Execution Engine Optimization

Execution Engine Optimization is a methodological framework within performance tuning that specifically enhances the runtime efficiency and resource utilization of a computational system’s execution engine by refining instruction scheduling, memory management, and parallelism exploitation.

29

Publications

1.5K

Citations

120

Authors

34

Institutions

Publications per year

2017–2026

12

Authors

120

  1. YN
    Yale N. Patt

    The University of Texas at Austin, United States

    3 publications · 103 citations

    3

    h-index

  2. VP
    Vijayan Prabhakaran

    University of Wisconsin–Madison, United States

    2 publications · 218 citations

    2

    h-index

  3. SK
    Stefanos Kaxiras

    Uppsala University, Sweden

    2 publications · 44 citations

    2

    h-index

  4. ME
    Marius Evers

    University of Michigan, United States

    2 publications · 76 citations

    2

    h-index

  5. AJ
    Alexandra Jimborean

    Uppsala University, Sweden

    2 publications · 44 citations

    2

    h-index

1–5 of 120

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 3 publications · 96 citations

    3

    h-index

  2. arXiv (Cornell University)

    Repository · 3 publications · 41 citations

    3

    h-index

  3. ACM Transactions on Database Systems

    TODS · 1 publications · 46 citations

    1

    h-index

  4. Future Generation Computer Systems

    FGCS · 1 publications · 10 citations

    1

    h-index

  5. Data Archiving and Networked Services (DANS)

    Repository · 1 publications · 124 citations

    1

    h-index

1–5