Multidimensional spectral load balancing

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395800, G06F 1516, G06F 1750

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055879225

ABSTRACT:
A method of and apparatus for graph partitioning involving the use of a plurality of eigenvectors of the Laplacian matrix of the graph of the problem for which load balancing is desired. The invention is particularly useful for optimizing parallel computer processing of a problem and for minimizing total pathway lengths of integrated circuits in the design stage.

REFERENCES:
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Mohar, Bojan, "Laplace Eigenvalues of Graphs--A Survey," Discrete Mathematics, vol. 109, pp. 171-183 (1992).
Kernigham, B. W., et al, "An Efficient Heuristic Procedure for Partitioning Graphs," Bell System Technical Journal, vol. 49, pp. 291-307 (1970).
Hammond, Steven W., "Mapping Unstructured Grid Computations to Massively Parallel Computers," Research Institute for Advanced Computer Science (NASA Ames Research Center), Technical Report 92.14 (Jun. 1992).
Mohar, Bojan, "The LaPlacian Spectrum of Graphs," Intl. Conference on Theorp, Application of Graphs, Kalamazoo, MI (1988).
Simon, Horst D., "Partitioning of Unstructured Problems for Parallel Processing," NASA Ames Research Center, Report PNR-91-008 (Feb. 1991).
Hendrickson, Bruce, et al, "Multidimensional Spectral Load Balancing," Sandia National Laboratories Report, SAND93-0074-UC-405 (Jan. 1993).
Hendrickson, Bruce, et al, "An Improved Spectral Graph Partitioning Algorithm for Mapping Parallel Computations," Sandia National Laboratories Report, SAND92-1460-UC-405 (Sep. 1992).

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