Target Machine Modeling

Target Machine Modeling is a formal framework that specifies the structural, behavioral, and resource characteristics of a hardware architecture to enable accurate code generation, optimization, and performance prediction in compiler back ends.

17

Publications

537

Citations

35

Authors

22

Institutions

Publications per year

2017–2026

2

Variants

Target Architecture Modeling

Authors

35

  1. JG
    John Greiner

    Carnegie Mellon University, United States

    2 publications · 42 citations

    2

    h-index

  2. GE
    Guy E. Blelloch

    Carnegie Mellon University, United States

    2 publications · 42 citations

    2

    h-index

  3. RM
    Radu Mărculescu

    Carnegie Mellon University, United States

    2 publications · 33 citations

    2

    h-index

  4. BW
    B. Wess

    TU Wien, Austria

    2 publications · 56 citations

    2

    h-index

  5. MP
    Massoud Pedram

    University of Southern California, United States

    2 publications · 33 citations

    2

    h-index

1–5 of 35

Venues

  1. arXiv (Cornell University)

    Repository · 1 publications · 35 citations

    1

    h-index

  2. 1

    h-index

  3. IEEE Transactions on Computers

    1 publications · 56 citations

    1

    h-index

  4. 1

    h-index

  5. 1

    h-index

1–5