Parallel Minimum Spanning Tree Algorithms

Parallel Minimum Spanning Tree Algorithms is a class of parallel graph algorithms designed to efficiently compute a minimum spanning tree in a weighted undirected graph by concurrently processing multiple edges or subtrees, thereby reducing computational time through distributed or shared-memory parallelism.

43

Publications

1.8K

Citations

85

Authors

57

Institutions

Publications per year

2017–2026

1

Authors

85

  1. DA
    David A. Bader

    Georgia Institute of Technology, United States

    4 publications · 174 citations

    4

    h-index

  2. PM
    Panagiotis Metaxas

    Wellesley College, United States

    3 publications · 83 citations

    3

    h-index

  3. DB
    D. Barton Johnson

    Pennsylvania State University, United States

    3 publications · 83 citations

    3

    h-index

  4. RE
    Robert E. Tarjan

    Princeton University, United States

    3 publications · 117 citations

    3

    h-index

  5. RC
    Richard Cole

    New York University, United States

    3 publications · 276 citations

    3

    h-index

1–5 of 85

Venues

  1. Parallel Computing

    3 publications · 87 citations

    3

    h-index

  2. Information Processing Letters

    3 publications · 129 citations

    3

    h-index

  3. Defense Technical Information Center (DTIC)

    Repository · 2 publications · 50 citations

    2

    h-index

  4. Algorithmica

    2 publications · 35 citations

    2

    h-index

  5. Journal of Algorithms

    2 publications · 103 citations

    2

    h-index

1–5