Abstract
In this chapter, we firstly give an overview of design complexity as related to multi-physics systems. To address this complexity, we develop a methodology based on hierarchical partitioning and multi-level optimization is described. The second part describes the experimental framework Rune, which implements the proposed methodology, and its application to a multi-physics example consisting of an active pixel sensor. We demonstrate the formulation of an optimization problem including cross-domain variables, thus enabling the exploration of trade-offs, such as fill-factor and response speed, at an early design stage.
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Labrak, L., O’Connor, I. (2012). Multi-physics Optimization Through Abstraction and Refinement. In: Nicolescu, G., O'Connor, I., Piguet, C. (eds) Design Technology for Heterogeneous Embedded Systems. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-1125-9_12
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DOI: https://doi.org/10.1007/978-94-007-1125-9_12
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