Data-race Freedom

Data-Race Freedom is a formal program property, belonging to the class of memory safety guarantees, that distinguishes itself by ensuring all concurrent memory accesses are provably free of data races through adherence to a specified memory consistency model.

91

Publications

6.8K

Citations

192

Authors

67

Institutions

Publications per year

2017–2026

18

Authors

192

  1. SV
    Sarita V. Adve

    University of Illinois Urbana-Champaign, United States

    7 publications · 1.6K citations

    7

    h-index

  2. CB
    Chandrasekhar Boyapati

    Massachusetts Institute of Technology, United States

    7 publications · 1K citations

    7

    h-index

  3. MR
    Martin Rinard

    Massachusetts Institute of Technology, United States

    6 publications · 1K citations

    6

    h-index

  4. AR
    Alberto Ros

    Universidad de Murcia, Spain

    6 publications · 222 citations

    6

    h-index

  5. SK
    Stefanos Kaxiras

    Uppsala University, Sweden

    5 publications · 205 citations

    5

    h-index

1–5 of 192

Venues

  1. ACM SIGPLAN Notices

    12 publications · 824 citations

    12

    h-index

  2. Proceedings of the ACM on Programming Languages

    PACMPL · 4 publications · 75 citations

    4

    h-index

  3. 3

    h-index

  4. ACM Transactions on Architecture and Code Optimization

    TACO · 3 publications · 92 citations

    3

    h-index

  5. USENIX conference on Hot topics in parallelism

    Conference · 2 publications · 63 citations

    2

    h-index

1–5