Multiprocessor Task Models

Multiprocessor Task Models is a computational framework that specifies how tasks are structured, scheduled, and executed in multiprocessor systems by explicitly accounting for task-level parallelism, resource sharing, and inter-processor communication constraints.

58

Publications

4.4K

Citations

140

Authors

69

Institutions

Publications per year

2017–2026

6

Authors

140

  1. KA
    Kunal Agrawal

    Washington University in St. Louis, United States

    3 publications · 426 citations

    3

    h-index

  2. CL
    Chenyang Lu

    Washington University in St. Louis, United States

    3 publications · 426 citations

    3

    h-index

  3. AS
    Abusayeed Saifullah

    Washington University in St. Louis, United States

    3 publications · 418 citations

    3

    h-index

  4. SC
    Samarjit Chakraborty

    Technical University of Munich, Germany

    2 publications · 68 citations

    2

    h-index

  5. VY
    V. Y. Shen

    Hong Kong University of Science and Technology, Hong Kong SAR China

    2 publications · 158 citations

    2

    h-index

1–5 of 140

Venues

  1. IEEE Transactions on Computers

    6 publications · 2.1K citations

    6

    h-index

  2. Real-Time Systems

    3 publications · 217 citations

    3

    h-index

  3. European Journal of Operational Research

    3 publications · 136 citations

    3

    h-index

  4. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 3 publications · 83 citations

    3

    h-index

  5. Journal of the ACM

    JACM · 2 publications · 158 citations

    2

    h-index

1–5