Application Benchmarking

Application Benchmarking is a scholarly contribution that evaluates and compares the performance of specific methods, models, frameworks, or systems within a defined application domain to establish empirical validity and practical utility relative to existing approaches.

79

Publications

3.7K

Citations

246

Authors

103

Institutions

Publications per year

2017–2026

18

Authors

246

  1. LK
    Lizy K. John

    The University of Texas at Austin, United States

    3 publications · 83 citations

    3

    h-index

  2. LE
    Lieven Eeckhout

    Ghent University, Belgium

    3 publications · 98 citations

    3

    h-index

  3. AS
    Allan Snavely

    San Diego Supercomputer Center, United States

    2 publications · 64 citations

    2

    h-index

  4. RS
    Ruchira Sasanka

    University of Illinois Urbana-Champaign, United States

    2 publications · 189 citations

    2

    h-index

  5. PL
    Philipp Leitner

    University of Zurich, Switzerland

    2 publications · 65 citations

    2

    h-index

1–5 of 246

Venues

  1. ACM SIGPLAN Notices

    3 publications · 49 citations

    3

    h-index

  2. The Journal of Supercomputing

    2 publications · 58 citations

    2

    h-index

  3. Proceedings of the VLDB Endowment

    PVLDB · 2 publications · 74 citations

    2

    h-index

  4. DigitalCommons - CalPoly (California State Polytechnic University)

    Repository · 1 publications · 14 citations

    1

    h-index

  5. Quantum

    1 publications · 87 citations

    1

    h-index

1–5