Thread-based Parallelism

Thread-Based Parallelism is a form of shared-memory parallelism in which concurrent execution is achieved through multiple threads of control within a single process, each independently executing instructions but sharing the same memory space to enable efficient data access and communication.

328

Publications

18.4K

Citations

914

Authors

234

Institutions

Publications per year

2017–2026

44

Authors

914

  1. DM
    Dean M. Tullsen

    University of California San Diego, United States

    13 publications · 2.6K citations

    12

    h-index

  2. TM
    Trevor Mudge

    University of Michigan, United States

    9 publications · 542 citations

    9

    h-index

  3. WJ
    William J. Dally

    Stanford University, United States

    7 publications · 403 citations

    7

    h-index

  4. KF
    Krisztián Flautner

    University of Michigan, United States

    7 publications · 438 citations

    7

    h-index

  5. XT
    Xinmin Tian

    Intel (United States), United States

    7 publications · 285 citations

    7

    h-index

1–5 of 914

Venues

  1. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 11 publications · 485 citations

    12

    h-index

  2. ACM SIGARCH Computer Architecture News

    12 publications · 997 citations

    11

    h-index

  3. ACM SIGPLAN Notices

    7 publications · 295 citations

    7

    h-index

  4. Concurrency Practice and Experience

    4 publications · 59 citations

    4

    h-index

  5. Journal of Parallel and Distributed Computing

    4 publications · 118 citations

    4

    h-index

1–5