Distributed-memory Integration

Distributed-Memory Integration is a computational framework that enables coordinated processing across multiple processing units with physically separate memory spaces by managing data distribution and communication through explicit message-passing mechanisms to maintain consistency and scalability in heterogeneous cluster environments.

15

Publications

435

Citations

48

Authors

27

Institutions

Publications per year

2017–2026

0

Authors

48

  1. MK
    Michael Klemm

    Intel (United States), United States

    1 publications · 42 citations

    1

    h-index

  2. PP
    Paul Peltz

    University of Tennessee at Knoxville, United States

    1 publications · 13 citations

    1

    h-index

  3. EB
    Edmon Begoli

    Oak Ridge National Laboratory, United States

    1 publications · 13 citations

    1

    h-index

  4. JS
    Jeffrey S. Chase

    Duke University, United States

    1 publications · 34 citations

    1

    h-index

  5. YW
    Yair Wiseman

    Bar-Ilan University, Israel

    1 publications · 16 citations

    1

    h-index

1–5 of 48

Venues

  1. 2

    h-index

  2. 1

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  3. Computers & Chemical Engineering

    1 publications · 17 citations

    1

    h-index

  4. IEEE Transactions on Evolutionary Computation

    1 publications · 15 citations

    1

    h-index

  5. Biologically Inspired Cognitive Architectures

    1 publications · 27 citations

    1

    h-index

1–5