Retargetable Code Generation

Retargetable Code Generation is a code generation methodology that enables the production of target-specific machine code from a common intermediate representation across multiple instruction set architectures by parameterizing the translation process with architecture-dependent specifications.

168

Publications

7.8K

Citations

311

Authors

107

Institutions

Publications per year

2017–2026

10

Authors

311

  1. PM
    Peter Marwedel

    TU Dortmund University, Germany

    15 publications · 606 citations

    13

    h-index

  2. RL
    Rainer Leupers

    RWTH Aachen University, Germany

    12 publications · 367 citations

    11

    h-index

  3. CW
    Christopher W. Fraser

    University of Arizona, United States

    9 publications · 495 citations

    9

    h-index

  4. HM
    H. Meyr

    RWTH Aachen University, Germany

    6 publications · 343 citations

    6

    h-index

  5. PP
    Pierre Paulin

    STMicroelectronics (Switzerland), Switzerland

    6 publications · 313 citations

    6

    h-index

1–5 of 311

Venues

  1. ACM SIGPLAN Notices

    7 publications · 327 citations

    7

    h-index

  2. Software Practice and Experience

    6 publications · 180 citations

    6

    h-index

  3. IEEE Design & Test of Computers

    5 publications · 154 citations

    5

    h-index

  4. 4

    h-index

  5. ACM Transactions on Architecture and Code Optimization

    TACO · 3 publications · 85 citations

    3

    h-index

1–5