Parallel speed-up of preconditioned fractional step navier-stokes solvers

Vivien Djanali, Steven Armfield, Michael Kirkpatrick, Stuart Norris

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Parallel performance of a fractional step Navier-Stokes solver is investigated. Parallelisation is performed using Message Passing Interface, with domain partitioning. Block preconditioning is applied to the solution of the pressure Poisson equation, which is often the bottleneck in the computation of the fractional step method. Preconditioners tested are classes of incomplete matrix decompositions and sparse approximate inverses. The computational domain is decomposed into eight parts of about equal size in terms of the number of cells, and solved on eight parallel processors. Several aspects of the parallelisation, such as domain splitting directions, speed-up and scalability of the preconditioners, are discussed.

Original languageEnglish
Title of host publicationAdvances in Applied Mechanics and Materials
Pages215-220
Number of pages6
DOIs
Publication statusPublished - 2014
EventInternational Conference on Mechanical Engineering, ICOME 2013 - Mataram, Lombok, Indonesia
Duration: 19 Sept 201321 Sept 2013

Publication series

NameApplied Mechanics and Materials
Volume493
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

ConferenceInternational Conference on Mechanical Engineering, ICOME 2013
Country/TerritoryIndonesia
CityMataram, Lombok
Period19/09/1321/09/13

Keywords

  • Fractional step
  • Parallel
  • Preconditioning
  • Sparse approximate inverse

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