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- W2056570511 abstract "Computing in cyber-physical systems has to be efficient in terms of a number of objectives. In particular, computing has to be execution-time and energy efficient. In this paper, we will consider optimization techniques aiming at efficiency in terms of these two objectives. In the first part, we will consider techniques for the integration of compilers and worst-case execution time (WCET) estimation. We will demonstrate, how such integration opens the door to WCET-reduction algorithms. For example, an algorithm for WCET-aware compilation reduces the WCET for an automotive application by more than 50% by exploiting scratch pad memories (SPMs). In the second part, we will demonstrate techniques for improving the energy efficiency of cyber-physical systems, in particular the use of SPMs. In the third part, we demonstrate how the optimization for multiple objectives taken into account. This paper provides an overview of work performed at the Chair for Embedded Systems of TU Dortmund and the Informatik Centrum Dortmund, Germany <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>1</sup> ." @default.
- W2056570511 created "2016-06-24" @default.
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- W2056570511 date "2012-07-01" @default.
- W2056570511 modified "2023-10-02" @default.
- W2056570511 title "Efficient computing in cyber-physical systems" @default.
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- W2056570511 doi "https://doi.org/10.1109/samos.2012.6404195" @default.
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