1989
DOI: 10.1016/0010-4485(89)90159-0
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Efficient algorithm for graph-partitioning problem using a problem transformation method

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Cited by 19 publications
(15 citation statements)
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“…A variation of the LPK algorithm [12] is then used to swap FUs between clusters, so as to minimize their communication. The communication cost between two clusters, for a given FU distribution, is the total number of data dependencies that cross the clusters border.…”
Section: Cluster Partitioningmentioning
confidence: 99%
“…A variation of the LPK algorithm [12] is then used to swap FUs between clusters, so as to minimize their communication. The communication cost between two clusters, for a given FU distribution, is the total number of data dependencies that cross the clusters border.…”
Section: Cluster Partitioningmentioning
confidence: 99%
“…Examples of such perturbations, for the graph partitioning problem, appear in the literature (see [19,43,44] 2 ). Two feasible solutions t and t are called neighbors iff t is the result of a finite number of consecutive perturbations on t. The set of all neighbors of t is called a neighborhood structure.…”
Section: Geometry Graph Partitioning Algorithmmentioning
confidence: 99%
“…This process is repeated for decreasing distances with the goal of exiting local minima. The deterministic algorithm is an extension of the Lee, Park and Kim (LPK) [13], and the Fiduccia and Mattheyses…”
Section: Algorithm Implementationmentioning
confidence: 99%