Shared-memory Data Structures

Shared-Memory Data Structures is a class of parallel data structures designed for concurrent access by multiple processors within a shared-memory system, distinguished by their reliance on coordinated memory accesses and synchronization mechanisms to ensure consistency and efficiency in a unified address space.

242

Publications

19.9K

Citations

606

Authors

200

Institutions

Publications per year

2017–2026

26

Authors

606

  1. MH
    Maurice Herlihy

    Brown University, United States

    9 publications · 3.5K citations

    9

    h-index

  2. MM
    Maged M. Michael

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

    5 publications · 909 citations

    5

    h-index

  3. MM
    Mark Moir

    Oracle (United States), United States

    5 publications · 336 citations

    5

    h-index

  4. ML
    Michael L. Scott

    University of Rochester, United States

    5 publications · 443 citations

    5

    h-index

  5. NS
    Nir Shavit

    Tel Aviv University, Israel

    5 publications · 435 citations

    5

    h-index

1–5 of 606

Venues

  1. ACM SIGPLAN Notices

    11 publications · 603 citations

    11

    h-index

  2. Journal of Parallel and Distributed Computing

    7 publications · 533 citations

    7

    h-index

  3. IEEE Transactions on Computers

    5 publications · 462 citations

    5

    h-index

  4. Proceedings of the International Conference on Parallel Processing

    Conference · 5 publications · 212 citations

    5

    h-index

  5. Computer Physics Communications

    4 publications · 82 citations

    4

    h-index

1–5