Application Profiling

Application Profiling is a systematic analysis method that identifies and quantifies the computational, memory, and execution characteristics of software applications to evaluate cost-performance tradeoffs and detect performance bottlenecks within a given computing environment.

228

Publications

10K

Citations

632

Authors

190

Institutions

Publications per year

2017–2026

41

Authors

632

  1. WB
    Walter Binder

    Università della Svizzera italiana, Switzerland

    8 publications · 110 citations

    8

    h-index

  2. CD
    Camil Demetrescu

    Sapienza University of Rome, Italy

    5 publications · 148 citations

    5

    h-index

  3. MH
    Matthias Hauswirth

    Università della Svizzera italiana, Switzerland

    5 publications · 226 citations

    5

    h-index

  4. IF
    Irene Finocchi

    Sapienza University of Rome, Italy

    5 publications · 148 citations

    5

    h-index

  5. RL
    Roman Lysecky

    University of Arizona, United States

    4 publications · 47 citations

    4

    h-index

1–5 of 632

Venues

  1. ACM SIGPLAN Notices

    11 publications · 272 citations

    10

    h-index

  2. ACM SIGARCH Computer Architecture News

    4 publications · 156 citations

    4

    h-index

  3. 4

    h-index

  4. ACM SIGOPS Operating Systems Review

    3 publications · 384 citations

    3

    h-index

  5. IEEE Transactions on Cloud Computing

    2 publications · 39 citations

    2

    h-index

1–5