Synchronization Avoidance

Synchronization Avoidance is a computational strategy in the domain of parallel and distributed systems that eliminates or reduces explicit coordination between processes or threads, distinguishing itself by enabling progress without requiring all participants to reach a common point of agreement, thereby enhancing performance in nonblocking communication and latency hiding contexts.

13

Publications

473

Citations

34

Authors

21

Institutions

Publications per year

2017–2026

1

Authors

34

  1. RG
    Rajiv Gupta

    University of California, Riverside, United States

    2 publications · 190 citations

    2

    h-index

  2. JM
    John Mellor‐Crummey

    Rice University, United States

    1 publications · 12 citations

    1

    h-index

  3. AV
    Alan V. Oppenheim

    Massachusetts Institute of Technology, United States

    1 publications · 63 citations

    1

    h-index

  4. KK
    K.-T. Kim

    Physikalisch-Technische Bundesanstalt, Germany

    1 publications · 14 citations

    1

    h-index

  5. SK
    Sy‐Yen Kuo

    National Taiwan University, Taiwan

    1 publications · 45 citations

    1

    h-index

1–5 of 34

Venues

  1. IEEE Transactions on Cybernetics

    1 publications · 24 citations

    1

    h-index

  2. Software Practice and Experience

    1 publications · 23 citations

    1

    h-index

  3. ACM SIGARCH Computer Architecture News

    1 publications · 93 citations

    1

    h-index

  4. Journal of Computer and System Sciences

    1 publications · 28 citations

    1

    h-index

  5. Applied Physics Letters

    1 publications · 14 citations

    1

    h-index

1–5