Partition Optimization
Partition Optimization is a methodological framework within data partitioning that systematically enhances the efficiency, scalability, and performance of distributed data processing by determining optimal criteria and configurations for dividing datasets into subsets according to specific computational and storage objectives.
207
Publications
9.4K
Citations
618
Authors
293
Institutions
Publications per year
2017–2026
60
Parents
207
Multilevel <i>k</i> -way hypergraph partitioning
George Karypis, Vipin Kumar · 1999 · 384 citations
An algorithm for optimal partitioning of data on an interval
IEEE Signal Processing Letters · 2005 · 337 citations · Full text
Multilevel <i>k</i>‐way Hypergraph Partitioning
George Karypis, Vipin Kumar · VLSI design · 1999 · 258 citations · Full text
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Tsinghua University
Beijing, China
5 h-index
17 publications
1K citations

University of Minnesota
Minneapolis, United States
5 h-index
9 publications
2K citations
Columbia University
New York, United States
4 h-index
6 publications
171 citations

Southeast University
Nanjing, China
4 h-index
15 publications
375 citations

Huazhong University of Science and Technology
Wuhan, China
4 h-index
13 publications
341 citations

National University of Defense Technology
Changsha, China
4 h-index
8 publications
330 citations
University of California, Los Angeles
Los Angeles, United States
4 h-index
8 publications
343 citations
Georgia Institute of Technology
Atlanta, United States
3 h-index
7 publications
244 citations
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PVLDB · 6 publications · 522 citations
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TKDE · 5 publications · 274 citations
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4 publications · 68 citations
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FGCS · 3 publications · 115 citations
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TSE · 3 publications · 184 citations
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