Control Flow Prediction

Control Flow Prediction is a predictive mechanism in computer architecture that belongs to the class of branch prediction techniques, specifically distinguished by its focus on forecasting the likely path of execution through conditional branches and loops in a program’s control flow graph to enable speculative instruction execution.

65

Publications

3.2K

Citations

137

Authors

50

Institutions

Publications per year

2017–2026

6

Authors

137

  1. MF
    Manoj Franklin

    University of Maryland, College Park, United States

    4 publications · 136 citations

    4

    h-index

  2. ER
    Eric Rotenberg

    North Carolina State University, United States

    3 publications · 620 citations

    3

    h-index

  3. JE
    James E. Smith

    University of Wisconsin–Madison, United States

    3 publications · 223 citations

    3

    h-index

  4. WH
    Wen‐mei Hwu

    University of Illinois Urbana-Champaign, United States

    3 publications · 140 citations

    3

    h-index

  5. LK
    Lizy K. John

    The University of Texas at Austin, United States

    3 publications · 71 citations

    3

    h-index

1–5 of 137

Venues

  1. International Symposium on Microarchitecture

    Conference · 2 publications · 88 citations

    2

    h-index

  2. HAL (Le Centre pour la Communication Scientifique Directe)

    Repository · 1 publications · 22 citations

    1

    h-index

  3. ACM SIGOPS Operating Systems Review

    1 publications · 10 citations

    1

    h-index

  4. 1

    h-index

  5. IEEE Transactions on Computers

    1 publications · 95 citations

    1

    h-index

1–5