College of Engineering and Computer Science Former Departments, Centers, Institutes and Projects College of Engineering and Computer Science 1994 Genetic Algorithms for Graph Partitioning and Incremental Graph Partitioning Harpal Maini Syracuse University, Kishan Mehrotra Syracuse University, [email protected] edu ChilukuriA successful heuristics for partitioning large graphs is the multilevel approach depicted in Figure 1 where the graph is recursively contracted to achieve a smaller graph with the same basic structure. After applying an initial partitioning algorithm to this small graph, the contraction is undone and, at each level, a local renement method engineering graph partitioning algorithms

Graph partition methods. Well known local methods are the KernighanLin algorithm, and FiducciaMattheyses algorithms, which were the first effective 2way cuts by local search strategies. Their major drawback is the arbitrary initial partitioning of the vertex set, which can affect the final solution quality.

CiteSeerX Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): The paper gives an overview of our recent work on balanced graph partitioning partition the nodes of a graph into k blocks such that all blocks have approximately equal size and such that the number of cut edges is small. This problem has numerous applications for example in parallel processing.

In order to represent such highly asymmetric matrix structures, the ordering algorithm developed here is based on the partitioning of a bipartite graph model of the sparse matrix, as developed in

Nov 30, 2010 Abstract: We present a multilevel graph partitioning algorithm using novel local improvement algorithms and global search strategies transferred from the multigrid community. Local improvement algorithms are based maxflow mincut computations and more localized FM searches. By combining these techniques, we obtain an algorithm that is fast on the one hand and on the other

We present a multilevel graph partitioning algorithm using novel local improvement algorithms and global search strategies transferred from multigrid linear solvers. Local improvement algorithms are based on maxflow mincut computations and more localized FM searches.

Algorithms, an international, peerreviewed Open Access journal. Dear Colleagues, We invite you to submit your latest research in the area of graph partitioning to this Special Issue, Graph Partitioning: Theory, Engineering, and Applications.

5 17 Sep 9 Practical Graph Algorithms 19 Sep 10 Performance Analysis, Multicore and HighPerformance Computing 6 24 Sep 11 Multiscale, Multiphysics applications 26 Sep 12 Classes: P, NP, Reductions, NPcompleteness proofs 7 1 Oct 13 Largescale Graph and Multithreaded Algorithms 3 Oct 14 Graph Partitioning (with Nodal Coordinates)

Abstract. The paper gives an overview of our recent work on balanced graph partitioning partition the nodes of a graph into k blocks such that all blocks have approximately equal size and such that the number of cut edges is small. This problem has numerous applications for example in parallel processing.

Rating: 4.89 / Views: 662Graph partitioning is a common technique in computer science, engineering, and re lated elds. For example, good partitionings of unstructured graphs are very valuable for parallel computing. In this area, graph partitioning is mostly used to partition the underlying graph model of

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