Concepedia

Parallel Execution Plans

Parallel Execution Plans is a parallel database processing strategy that specifies how query operations are decomposed, distributed, and executed concurrently across multiple processors or nodes to enhance performance through task parallelism, differing from sequential execution plans by enabling simultaneous data processing on shared or distributed hardware resources.

31

Publications

2.2K

Citations

85

Authors

27

Institutions

Publications per year

2017–2026

4

Parents

Publications

31

Planning in Time: Windows and Durations for Activities and Goals

Steven A. Vere · IEEE Transactions on Pattern Analysis and Machine Intelligence · 1983 · 386 citations

, , +12

Planning as satisfiability: parallel plans and algorithms for plan search

Jussi Rintanen, Keijo Heljanko, Ilkka Niemelä · Artificial Intelligence · 2006 · 205 citations

, , +8

Optimization of parallel query execution plans in XPRS

Wei Hong, Michael Stonebraker · Distributed and Parallel Databases · 1993 · 195 citations

, , +17

SystemML

Matthias Böehm, Michael W. Dusenberry, Deron Eriksson et al. · Proceedings of the VLDB Endowment · 2016 · 189 citations

, , +17

Re-optimizing data-parallel computing

Sameer Agarwal, Srikanth Kandula, Nicolas Bruno et al. · 2012 · 171 citations

, , +16

1–5 of 31

Authors

85

  1. WH
    Wei Hong

    University of California, Berkeley, United States

    3 publications · 287 citations

    3

    h-index

  2. PS
    Prithviraj Sen

    University of Maryland, College Park, United States

    2 publications · 281 citations

    2

    h-index

  3. JZ
    Jingren Zhou

    Alibaba Group (United States), United States

    2 publications · 144 citations

    2

    h-index

  4. ST
    Shirish Tatikonda

    The Ohio State University, United States

    2 publications · 281 citations

    2

    h-index

  5. PK
    Panos Kalnis

    King Abdullah University of Science and Technology, Saudi Arabia

    2 publications · 100 citations

    2

    h-index

1–5 of 85

Institutions

27

  1. University of California, Berkeley

    Berkeley, United States

    5 h-index

    8 publications

    908 citations

  2. Microsoft (United States)

    Redmond, United States

    4 h-index

    12 publications

    1.3K citations

  3. King Abdullah University of Science and Technology

    Jeddah, Saudi Arabia

    2 h-index

    10 publications

    500 citations

  4. IBM Research - Almaden

    San Jose, United States

    2 h-index

    15 publications

    2.2K citations

  5. Systems, Applications & Products in Data Processing (Germany)

    Walldorf, Germany

    2 h-index

    6 publications

    155 citations

  6. Indian Institute of Technology Bombay

    Mumbai, India

    2 h-index

    2 publications

    119 citations

  7. Helsinki Institute of Physics

    Helsinki, Finland

    1 h-index

    2 publications

    410 citations

  8. Digital Wave (United States)

    Centennial, United States

    1 h-index

    2 publications

    82 citations

1–8 of 27

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 5 publications · 427 citations

    5

    h-index

  2. ACM SIGMOD Record

    4 publications · 106 citations

    4

    h-index

  3. Distributed and Parallel Databases

    2 publications · 222 citations

    2

    h-index

  4. Journal of Artificial Intelligence Research

    JAIR · 2 publications · 122 citations

    2

    h-index

  5. 1

    h-index

1–5