Cache Behavior Analysis

Cache Behavior Analysis is a performance analysis technique that characterizes the effectiveness of data caching in a computing system by examining the patterns and outcomes of cache memory accesses, distinguishing it from broader performance evaluation methods through its focused assessment of cache hit rates, miss rates, and locality of reference.

3.4K

Publications

219.3K

Citations

6.7K

Authors

1.2K

Institutions

Publications per year

2017–2026

516

Authors

6.7K

  1. CD
    Chen Ding

    University of Rochester, United States

    34 publications · 2.1K citations

    23

    h-index

  2. AJ
    Alan Jay Smith

    University of California, Berkeley, United States

    24 publications · 2.4K citations

    21

    h-index

  3. MM
    Margaret Martonosi

    Princeton University, United States

    23 publications · 2.1K citations

    19

    h-index

  4. BF
    Babak Falsafi

    Carnegie Mellon University, United States

    24 publications · 1.9K citations

    19

    h-index

  5. DA
    David A. Wood

    University of Wisconsin–Madison, United States

    19 publications · 2.3K citations

    17

    h-index

1–5 of 6.7K

Venues

  1. ACM SIGARCH Computer Architecture News

    117 publications · 8.2K citations

    43

    h-index

  2. IEEE Transactions on Computers

    84 publications · 5.6K citations

    41

    h-index

  3. ACM SIGPLAN Notices

    57 publications · 5.3K citations

    25

    h-index

  4. ACM SIGMETRICS Performance Evaluation Review

    PER · 44 publications · 2.7K citations

    25

    h-index

  5. ACM Transactions on Computer Systems

    TOCS · 23 publications · 2.4K citations

    20

    h-index

1–5