Cache Access Patterns

Cache Access Patterns is a computational behavior construct that characterizes the temporal and spatial regularities in memory reference sequences relative to cache hierarchies, distinguishing it from general memory access models by focusing specifically on the recurrence, locality, and predictability of data accesses as they affect cache performance.

596

Publications

42.5K

Citations

1.4K

Authors

357

Institutions

Publications per year

2017–2026

90

Authors

1.4K

  1. BF
    Babak Falsafi

    Carnegie Mellon University, United States

    14 publications · 1.1K citations

    12

    h-index

  2. MK
    Mahmut Kandemir

    Pennsylvania State University, United States

    10 publications · 174 citations

    10

    h-index

  3. OM
    Onur Mutlu

    Carnegie Mellon University, United States

    9 publications · 1.1K citations

    9

    h-index

  4. MA
    Murali Annavaram

    University of Southern California, United States

    7 publications · 314 citations

    7

    h-index

  5. BB
    Basilio B. Fraguela

    Universidade da Coruña, Spain

    7 publications · 142 citations

    7

    h-index

1–5 of 1.4K

Venues

  1. IEEE Transactions on Computers

    20 publications · 2.1K citations

    18

    h-index

  2. ACM SIGARCH Computer Architecture News

    21 publications · 1.1K citations

    15

    h-index

  3. arXiv (Cornell University)

    Repository · 14 publications · 775 citations

    12

    h-index

  4. ACM SIGMETRICS Performance Evaluation Review

    PER · 9 publications · 415 citations

    9

    h-index

  5. Animal Behaviour

    8 publications · 640 citations

    8

    h-index

1–5