Cache Miss Rate

Cache Miss Rate is the proportion of memory access requests that fail to find data in the cache, serving as a performance metric that quantifies the effectiveness of a cache hierarchy in a given computational workload.

444

Publications

23.8K

Citations

994

Authors

274

Institutions

Publications per year

2017–2026

44

Variants

Cache Miss Ratio

Authors

994

  1. JL
    John L. Hennessy

    Stanford University, United States

    8 publications · 611 citations

    8

    h-index

  2. MD
    Michel Dubois

    University of Southern California, United States

    7 publications · 318 citations

    7

    h-index

  3. SJ
    Susan J. Eggers

    University of Washington, United States

    7 publications · 608 citations

    7

    h-index

  4. PS
    Per Stenström

    Chalmers University of Technology, Sweden

    7 publications · 273 citations

    7

    h-index

  5. SD
    Srinivas Devadas

    Massachusetts Institute of Technology, United States

    7 publications · 637 citations

    7

    h-index

1–5 of 994

Venues

  1. ACM SIGARCH Computer Architecture News

    22 publications · 1.4K citations

    19

    h-index

  2. IEEE Transactions on Computers

    24 publications · 1.8K citations

    18

    h-index

  3. ACM SIGMETRICS Performance Evaluation Review

    PER · 9 publications · 392 citations

    9

    h-index

  4. ACM SIGPLAN Notices

    6 publications · 180 citations

    6

    h-index

  5. ACM Transactions on Computer Systems

    TOCS · 6 publications · 425 citations

    6

    h-index

1–5