Optimization-based Partitioning

Optimization-Based Partitioning is a hardware-software partitioning methodology that systematically employs mathematical optimization techniques to determine the optimal allocation of system functionalities between hardware and software components, distinguishing itself from heuristic or rule-based approaches by its reliance on formal objective functions and constraints to achieve globally optimal or near-optimal solutions.

97

Publications

3.2K

Citations

256

Authors

122

Institutions

Publications per year

2017–2026

21

Authors

256

  1. PM
    Peter Marwedel

    TU Dortmund University, Germany

    3 publications · 196 citations

    3

    h-index

  2. AB
    Andrew B. Kahng

    University of California San Diego, United States

    3 publications · 84 citations

    3

    h-index

  3. PM
    Pinaki Mazumder

    University of Michigan, United States

    2 publications · 45 citations

    2

    h-index

  4. EA
    Encarnación Algaba

    Universidad de Sevilla, Spain

    2 publications · 35 citations

    2

    h-index

  5. JY
    Jih-Shyr Yih

    University of Michigan, United States

    2 publications · 45 citations

    2

    h-index

1–5 of 256

Venues

  1. 3

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  2. 3

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  3. Operations Research

    2 publications · 32 citations

    2

    h-index

  4. IEEE Transactions on Signal Processing

    2 publications · 27 citations

    2

    h-index

  5. 2

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1–5