Parallel Dynamic Programming

Parallel Dynamic Programming is a computational framework within dynamic programming that partitions and concurrently executes subproblems across multiple processing units to reduce overall computation time while preserving dependency constraints.

159

Publications

7K

Citations

439

Authors

208

Institutions

Publications per year

2017–2026

32

Authors

439

  1. RC
    Rezaul Chowdhury

    The University of Texas at Austin, United States

    3 publications · 62 citations

    3

    h-index

  2. ZG
    Zvi Galil

    Tel Aviv University, Israel

    3 publications · 195 citations

    3

    h-index

  3. JC
    Juan Carlos Moure

    Universitat Autònoma de Barcelona, Spain

    3 publications · 53 citations

    3

    h-index

  4. AE
    Antonio Espinosa

    Universidad de Granada, Spain

    3 publications · 53 citations

    3

    h-index

  5. PG
    Pramod Ganapathi

    Stony Brook University, United States

    3 publications · 62 citations

    3

    h-index

1–5 of 439

Venues

  1. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 8 publications · 453 citations

    8

    h-index

  2. IEEE Transactions on Power Systems

    6 publications · 317 citations

    6

    h-index

  3. Parallel Computing

    4 publications · 99 citations

    4

    h-index

  4. Advances in Water Resources

    3 publications · 197 citations

    3

    h-index

  5. Proceedings of the International Conference on Parallel Processing

    Conference · 3 publications · 61 citations

    3

    h-index

1–5