Code Generation For Partitioned Systems

Code Generation for Partitioned Systems is a systematic method that translates high-level application specifications into optimized, platform-specific software and hardware implementation code, distinguished by its joint synthesis of executable code segments tailored to heterogeneous processing elements according to a prior hardware-software partitioning decision.

31

Publications

1.4K

Citations

83

Authors

35

Institutions

Publications per year

2017–2026

2

Authors

83

  1. RL
    Rainer Leupers

    RWTH Aachen University, Germany

    4 publications · 129 citations

    4

    h-index

  2. JP
    Jérôme Plumecoq

    Centre National de la Recherche Scientifique, France

    2 publications · 70 citations

    2

    h-index

  3. PC
    Pramod Chandraiah

    University of California, Irvine, United States

    2 publications · 37 citations

    2

    h-index

  4. AA
    Alex Aletà

    Universitat Politècnica de Catalunya, Spain

    2 publications · 86 citations

    2

    h-index

  5. FH
    Fernando Herrera

    Universidad de Cantabria, Spain

    2 publications · 113 citations

    2

    h-index

1–5 of 83

Venues

  1. Physica D Nonlinear Phenomena

    2 publications · 70 citations

    2

    h-index

  2. Communications of the ACM

    1 publications · 12 citations

    1

    h-index

  3. UR Research (University of Rochester)

    Repository · 1 publications · 257 citations

    1

    h-index

  4. IEEE Access

    1 publications · 45 citations

    1

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  5. ACM Transactions on Computer Systems

    TOCS · 1 publications · 172 citations

    1

    h-index

1–5