Parallel Aggregation

Parallel Aggregation is a parallel database processing technique that belongs to the class of query execution methods, specifically characterized by the concurrent computation of aggregate functions across partitioned data subsets to improve scalability and performance in large-scale data environments.

53

Publications

2.4K

Citations

142

Authors

65

Institutions

Publications per year

2017–2026

9

Authors

142

  1. FR
    Florin Rusu

    University of California, Merced, United States

    4 publications · 148 citations

    4

    h-index

  2. GA
    Gagan Agrawal

    The Ohio State University, United States

    4 publications · 111 citations

    4

    h-index

  3. CQ
    Chengjie Qin

    University of California, Merced, United States

    3 publications · 119 citations

    3

    h-index

  4. EZ
    Eitan Zahavi

    Mellanox Technologies (Israel), Israel

    2 publications · 153 citations

    2

    h-index

  5. JA
    Jose Alvin G. Gendrano

    University of Arizona, United States

    2 publications · 45 citations

    2

    h-index

1–5 of 142

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 45 citations

    2

    h-index

  2. Distributed and Parallel Databases

    2 publications · 61 citations

    2

    h-index

  3. Information Sciences

    1 publications · 19 citations

    1

    h-index

  4. Applied Physics Letters

    1 publications · 60 citations

    1

    h-index

  5. Scientific Programming

    1 publications · 616 citations

    1

    h-index

1–5