A Cartesian parallel nested dissectional algorithm:

Abstract: "This paper is concerned with the distributed parallel computation of an ordering for a symmetric positive definite sparse matrix. The purpose of the ordering is to limit fill and enhance concurrency in the subsequent computation of the Cholesky factorization of the matrix. We use a g...

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Bibliographische Detailangaben
Beteiligte Personen: Heath, Michael T. (VerfasserIn), Raghavan, Padma (VerfasserIn)
Format: Buch
Sprache:Englisch
Veröffentlicht: Urbana, Ill. University of Illinois at Urbana-Champaign, Dept. of Computer Science 1992
Schlagwörter:
Zusammenfassung:Abstract: "This paper is concerned with the distributed parallel computation of an ordering for a symmetric positive definite sparse matrix. The purpose of the ordering is to limit fill and enhance concurrency in the subsequent computation of the Cholesky factorization of the matrix. We use a geometric approach to nested dissection based on a given Cartesian embedding of the graph of the matrix in Euclidean space. The resulting algorithm can be implemented efficiently on massively parallel, distributed memory computers
Umfang:23 Bl. ill. 28 cm