Heuristic Instruction Selection

Heuristic Instruction Selection is an instruction selection method that employs heuristic rules or approximations to efficiently map intermediate representations to target machine instructions, distinguishing itself from optimal but computationally expensive approaches by prioritizing practical runtime performance and scalability in code generation.

20

Publications

829

Citations

47

Authors

25

Institutions

Publications per year

2017–2026

0

Authors

47

  1. ST
    Steve Tjiang

    Synopsys (United States), United States

    2 publications · 126 citations

    2

    h-index

  2. PY
    Pan Yu

    National University of Singapore, Singapore

    2 publications · 222 citations

    2

    h-index

  3. JB
    John Barson

    U.S. Army Center for Health Promotion and Preventive Medicine, United States

    2 publications · 21 citations

    2

    h-index

  4. PC
    Phil C. Lange

    University of Illinois Chicago, United States

    2 publications · 21 citations

    2

    h-index

  5. TM
    Tulika Mitra

    National University of Singapore, Singapore

    2 publications · 222 citations

    2

    h-index

1–5 of 47

Venues

  1. 2

    h-index

  2. IEEE Transactions on Computers

    2 publications · 64 citations

    2

    h-index

  3. 1

    h-index

  4. 1

    h-index

  5. Journal of Instructional Development

    JID · 1 publications · 10 citations

    1

    h-index

1–5