Pipeline Performance Modeling

Pipeline Performance Modeling is a formal analytical framework that characterizes the execution behavior and efficiency of pipeline-parallel systems by quantifying latency, throughput, and resource utilization specific to staged computational workloads.

117

Publications

4.7K

Citations

333

Authors

133

Institutions

Publications per year

2017–2026

27

Authors

333

  1. PB
    Pradip Bose

    IBM Research - Thomas J. Watson Research Center, United States

    4 publications · 292 citations

    4

    h-index

  2. PN
    Philip N. Strenski

    IBM Research - Thomas J. Watson Research Center, United States

    3 publications · 282 citations

    3

    h-index

  3. YL
    Yongtu Liang

    China University of Petroleum, Beijing, China

    3 publications · 170 citations

    3

    h-index

  4. GH
    Greg Hamerly

    University of California San Diego, United States

    3 publications · 392 citations

    3

    h-index

  5. PE
    Philip Emma

    IBM Research - Thomas J. Watson Research Center, United States

    3 publications · 282 citations

    3

    h-index

1–5 of 333

Venues

  1. IEEE Transactions on Computers

    8 publications · 401 citations

    8

    h-index

  2. Computers & Chemical Engineering

    4 publications · 193 citations

    4

    h-index

  3. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 3 publications · 105 citations

    3

    h-index

  4. Journal of Parallel and Distributed Computing

    3 publications · 39 citations

    3

    h-index

  5. Energy

    3 publications · 135 citations

    3

    h-index

1–5