Effectiveness of approximate inverse preconditioning by using the MR algorithm on an origin 2400

T. Tanaka, T. Nodera

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Numerical experiments are given for solving the discretized problems derived from the boundary value problems of partial differential equation (PDE) on the shared memory parallel machine Origin 2400 with 8 processors. In particular, several numerical results of two dimensional convection diffusion problems are reported. This paper presents a theoretical and a practical point of view that the preconditioner created by minimal residual (MR) algorithm is useful in improving the convergence of restarted GMRES(m) algorithm.

Original languageEnglish
Title of host publicationProceedings of the Third International Conference on Engineering Computational Technology
EditorsB.H.V. Topping, Z. Bittnar, B.H.V. Topping, Z. Bittnar
Pages115-116
Number of pages2
Publication statusPublished - 2002 Dec 1
EventProceedings of the Third International Conference on Engineering Computational Technology - Prague, Czech Republic
Duration: 2002 Sept 42002 Sept 6

Publication series

NameProceedings of the Third International Conference on Engineering Computational Technology

Other

OtherProceedings of the Third International Conference on Engineering Computational Technology
Country/TerritoryCzech Republic
CityPrague
Period02/9/402/9/6

Keywords

  • Approximate inverses
  • GMRES algorithm
  • Minimal residual algorithm
  • Preconditioning
  • Sparse linear systems
  • Threshold dropping strategies

ASJC Scopus subject areas

  • General Engineering

Fingerprint

Dive into the research topics of 'Effectiveness of approximate inverse preconditioning by using the MR algorithm on an origin 2400'. Together they form a unique fingerprint.

Cite this