Microbenchmarking

Microbenchmarking is a specialized form of performance evaluation that isolates and measures the execution time or resource consumption of a narrowly defined computational component or operation to identify fine-grained inefficiencies within a system.

42

Publications

2.5K

Citations

118

Authors

43

Institutions

Publications per year

2017–2026

13

Authors

118

  1. PL
    Philipp Leitner

    University of Zurich, Switzerland

    6 publications · 223 citations

    6

    h-index

  2. MS
    Margo Seltzer

    Harvard University Press, United States

    4 publications · 206 citations

    4

    h-index

  3. CL
    Christoph Laaber

    University of Zurich, Switzerland

    4 publications · 161 citations

    4

    h-index

  4. DB
    Doug Burger

    The University of Texas at Austin, United States

    4 publications · 322 citations

    4

    h-index

  5. RD
    Rajagopalan Desikan

    The University of Texas at Austin, United States

    3 publications · 296 citations

    3

    h-index

1–5 of 118

Venues

  1. Empirical Software Engineering

    3 publications · 110 citations

    3

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 53 citations

    2

    h-index

  3. ACM Transactions on Computer Systems

    TOCS · 1 publications · 53 citations

    1

    h-index

  4. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 1 publications · 210 citations

    1

    h-index

  5. Software Practice and Experience

    1 publications · 17 citations

    1

    h-index

1–5