Concepedia

Global Instruction Selection

Global Instruction Selection is an instruction selection technique that operates across the entire program or function scope, distinguishing itself from local approaches by considering global dataflow and control-flow dependencies to optimize code generation decisions holistically.

4

Publications

282

Citations

6

Authors

3

Institutions

Publications per year

2017–2026

0

Parents

Publications

4

1–5 of 4

Authors

6

  1. DB
    David Bernstein

    Princeton University, United States

    2 publications · 213 citations

    2

    h-index

  2. MR
    Michael Rodeh

    IBM Research - Haifa, Israel

    2 publications · 213 citations

    2

    h-index

  3. CY
    Cliff Young

    Google (United States), United States

    1 publications · 47 citations

    1

    h-index

  4. MD
    Michael D. Smith

    Harvard University Press, United States

    1 publications · 47 citations

    1

    h-index

  5. MD
    Michael D. Smith

    Carnegie Mellon University, United States

    1 publications · 22 citations

    1

    h-index

1–5 of 6

Institutions

3

  1. Harvard University

    Cambridge, United States

    2 h-index

    2 publications

    69 citations

  2. IBM Research - Haifa

    Haifa, Israel

    2 h-index

    4 publications

    426 citations

  3. Nokia (United States)

    Coppell, United States

    1 h-index

    1 publications

    47 citations

  4. Harvard University Press

    Cambridge, United States

    1 publications

    17 citations

1–4 of 3

Venues

  1. ACM SIGPLAN Notices

    1 publications · 30 citations

    1

    h-index

1–1