Path-based Prediction

Path-Based Prediction is a branch prediction technique that exploits the dynamic path of executed instructions leading to a branch site as the distinguishing context for predicting its outcome, differing from other context-based predictors by using control-flow path history instead of global or local branch histories.

101

Publications

6.1K

Citations

308

Authors

144

Institutions

Publications per year

2017–2026

32

Authors

308

  1. DA
    Daniel A. Jiménez

    Texas A&M University, United States

    4 publications · 213 citations

    4

    h-index

  2. DM
    Dariu M. Gavrila

    Daimler (Germany), Germany

    3 publications · 401 citations

    3

    h-index

  3. LW
    Li-C. Wang

    University of California, Santa Barbara, United States

    3 publications · 71 citations

    3

    h-index

  4. JZ
    Jianmin Zhao

    University of Birmingham, United Kingdom

    2 publications · 129 citations

    2

    h-index

  5. LL
    Lei Li

    Beijing Jiaotong University, China

    2 publications · 35 citations

    2

    h-index

1–5 of 308

Venues

  1. 4

    h-index

  2. Journal of Business Research

    JBR · 2 publications · 286 citations

    2

    h-index

  3. 2

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 417 citations

    2

    h-index

  5. IEEE Transactions on Computers

    1 publications · 31 citations

    1

    h-index

1–5