Specialized Code Generation

Specialized Code Generation is a just-in-time compilation technique that generates optimized machine code tailored to specific runtime types or execution contexts, distinguishing itself from general-purpose code generation by leveraging dynamic program behavior to enable fine-grained, context-sensitive optimizations.

70

Publications

3.4K

Citations

220

Authors

87

Institutions

Publications per year

2017–2026

11

Authors

220

  1. CC
    Charles Consel

    Institut national de recherche en sciences et technologies du numérique, France

    4 publications · 186 citations

    4

    h-index

  2. CP
    Calton Pu

    Georgia Institute of Technology, United States

    4 publications · 111 citations

    4

    h-index

  3. ML
    Michaël Leuschel

    Heinrich Heine University Düsseldorf, Germany

    3 publications · 74 citations

    3

    h-index

  4. AJ
    Arne John Glenstrup

    IT University of Copenhagen, Denmark

    3 publications · 56 citations

    3

    h-index

  5. OK
    Oleg Kiselyov

    University of Tsukuba, Japan

    3 publications · 76 citations

    3

    h-index

1–5 of 220

Venues

  1. Electronic Notes in Theoretical Computer Science

    ENTCS · 2 publications · 29 citations

    2

    h-index

  2. Proceedings of the ACM on Programming Languages

    PACMPL · 2 publications · 55 citations

    2

    h-index

  3. Journal of Functional Programming

    2 publications · 70 citations

    2

    h-index

  4. ACM SIGPLAN Notices

    2 publications · 64 citations

    2

    h-index

  5. ACM Transactions on Architecture and Code Optimization

    TACO · 2 publications · 45 citations

    2

    h-index

1–5