External Memory Model

An "External Memory Model" is a computational model that characterizes algorithmic performance in terms of data transfer between a fast internal memory of limited size and a slow external memory of unbounded size, differing from other computational models by explicitly accounting for I/O costs as the dominant factor in time complexity.

109

Publications

8.2K

Citations

287

Authors

118

Institutions

Publications per year

2017–2026

25

Authors

287

  1. JS
    Jeffrey Scott Vitter

    Duke University, United States

    10 publications · 714 citations

    10

    h-index

  2. LA
    Lars Arge

    Aarhus University, Denmark

    8 publications · 520 citations

    8

    h-index

  3. MT
    Michael T. Goodrich

    Johns Hopkins University, United States

    6 publications · 332 citations

    6

    h-index

  4. PF
    Paolo Ferragina

    University of Pisa, Italy

    4 publications · 176 citations

    4

    h-index

  5. YT
    Yufei Tao

    Chinese University of Hong Kong, Hong Kong SAR China

    4 publications · 159 citations

    4

    h-index

1–5 of 287

Venues

  1. arXiv (Cornell University)

    Repository · 11 publications · 1.1K citations

    11

    h-index

  2. SIAM Journal on Computing

    3 publications · 362 citations

    3

    h-index

  3. ACM Transactions on Information Systems

    2 publications · 65 citations

    2

    h-index

  4. Algorithmica

    2 publications · 32 citations

    2

    h-index

  5. Nature

    1 publications · 1.4K citations

    1

    h-index

1–5