Performance Benchmarking

Performance Benchmarking is a systematic evaluation methodology used to quantitatively assess and compare the efficiency and effectiveness of parallel computing systems or algorithms against standardized metrics, workloads, or reference implementations to establish performance baselines or relative improvements.

953

Publications

67.6K

Citations

2.8K

Authors

847

Institutions

Publications per year

2017–2026

207

Authors

2.8K

  1. LK
    Lizy K. John

    The University of Texas at Austin, United States

    21 publications · 1.3K citations

    18

    h-index

  2. LE
    Lieven Eeckhout

    Ghent University, Belgium

    22 publications · 2.3K citations

    18

    h-index

  3. JD
    Jack Dongarra

    University of Tennessee at Knoxville, United States

    11 publications · 2K citations

    11

    h-index

  4. TK
    Tomáš Kalibera

    Purdue University West Lafayette, United States

    9 publications · 293 citations

    9

    h-index

  5. JL
    John L. Gustafson

    National University of Singapore, Singapore

    8 publications · 241 citations

    8

    h-index

1–5 of 2.8K

Venues

  1. ACM SIGARCH Computer Architecture News

    17 publications · 2.7K citations

    15

    h-index

  2. Computer

    14 publications · 1.6K citations

    14

    h-index

  3. Benchmarking An International Journal

    18 publications · 1.2K citations

    13

    h-index

  4. arXiv (Cornell University)

    Repository · 14 publications · 626 citations

    13

    h-index

  5. IEEE Transactions on Computers

    9 publications · 642 citations

    9

    h-index

1–5