Transactional Data Structures

Transactional Data Structures is a class of concurrent data structures designed to support atomic, consistent, isolated, and durable (ACID) operations within parallel computing environments by integrating transactional memory principles to ensure correct and coordinated access under concurrency.

72

Publications

4.7K

Citations

198

Authors

86

Institutions

Publications per year

2017–2026

11

Authors

198

  1. TH
    Tim Harris

    Microsoft Research (United Kingdom), United Kingdom

    5 publications · 449 citations

    5

    h-index

  2. MM
    Mark Moir

    Oracle (United States), United States

    5 publications · 1.2K citations

    5

    h-index

  3. MH
    Maurice Herlihy

    Brown University, United States

    4 publications · 1.6K citations

    4

    h-index

  4. AD
    Aleksandar Dragojević

    École Polytechnique Fédérale de Lausanne, Switzerland

    3 publications · 125 citations

    3

    h-index

  5. OÜ
    Osman Ünsal

    Universitat Politècnica de Catalunya, Spain

    3 publications · 165 citations

    3

    h-index

1–5 of 198

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 3 publications · 126 citations

    3

    h-index

  2. American Journal of Applied Sciences

    AJAS · 1 publications · 48 citations

    1

    h-index

  3. ACM SIGPLAN Notices

    1 publications · 15 citations

    1

    h-index

  4. European Conference on Artificial Intelligence

    Conference · 1 publications · 12 citations

    1

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 25 citations

    1

    h-index

1–5