Partitioning strategies for parallel domain decomposition in modelling transport phenomena
by Ali Ecder
Progress in Computational Fluid Dynamics, An International Journal (PCFD), Vol. 1, No. 4, 2001

Abstract: Domain decomposition is a natural form of parallel preconditioning for discretised systems of partial differential equations, and the Additive Schwarz Method (ASM) is a convenient limiting form of domain decomposition preconditioning, since it maximises concurrency for a specified number of subdomains. However, except in the case of homogeneous, isotropic, elliptically-dominated systems, few of the many algorithmic parameters required by ASM possess a theoretical basis for their selection. This paper is an attempt to fill this gap experimentally. The parameters include the magnitude of anisotropic convective and diffusive effects, the order of the upwinded discretisation, the decomposition topology, decomposition orientation (relative to the anisotropy), the subdomain overlap, the accuracy of the subdomain solutions making up the composite preconditioner. The effects of these parameters on the numerical convergence rate, execution time, and parallel efficiency on distributed-memory parallel computers and workstations clusters are reported.

Online publication date: Fri, 04-Jul-2003

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the Progress in Computational Fluid Dynamics, An International Journal (PCFD):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email