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Application Mapping

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Part of the book series: Embedded Systems ((EMSY))

Abstract

Once the specification has been completed, design activities can start. This is consistent with the simplified design information flow (see Fig. 6.1). Mapping applications to execution platforms is really a key activity. Therefore, we underline the importance of this Chapter.

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Notes

  1. 1.

    This is the time from the occurrence of an external event until the completion of the reaction required for the event.

  2. 2.

    This term refers to a processor in this case.

  3. 3.

    Pinedo denotes the makespan as \(C_{max}\). We prefer to avoid confusion with execution times \(C_i\).

  4. 4.

    This proof assumes a discrete time domain. It can be extended to a continuous time domain.

  5. 5.

    I owe this hint to J.J. Chen of TU Dortmund.

  6. 6.

    The presentation of pfair scheduling is based on slides by I. Puaut [437].

  7. 7.

    I owe this informal explanation to J.J. Chen, TU Dortmund.

  8. 8.

    A tighter bound has been shown by Chen et al. [95].

  9. 9.

    Indexes k and l are not explicit in the original paper.

  10. 10.

    A more recent version uses a satisfiability (SAT) solver for the same purpose.

  11. 11.

    We merge Singh’s hybrid mappings with these three classes.

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Correspondence to Peter Marwedel .

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Marwedel, P. (2018). Application Mapping. In: Embedded System Design. Embedded Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-56045-8_6

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  • DOI: https://doi.org/10.1007/978-3-319-56045-8_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-56043-4

  • Online ISBN: 978-3-319-56045-8

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