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
Parents
13
1–5 of 13
30
2
h-index
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1–5 of 30
14
University of Maryland, College Park
College Park, United States
2 h-index
9 publications
941 citations
Parallel Consulting (United States)
Petaluma, United States
1 h-index
2 publications
42 citations
KU Leuven
Leuven, Belgium
1 h-index
1 publications
19 citations
University of Pittsburgh
Pittsburgh, United States
1 h-index
3 publications
93 citations

University of Toronto
Toronto, Canada
1 h-index
1 publications
10 citations

Urbana University
Urbana, United States
1 h-index
2 publications
112 citations
IBM (United States)
Armonk, United States
1 h-index
1 publications
56 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
1 h-index
2 publications
42 citations
1–8 of 14
2 publications · 265 citations
2
h-index
1 publications · 40 citations
1
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1 publications · 39 citations
1
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1–3