Loop Prediction

Loop Prediction is a branch prediction technique that specializes in accurately forecasting the repetitive behavior of loop structures by leveraging the expected iteration count and control flow regularity inherent in loop constructs.

72

Publications

9K

Citations

187

Authors

126

Institutions

Publications per year

2017–2026

20

Authors

187

  1. CM
    Charlotte M. Deane

    University of Oxford, United Kingdom

    8 publications · 508 citations

    8

    h-index

  2. RA
    Richard A. Friesner

    Columbia University, United States

    5 publications · 3K citations

    5

    h-index

  3. MP
    Matthew P. Jacobson

    University of California, San Francisco, United States

    4 publications · 2.7K citations

    4

    h-index

  4. KZ
    Kai Zhu

    Schrodinger (United States), United States

    4 publications · 460 citations

    4

    h-index

  5. LS
    Leonardo Senatore

    Kavli Institute for Particle Astrophysics and Cosmology, United States

    3 publications · 112 citations

    3

    h-index

1–5 of 187

Venues

  1. Proteins Structure Function and Bioinformatics

    19 publications · 3.6K citations

    15

    h-index

  2. Bioinformatics

    5 publications · 126 citations

    5

    h-index

  3. Protein Science

    PS · 4 publications · 2.9K citations

    4

    h-index

  4. Journal of Chemical Theory and Computation

    JCTC · 3 publications · 44 citations

    3

    h-index

  5. Journal of Chemical Information and Modeling

    JCIM · 2 publications · 36 citations

    2

    h-index

1–5