Cache Memory Modeling

Cache Memory Modeling is a computational framework that formalizes the mechanisms and dynamics of data retention, access, and replacement in cache memory systems to enable analytical or simulation-based performance prediction within computer architecture studies.

191

Publications

11.4K

Citations

477

Authors

166

Institutions

Publications per year

2017–2026

21

Authors

477

  1. MH
    Mark Horowitz

    Stanford University, United States

    6 publications · 493 citations

    6

    h-index

  2. EH
    Erik Hägersten

    Uppsala University, Sweden

    6 publications · 180 citations

    6

    h-index

  3. YX
    Yuan Xie

    Pennsylvania State University, United States

    5 publications · 687 citations

    5

    h-index

  4. AF
    Amin Firoozshahian

    Stanford University, United States

    4 publications · 170 citations

    4

    h-index

  5. AS
    Alex Solomatnikov

    Stanford University, United States

    4 publications · 170 citations

    4

    h-index

1–5 of 477

Venues

  1. IEEE Transactions on Computers

    16 publications · 1.5K citations

    12

    h-index

  2. ACM SIGARCH Computer Architecture News

    8 publications · 160 citations

    8

    h-index

  3. arXiv (Cornell University)

    Repository · 4 publications · 84 citations

    4

    h-index

  4. ACM Transactions on Computer Systems

    TOCS · 4 publications · 545 citations

    4

    h-index

  5. Performance Evaluation

    2 publications · 42 citations

    2

    h-index

1–5