Task Granularity Analysis

Task Granularity Analysis is a methodological framework within parallel performance analysis that characterizes the computational and communication workload of individual tasks to determine the optimal balance between parallelism and overhead in distributed or concurrent systems.

51

Publications

2.6K

Citations

160

Authors

78

Institutions

Publications per year

2017–2026

17

Authors

160

  1. NL
    Nai-Wei Lin

    National Chung Cheng University, Taiwan

    3 publications · 175 citations

    3

    h-index

  2. JH
    Jiun-Ming Hsu

    University of Illinois Urbana-Champaign, United States

    3 publications · 83 citations

    3

    h-index

  3. RH
    Robert H. Halstead

    Massachusetts Institute of Technology, United States

    2 publications · 462 citations

    2

    h-index

  4. CY
    Canqun Yang

    National University of Defense Technology, China

    2 publications · 59 citations

    2

    h-index

  5. EM
    Eric Mohr

    Yale University, United States

    2 publications · 462 citations

    2

    h-index

1–5 of 160

Venues

  1. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 4 publications · 642 citations

    4

    h-index

  2. 2

    h-index

  3. 2

    h-index

  4. 1

    h-index

  5. 1

    h-index

1–5