Shared-memory Integration

Shared-Memory Integration is a computational framework that enables coordinated data access and task synchronization across heterogeneous processing units within a cluster by unifying distributed memory spaces with shared-memory semantics, thereby distinguishing itself from conventional distributed-memory models through direct inter-node memory coherence and low-latency communication support.

25

Publications

952

Citations

85

Authors

39

Institutions

Publications per year

2017–2026

6

Authors

85

  1. JH
    John Heinlein

    Stanford University, United States

    2 publications · 151 citations

    2

    h-index

  2. SV
    Sergio V. Tota

    Politecnico di Torino, Italy

    2 publications · 54 citations

    2

    h-index

  3. KG
    Kourosh Gharachorloo

    Stanford University, United States

    2 publications · 151 citations

    2

    h-index

  4. MR
    Mario R. Casu

    Politecnico di Torino, Italy

    2 publications · 54 citations

    2

    h-index

  5. NL
    Nicole L. Varga

    Emory University, United States

    2 publications · 68 citations

    2

    h-index

1–5 of 85

Venues

  1. Memory & Cognition

    2 publications · 68 citations

    2

    h-index

  2. International Conference on Lightning Protection

    Conference · 1 publications · 19 citations

    1

    h-index

  3. Cognitive Psychology

    1 publications · 29 citations

    1

    h-index

  4. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 1 publications · 80 citations

    1

    h-index

  5. Research in Engineering Design

    1 publications · 123 citations

    1

    h-index

1–5