Context-sensitive Prediction

Context-Sensitive Prediction is a branch prediction technique that, as a refinement of dynamic prediction methods, distinguishes itself by incorporating historical execution context—such as recent branch outcomes, program path information, or architectural states—beyond the immediate branch address to improve prediction accuracy.

86

Publications

4.4K

Citations

264

Authors

132

Institutions

Publications per year

2017–2026

26

Authors

264

  1. RR
    Ronny Ronen

    Intel (Israel), Israel

    3 publications · 152 citations

    3

    h-index

  2. GK
    Gilad Kirshenboim

    Intel (Israel), Israel

    3 publications · 152 citations

    3

    h-index

  3. MB
    Michael Bekerman

    Intel (Israel), Israel

    3 publications · 152 citations

    3

    h-index

  4. SJ
    Stéphan Jourdan

    Intel (United States), United States

    3 publications · 152 citations

    3

    h-index

  5. LR
    Lihu Rappoport

    Intel (Israel), Israel

    3 publications · 152 citations

    3

    h-index

1–5 of 264

Venues

  1. ArXiv.org

    Repository · 3 publications · 79 citations

    3

    h-index

  2. 2

    h-index

  3. ACM SIGARCH Computer Architecture News

    2 publications · 38 citations

    2

    h-index

  4. Expert Systems with Applications

    2 publications · 108 citations

    2

    h-index

  5. Sensors

    1 publications · 20 citations

    1

    h-index

1–5