Distributed Memory Optimization

Distributed Memory Optimization is a computational strategy within distributed computing systems that minimizes latency and maximizes data access efficiency by orchestrating data placement, replication, and communication patterns across geographically separated memory units to reduce synchronization overhead and remote memory access delays.

13

Publications

697

Citations

30

Authors

14

Institutions

Publications per year

2017–2026

0

Authors

30

  1. RD
    Raja Das

    Vellore Institute of Technology University, India

    2 publications · 230 citations

    2

    h-index

  2. MU
    Mustafa Uysal

    Hewlett-Packard (United States), United States

    2 publications · 230 citations

    2

    h-index

  3. XL
    Xicheng Lu

    National University of Defense Technology, China

    1 publications · 21 citations

    1

    h-index

  4. NX
    Nong Xiao

    National University of Defense Technology, China

    1 publications · 21 citations

    1

    h-index

  5. YS
    Y. S. Hwang

    Seoul National University, South Korea

    1 publications · 209 citations

    1

    h-index

1–5 of 30

Venues

  1. Journal of Parallel and Distributed Computing

    2 publications · 265 citations

    2

    h-index

  2. Computational Economics

    1 publications · 40 citations

    1

    h-index

  3. Parallel Computing

    1 publications · 39 citations

    1

    h-index

1–3