Branch Prediction

Branch Prediction is a processor optimization technique in computer architecture that speculatively determines the likely outcome of conditional branch instructions to maintain instruction pipeline efficiency by fetching instructions along the predicted path.

668

Publications

45.6K

Citations

1.1K

Authors

287

Institutions

Publications per year

2017–2026

56

Authors

1.1K

  1. YN
    Yale N. Patt

    The University of Texas at Austin, United States

    55 publications · 4.4K citations

    32

    h-index

  2. AS
    André Seznec

    Institut de Recherche en Informatique et Systèmes Aléatoires, France

    30 publications · 1.5K citations

    22

    h-index

  3. BC
    Brad Calder

    University of California San Diego, United States

    26 publications · 1.4K citations

    21

    h-index

  4. DA
    Daniel A. Jiménez

    Texas A&M University, United States

    23 publications · 1.4K citations

    19

    h-index

  5. DG
    Dirk Grunwald

    University of Colorado Boulder, United States

    21 publications · 1.2K citations

    17

    h-index

1–5 of 1.1K

Venues

  1. ACM SIGARCH Computer Architecture News

    35 publications · 1.9K citations

    23

    h-index

  2. IEEE Transactions on Computers

    19 publications · 890 citations

    15

    h-index

  3. ACM SIGPLAN Notices

    14 publications · 3.8K citations

    13

    h-index

  4. ACM Transactions on Architecture and Code Optimization

    TACO · 10 publications · 269 citations

    9

    h-index

  5. arXiv (Cornell University)

    Repository · 7 publications · 386 citations

    7

    h-index

1–5