Selector Generation

Selector Generation is a compiler optimization technique that systematically produces instruction selectors by deriving tree-pattern matching rules from a target machine's instruction set architecture to enable efficient translation of intermediate representations into valid machine code.

25

Publications

778

Citations

105

Authors

48

Institutions

Publications per year

2017–2026

12

Authors

105

  1. CS
    Carlo Sansone

    University of Naples Federico II, Italy

    1 publications · 12 citations

    1

    h-index

  2. KL
    Keyu Liu

    Southwest Jiaotong University, China

    1 publications · 119 citations

    1

    h-index

  3. SC
    Sergiu Clima

    IMEC, Belgium

    1 publications · 38 citations

    1

    h-index

  4. ZZ
    Zongzhang Zhang

    Nanjing University, China

    1 publications · 30 citations

    1

    h-index

  5. RL
    Robert L. Bernstein

    SeaWorld San Diego, United States

    1 publications · 39 citations

    1

    h-index

1–5 of 105

Venues

  1. Software Practice and Experience

    1 publications · 39 citations

    1

    h-index

  2. 1

    h-index

  3. 1

    h-index

  4. Analytical Sciences

    1 publications · 14 citations

    1

    h-index

  5. 1

    h-index

1–5