External Memory Intersection Algorithms

External Memory Intersection Algorithms is an algorithmic framework designed to compute the intersection of large datasets stored in external memory, distinguished by its optimization for minimizing input/output operations between internal and external storage during set-intersection computations.

9

Publications

212

Citations

17

Authors

9

Institutions

Publications per year

2017–2026

2

Authors

17

  1. LA
    Lars Arge

    Aarhus University, Denmark

    3 publications · 89 citations

    3

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  2. YC
    Yi Cui

    Tianjin University, China

    2 publications · 24 citations

    2

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  3. JS
    Jeffrey Scott Vitter

    Duke University, United States

    2 publications · 79 citations

    2

    h-index

  4. AC
    Andreas Crauser

    Max Planck Institute for Informatics, Germany

    2 publications · 54 citations

    2

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  5. DE
    Darren Erik Vengroff

    Duke University, United States

    2 publications · 79 citations

    2

    h-index

1–5 of 17

Venues

  1. BRICS Report Series

    2 publications · 55 citations

    2

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  2. 1

    h-index

  3. Algorithmica

    1 publications · 34 citations

    1

    h-index

  4. 1

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 11 citations

    1

    h-index

1–5