Executable Image Generation

Executable Image Generation is the process of producing a standalone, machine-readable executable file from high-level source code or intermediate representations through Ahead-Of-Time Compilation, distinguished by its emphasis on generating optimized, platform-specific binary images prior to program execution.

10

Publications

275

Citations

50

Authors

15

Institutions

Publications per year

2017–2026

1

Authors

50

  1. SC
    Steve Chien

    Jet Propulsion Laboratory, United States

    3 publications · 80 citations

    3

    h-index

  2. BA
    Benjamin A. Korman

    Erasmus University Rotterdam, Netherlands

    1 publications · 29 citations

    1

    h-index

  3. MR
    Melissa Reilly

    University of Washington, United States

    1 publications · 29 citations

    1

    h-index

  4. YL
    Yandong Li

    University of Central Florida, United States

    1 publications · 32 citations

    1

    h-index

  5. AP
    Anders Pettersson

    Lund University, Sweden

    1 publications · 29 citations

    1

    h-index

1–5 of 50

Venues

  1. 1

    h-index

  2. Frontiers in Neuroinformatics

    1 publications · 29 citations

    1

    h-index

  3. ACM SIGPLAN Notices

    1 publications · 10 citations

    1

    h-index

1–3