Parallel Minimum Spanning Tree Algorithms
Parallel Minimum Spanning Tree Algorithms is a class of parallel graph algorithms designed to efficiently compute a minimum spanning tree in a weighted undirected graph by concurrently processing multiple edges or subtrees, thereby reducing computational time through distributed or shared-memory parallelism.
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2017–2026
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Parallel algorithms for geometric graph problems
Alexandr Andoni, Aleksandar Nikolov, Krzysztof Onak et al. · 2014 · 131 citations
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Carnegie Mellon University
Pittsburgh, United States
4 h-index
10 publications
394 citations
Georgia Institute of Technology
Atlanta, United States
3 h-index
5 publications
184 citations
Princeton University
Princeton, United States
3 h-index
4 publications
184 citations

Paderborn University
Paderborn, Germany
2 h-index
3 publications
71 citations
John Brown University
Siloam Springs, United States
2 h-index
2 publications
206 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
2 h-index
3 publications
148 citations
IBM (United States)
Armonk, United States
2 h-index
2 publications
233 citations
Indian Institute of Technology Delhi
New Delhi, India
1 h-index
2 publications
164 citations
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3 publications · 87 citations
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3 publications · 129 citations
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Repository · 2 publications · 50 citations
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2 publications · 35 citations
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2 publications · 103 citations
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