Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Heterogeneous CPU+GPU approaches for mesh refinement over Lattice-Boltzmann simulations
KTH, School of Computer Science and Communication (CSC).ORCID iD: 0000-0002-1695-8809
2016 (English)In: Concurrency and Computation, ISSN 1532-0626, E-ISSN 1532-0634Article in journal (Refereed) Published
Abstract [en]

The use of mesh refinement in CFD is an efficient and widely used methodology to minimize the computational cost by solving those regions of high geometrical complexity with a finer grid. In this work, the author focuses on studying two methods, one based on Multi-Domain and one based on Irregular meshing, to deal with mesh refinement over LBM simulations. The numerical formulation is presented in detail. It is proposed two approaches, homogeneous GPU and heterogeneous CPU+GPU, on each of the refinement methods. Obviously, the use of the two architectures, CPU and GPU, to compute the same problem involves more important challenges with respect to the homogeneous counterpart. These challenges and the strategies to deal with them are described in detail into the present work. We pay a particular attention to the differences among both methodologies/implementations in terms of programmability, memory management, and performance. The size of the refined sub-domain has important consequences over both methodologies; however, the influence on Multi-Domain approach is much higher. For instance, when dealing with a big refined sub-domain, the Multi-Domain approach achieves an important fall in performance with respect to other cases, where the size of the refined sub-domain is smaller. Otherwise, using the Irregular approach, there is no such a dramatic fall in performance when increasing the size of the refined sub-domain. © 2016 John Wiley & Sons, Ltd.

Place, publisher, year, edition, pages
John Wiley & Sons, 2016.
Keywords [en]
Computational fluid dynamics, Heterogeneous CPU+GPU platforms, Lattice-Boltzmann method, Mesh refinement, Mesh generation, Two phase flow, Unsteady flow, Computational costs, Geometrical complexity, Lattice Boltzmann method, Lattice Boltzmann simulations, Numerical formulation, Refinement methods
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-195133DOI: 10.1002/cpe.3919ISI: 000398712500013Scopus ID: 2-s2.0-84983499587OAI: oai:DiVA.org:kth-195133DiVA, id: diva2:1044839
Note

Correspondence Address: Valero-Lara, P.email: pedro.valero.lara@gmail.com. QC 20161107

Available from: 2016-11-07 Created: 2016-11-02 Last updated: 2018-01-13Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Jansson, J.
By organisation
School of Computer Science and Communication (CSC)
In the same journal
Concurrency and Computation
Computer and Information Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 35 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf