Abstract
Microelectronics have developed very fast in the past. The design process of those systems is getting more and more complex and new design methods have to be applied continuously. One main observation is the increasing design level over time, hence, the re-use of components is getting more important. A key challenge of IC design is the selection of a system architecture which fulfills all requirements in terms of data throughput, area, timing, power and cost. We present a problem class for the optimal component selection in order to assist in selecting the best available alternatives. We will show how to express top-level constraints and optimisation targets including dependencies between components. In addition, heuristic solving algorithms will be presented. The evaluation section shows that the presented algorithms perform well on typical problem sets. Using a framework for evolutionary algorithms results in additional speedup.
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This book chapter is part of the ENERSAVE research project, which is funded by the German ministry of research, BMBF, under the registration number 16BE1100.
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Sauppe, M., Horn, T., Markert, E., Heinkel, U., Sahm, HW., Otto, KH. (2015). Optimal Component Selection for Energy-Efficient Systems. In: Louërat, MM., Maehne, T. (eds) Languages, Design Methods, and Tools for Electronic System Design. Lecture Notes in Electrical Engineering, vol 311. Springer, Cham. https://doi.org/10.1007/978-3-319-06317-1_1
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DOI: https://doi.org/10.1007/978-3-319-06317-1_1
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