Execution Time Analysis

Execution Time Analysis is a methodological framework within parallel performance analysis that quantifies the temporal behavior of parallel programs by measuring and evaluating the duration of their execution across different computational resources, distinguished by its focus on identifying performance bottlenecks and efficiency losses specific to parallelized task execution.

5K

Publications

232.4K

Citations

12.7K

Authors

2.6K

Institutions

Publications per year

2017–2026

1.2K

Authors

12.7K

  1. DW
    David Whalley

    Florida State University, United States

    17 publications · 964 citations

    16

    h-index

  2. JA
    Jaume Abella

    Universitat Politècnica de Catalunya, Spain

    21 publications · 553 citations

    15

    h-index

  3. FJ
    Francisco J. Cazorla

    Universitat Politècnica de Catalunya, Spain

    24 publications · 706 citations

    15

    h-index

  4. MO
    Michael O’Boyle

    University of Edinburgh, United Kingdom

    16 publications · 888 citations

    14

    h-index

  5. EQ
    Eduardo Quiñones

    Universitat Politècnica de Catalunya, Spain

    15 publications · 478 citations

    14

    h-index

1–5 of 12.7K

Venues

  1. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 85 publications · 4.4K citations

    37

    h-index

  2. IEEE Transactions on Computers

    87 publications · 5K citations

    36

    h-index

  3. ACM SIGPLAN Notices

    49 publications · 5.4K citations

    26

    h-index

  4. IEEE Access

    61 publications · 1.8K citations

    25

    h-index

  5. arXiv (Cornell University)

    Repository · 47 publications · 2.5K citations

    20

    h-index

1–5