Runtime Code Generation

Runtime Code Generation is a technique within runtime environments that dynamically produces executable machine code during program execution, distinguished from static compilation by its on-the-fly synthesis of code in response to runtime conditions, often leveraged by just-in-time compilers to optimize performance based on observed program behavior.

211

Publications

13.3K

Citations

591

Authors

197

Institutions

Publications per year

2017–2026

34

Authors

591

  1. MF
    Michael Franz

    University of California, Irvine, United States

    6 publications · 507 citations

    6

    h-index

  2. TA
    Todd A. Proebsting

    University of Arizona, United States

    4 publications · 263 citations

    4

    h-index

  3. MH
    Michael Hicks

    University of Maryland, College Park, United States

    4 publications · 442 citations

    4

    h-index

  4. LP
    Louis-Noël Pouchet

    The Ohio State University, United States

    3 publications · 77 citations

    3

    h-index

  5. JC
    Jim Chow

    Stanford University, United States

    3 publications · 1.4K citations

    3

    h-index

1–5 of 591

Venues

  1. ACM SIGPLAN Notices

    14 publications · 562 citations

    13

    h-index

  2. Software Practice and Experience

    4 publications · 243 citations

    4

    h-index

  3. Science of Computer Programming

    4 publications · 69 citations

    4

    h-index

  4. Journal of Functional Programming

    3 publications · 71 citations

    3

    h-index

  5. Proceedings of the ACM on Programming Languages

    PACMPL · 3 publications · 225 citations

    3

    h-index

1–5