Source-level Transformation

Source-Level Transformation is a method in high-level synthesis that modifies the algorithmic or behavioral description of a hardware design at the source code level to improve performance, area, or power metrics while preserving functional correctness.

57

Publications

3.5K

Citations

114

Authors

67

Institutions

Publications per year

2017–2026

3

Authors

114

  1. BF
    Bruce F. Duba

    Rice University, United States

    3 publications · 651 citations

    3

    h-index

  2. UK
    Ulrich Kremer

    Rutgers, The State University of New Jersey, United States

    3 publications · 439 citations

    3

    h-index

  3. CH
    Chung‐Hsing Hsu

    Los Alamos National Laboratory, United States

    3 publications · 439 citations

    3

    h-index

  4. AS
    Amr Sabry

    Indiana University Bloomington, United States

    3 publications · 651 citations

    3

    h-index

  5. MF
    Matthias Felleisen

    Northeastern University, United States

    3 publications · 651 citations

    3

    h-index

1–5 of 114

Venues

  1. ACM SIGPLAN Notices

    6 publications · 472 citations

    6

    h-index

  2. Science of Computer Programming

    3 publications · 86 citations

    3

    h-index

  3. International Journal of Parallel Programming

    1 publications · 76 citations

    1

    h-index

  4. Information and Software Technology

    1 publications · 122 citations

    1

    h-index

  5. 1

    h-index

1–5