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ABSTRACT
The most widely used ordering scheme to reduce fills and operations in sparse matrix computation is the minimum-degree algorithm. The notion of multiple elimination is introduced here as a modification to the conventional scheme. The motivation is discussed using the k-by-k grid model problem. Experimental results indicate that the modified version retains the fill-reducing property of (and is often better than) the original ordering algorithm and yet requires less computer time. The reduction in ordering time is problem dependent, and for some problems the modified algorithm can run a few times faster than existing implementations of the minimum-degree algorithm. The use of external degree in the algorithm is also introduced.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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CITED BY 43
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S. Venugopal , V. K. Naik , J. Saltz, Performance of distributed sparse Cholesky factorization with pre-scheduling, Proceedings of the 1992 ACM/IEEE conference on Supercomputing, p.52-61, November 16-20, 1992, Minneapolis, Minnesota, United States
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A. Pothen , H. D. Simon , L. Wang , S. T. Barnard, Towards a fast implementation of spectral nested dissection, Proceedings of the 1992 ACM/IEEE conference on Supercomputing, p.42-51, November 16-20, 1992, Minneapolis, Minnesota, United States
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Mario Botsch , Mark Pauly , Christian Rossl , Stephan Bischoff , Leif Kobbelt, Geometric modeling based on triangle meshes, ACM SIGGRAPH 2006 Courses, July 30-August 03, 2006, Boston, Massachusetts
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Mario Botsch , Mark Pauly , Leif Kobbelt , Pierre Alliez , Bruno Lévy , Stephan Bischoff , Christian Rössl, Geometric modeling based on polygonal meshes Video files associated with this course are available from the citation page, ACM SIGGRAPH 2007 courses, August 05-09, 2007, San Diego, California
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