External Memory Join Algorithms

External Memory Join Algorithms is a class of algorithms designed to efficiently compute join operations on datasets that exceed the capacity of main memory by optimizing input/output operations between internal and external storage.

11

Publications

663

Citations

27

Authors

8

Institutions

Publications per year

2017–2026

2

Authors

27

  1. KY
    Ke Yi

    Hong Kong University of Science and Technology, Hong Kong SAR China

    4 publications · 209 citations

    4

    h-index

  2. ZZ
    Zhuoyue Zhao

    University of Utah, United States

    4 publications · 209 citations

    4

    h-index

  3. BW
    Bin Wu

    Beijing University of Posts and Telecommunications, China

    4 publications · 209 citations

    4

    h-index

  4. LF
    Li Fei-Fei

    Stanford University, United States

    3 publications · 183 citations

    3

    h-index

  5. VK
    Victor Kuncak

    École Polytechnique Fédérale de Lausanne, Switzerland

    1 publications · 16 citations

    1

    h-index

1–5 of 27

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 22 citations

    2

    h-index

  2. 1

    h-index

  3. ACM Transactions on Database Systems

    TODS · 1 publications · 26 citations

    1

    h-index

  4. ACM SIGMOD Record

    1 publications · 23 citations

    1

    h-index

1–4