Coherence Scalability

Coherence Scalability is a performance metric that quantifies the ability of a cache coherence protocol to maintain efficient and consistent data sharing across an increasing number of processors or cores in a multiprocessor system without incurring prohibitive overhead.

30

Publications

1.3K

Citations

74

Authors

37

Institutions

Publications per year

2017–2026

2

Authors

74

  1. DJ
    Daniel J. Sorin

    Duke University, United States

    3 publications · 297 citations

    3

    h-index

  2. MR
    Matthew R. Johnson

    Yale University, United States

    2 publications · 59 citations

    2

    h-index

  3. SJ
    Sanjay J. Patel

    University of Illinois Urbana-Champaign, United States

    2 publications · 59 citations

    2

    h-index

  4. JH
    John H. Kelm

    University of Illinois Urbana-Champaign, United States

    2 publications · 59 citations

    2

    h-index

  5. SK
    Stefanos Kaxiras

    Uppsala University, Sweden

    2 publications · 69 citations

    2

    h-index

1–5 of 74

Venues

  1. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 2 publications · 37 citations

    2

    h-index

  2. 1

    h-index

  3. First Break

    1 publications · 61 citations

    1

    h-index

  4. ACM SIGARCH Computer Architecture News

    1 publications · 42 citations

    1

    h-index

  5. IEEE Computer Graphics and Applications

    1 publications · 84 citations

    1

    h-index

1–5