Cache Miss Analysis

Cache Miss Analysis is a systematic method within performance bottleneck analysis that identifies and characterizes the causes and patterns of cache misses in memory hierarchy design to optimize data access efficiency and system performance.

418

Publications

24.1K

Citations

811

Authors

242

Institutions

Publications per year

2017–2026

29

Authors

811

  1. MM
    Margaret Martonosi

    Princeton University, United States

    14 publications · 1.2K citations

    12

    h-index

  2. AJ
    Alan Jay Smith

    University of California, Berkeley, United States

    11 publications · 1.6K citations

    11

    h-index

  3. EH
    Erik Hägersten

    Uppsala University, Sweden

    7 publications · 466 citations

    7

    h-index

  4. JR
    Jan Reineke

    Saarland University, Germany

    7 publications · 427 citations

    7

    h-index

  5. ES
    Edward S. Davidson

    University of Michigan, United States

    7 publications · 482 citations

    7

    h-index

1–5 of 811

Venues

  1. IEEE Transactions on Computers

    21 publications · 2.2K citations

    18

    h-index

  2. ACM SIGARCH Computer Architecture News

    19 publications · 1K citations

    13

    h-index

  3. ACM SIGMETRICS Performance Evaluation Review

    PER · 10 publications · 315 citations

    10

    h-index

  4. ACM SIGPLAN Notices

    10 publications · 510 citations

    10

    h-index

  5. ACM Transactions on Computer Systems

    TOCS · 8 publications · 752 citations

    8

    h-index

1–5