A Distributed Normalized Explicit Preconditioned Conjugate Gradient Method

A new parallel normalized explicit preconditioned conjugate gradient method in conjunction with normalized approximate inverse matrix techniques is presented for solving efficiently sparse linear systems on multi-computer systems. Application of the proposed method on a three dimensional boundary va...

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Veröffentlicht in:	Parallel algorithms and applications Jg. 19; H. 2-3; S. 163 - 174
Hauptverfasser:	Gravvanis, G.A., Giannoutakis, K.M., Missirlis †, N.M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Taylor & Francis GroupAbingdon, UK 01.06.2004
Schlagworte:	65NO6 D.1.3 F.2.1 Finite difference G.1.0 G.1.3 G.4 Normalized approximate factorization procedures Normalized approximate inverse matrix techniques Parallel computations Parallel preconditioned conjugate gradient method Preconditioning
ISSN:	1063-7192
Online-Zugang:	Volltext
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Beschreibung
Zusammenfassung:	A new parallel normalized explicit preconditioned conjugate gradient method in conjunction with normalized approximate inverse matrix techniques is presented for solving efficiently sparse linear systems on multi-computer systems. Application of the proposed method on a three dimensional boundary value problem is discussed and numerical results are given. The implementation and performance on a distributed, memory MIMD machine, using message passing interface (MPI) is also investigated. E-mail: nmis@di.uoa.gr
ISSN:	1063-7192
DOI:	10.1080/10637190412331279975