/2656075.2656102

Abstract

Symbolic encoding for resource allocation, task binding, and message routing during multi-objective design space exploration (DSE) has gained significant attention in recent years. To determine the message routing, existing symbolic approaches typically rely on an explicit encoding of routing hops which results in a huge number of required variables and/or constraints. As a result, these approaches fail in case of large network diameters and/or a huge number of messages or resources and even for smaller problems, the convergence of the involved optimization process suffers. To tackle this shortcomings, this work proposes three novel symbolic routing encoding strategies that all avoid to encode hops explicitly, but are based on an encoding of individual links or complete sender-receiver paths, but still cover the same design space. The result is a more compact problem representation with less constraints and, in particular, less variables; the latter eliminates ineffective degrees of freedom from the search space and significantly enhances the optimization quality of a multi-objective optimization with even non-linear objectives. In an extensive test-suite, three major classes of wired networked embedded systems are considered: (a) hierarchical stars as in MPSoCs or automotive, (b) redundant backbone buses as common in rail systems or avionics, and (c) mesh-based architectures that often occur in NoC-based MPSoCs. For all three classes, the proposed approaches significantly outperform existing techniques in both scalability and optimization quality and, thus, considerably enlarge the field of application of a multi-objective DSE for the networked embedded system design. Copyright is held by the owner/author(s).

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How to cite

APA:

Graf, S., Reimann, F., Glaß, M., & Teich, J. (2014). Towards Scalable Symbolic Routing for Multi-Objective Networked Embedded System Design and Optimization. In Proc. of the International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS) (pp. 2:1-2:10). New Delhi, IN: New York, NY, USA: IEEE Press.

MLA:

Graf, Sebastian, et al. "Towards Scalable Symbolic Routing for Multi-Objective Networked Embedded System Design and Optimization." Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), New Delhi New York, NY, USA: IEEE Press, 2014. 2:1-2:10.

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