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dc.contributor.author
Storti, Mario Alberto
dc.contributor.author
Paz, Rodrigo Rafael
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Dalcin, Lisandro Daniel
dc.contributor.author
Costarelli, Santiago Daniel
dc.contributor.author
Idelsohn, Sergio Rodolfo
dc.date.available
2016-12-06T13:56:15Z
dc.date.issued
2013-03
dc.identifier.citation
Storti, Mario Alberto; Paz, Rodrigo Rafael; Dalcin, Lisandro Daniel; Costarelli, Santiago Daniel; Idelsohn, Sergio Rodolfo; A FFT preconditioning technique for the solution of incompressible flow on GPUs; Pergamon-elsevier Science Ltd; Computers & Fluids; 74; 3-2013; 44-57
dc.identifier.issn
0045-7930
dc.identifier.uri
http://hdl.handle.net/11336/8879
dc.description.abstract
Graphic processing units have received much attention in last years. Compute-intensive algorithms operating on multidimensional arrays that have nearest neighbor dependency and/or exploit data locality can achieve massive speedups. Simulation of problems modeled by time-dependent Partial Differential Equations by using explicit time-stepping methods on structured grids is an instance of such GPU-friendly algorithms. Solvers for transient incompressible fluid flow cannot be developed in a fully explicit manner due to the incompressibility constraint. Segregated algorithms like the fractional step method require the solution of a Poisson problem for the pressure field at each time level. This stage is usually the most time-consuming one. This work discuss a solver for the pressure problem in applications using immersed boundary techniques in order to account for moving solid bodies. This solver is based on standard Conjugate Gradients iterations and depends on the availability of a fast Poisson solver on the whole domain to define a preconditioner. We provide a theoretical and numerical evidence on the advantages of our approach versus classical techniques based on fixed point iterations such as the Iterated Orthogonal Projection method.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Pergamon-elsevier Science Ltd
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.subject
Graphics Processing Units
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Incompressible Navier–Stokes
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Poisson Equation
dc.subject.classification
Ciencias de la Computación
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Ciencias de la Computación e Información
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CIENCIAS NATURALES Y EXACTAS
dc.title
A FFT preconditioning technique for the solution of incompressible flow on GPUs
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2016-12-02T15:58:37Z
dc.journal.volume
74
dc.journal.pagination
44-57
dc.journal.pais
Estados Unidos
dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Storti, Mario Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico. Centro de Investigación de Métodos Computacionales; Argentina
dc.description.fil
Fil: Paz, Rodrigo Rafael. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico. Centro de Investigación de Métodos Computacionales; Argentina
dc.description.fil
Fil: Dalcin, Lisandro Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico. Centro de Investigación de Métodos Computacionales; Argentina
dc.description.fil
Fil: Costarelli, Santiago Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico. Centro de Investigación de Métodos Computacionales; Argentina
dc.description.fil
Fil: Idelsohn, Sergio Rodolfo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico. Centro de Investigación de Métodos Computacionales; Argentina. Institució Catalana de Recerca i Estudis Avancats; España. Universidad Politecnica de Catalunya; España
dc.journal.title
Computers & Fluids
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.compfluid.2012.12.019
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S004579301300008X