The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Parallel multilevel k-way partitioning scheme for irregular graphs
Abstract
In this paper we present a parallel formulation of a multilevel k-way graph partitioning algorithm. The multilevel k-way partitioning algorithm reduces the size of the graph by collapsing vertices and edges (coarsening phase), finds a k-way partition of the smaller graph, and then it constructs a k-way partition for the original graph by projecting and refining the partition to successively finer graphs (uncoarsening phase). A key innovative feature of our parallel formulation is that it utilizes graph coloring to effectively parallelize both the coarsening and the refinement during the uncoarsening phase. Our algorithm is able to achieve a high degree of concurrency, while maintaining the high quality partitions produced by the serial algorithm.
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Cites
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Self-citationDepartment of Computer Science
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A multilevel algorithm for partitioning graphs
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Shao, B., Wang, H., & Li, Y. (2013) · Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data · doi:10.1145/2463676.2467799 · Cited by 432
Multilevel Algorithms for Multi-Constraint Graph Partitioning
Karypis, G., & Kumar, V. (1998) · doi:10.5555/509058.509086 · Cited by 342
Self-citationMcCune, R. R., Weninger, T., & Madey, G. (2015) · ACM Computing Surveys · doi:10.1145/2818185 · Cited by 294
Metadata
- Authors
- Karypis, G., & Kumar, V.
- Venue
- Proceedings of the 1996 ACM/IEEE conference on Supercomputing
- Publisher
- IEEE Computer Society
- Published
- 1996-11-17
- Pages
- 35
- ISSN
- 1063-9535 (ISSN-L)
- OpenAlex
- W2124200646
- Cited by
- 310
- References
- 16
- FWCI
- 52.81
- Type
- conference paper
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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