Large Scale Simulations of the Euler Equations on GPU Clusters

Handle URI:
http://hdl.handle.net/10754/598697
Title:
Large Scale Simulations of the Euler Equations on GPU Clusters
Authors:
Liebmann, Manfred; Douglas, Craig C.; Haase, Gundolf; Horváth, Zoltán
Abstract:
The paper investigates the scalability of a parallel Euler solver, using the Vijayasundaram method, on a GPU cluster with 32 Nvidia Geforce GTX 295 boards. The aim of this research is to enable large scale fluid dynamics simulations with up to one billion elements. We investigate communication protocols for the GPU cluster to compensate for the slow Gigabit Ethernet network between the GPU compute nodes and to maintain overall efficiency. A diesel engine intake-port and a nozzle, meshed in different resolutions, give good real world examples for the scalability tests on the GPU cluster. © 2010 IEEE.
Citation:
Liebmann M, Douglas CC, Haase G, Horváth Z (2010) Large Scale Simulations of the Euler Equations on GPU Clusters. 2010 Ninth International Symposium on Distributed Computing and Applications to Business, Engineering and Science. Available: http://dx.doi.org/10.1109/DCABES.2010.17.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2010 Ninth International Symposium on Distributed Computing and Applications to Business, Engineering and Science
KAUST Grant Number:
KUS-C1-016-04
Issue Date:
Aug-2010
DOI:
10.1109/DCABES.2010.17
Type:
Conference Paper
Sponsors:
This research was supported in part by NSF grants 1018072and 1018079 and Award No. KUS-C1-016-04, made by KingAbdullah University of Science and Technology (KAUST).This research was also supported by the Hungarian NationalDevelopment Agency and the European Union within theframe of the project TAMOP 4.2.2-08/1-2008-0021 entitled”Simulation and Optimization” and the Austrian Science FundFWF project SFB032.
Appears in Collections:
Publications Acknowledging KAUST Support

Full metadata record

DC FieldValue Language
dc.contributor.authorLiebmann, Manfreden
dc.contributor.authorDouglas, Craig C.en
dc.contributor.authorHaase, Gundolfen
dc.contributor.authorHorváth, Zoltánen
dc.date.accessioned2016-02-25T13:34:38Zen
dc.date.available2016-02-25T13:34:38Zen
dc.date.issued2010-08en
dc.identifier.citationLiebmann M, Douglas CC, Haase G, Horváth Z (2010) Large Scale Simulations of the Euler Equations on GPU Clusters. 2010 Ninth International Symposium on Distributed Computing and Applications to Business, Engineering and Science. Available: http://dx.doi.org/10.1109/DCABES.2010.17.en
dc.identifier.doi10.1109/DCABES.2010.17en
dc.identifier.urihttp://hdl.handle.net/10754/598697en
dc.description.abstractThe paper investigates the scalability of a parallel Euler solver, using the Vijayasundaram method, on a GPU cluster with 32 Nvidia Geforce GTX 295 boards. The aim of this research is to enable large scale fluid dynamics simulations with up to one billion elements. We investigate communication protocols for the GPU cluster to compensate for the slow Gigabit Ethernet network between the GPU compute nodes and to maintain overall efficiency. A diesel engine intake-port and a nozzle, meshed in different resolutions, give good real world examples for the scalability tests on the GPU cluster. © 2010 IEEE.en
dc.description.sponsorshipThis research was supported in part by NSF grants 1018072and 1018079 and Award No. KUS-C1-016-04, made by KingAbdullah University of Science and Technology (KAUST).This research was also supported by the Hungarian NationalDevelopment Agency and the European Union within theframe of the project TAMOP 4.2.2-08/1-2008-0021 entitled”Simulation and Optimization” and the Austrian Science FundFWF project SFB032.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.titleLarge Scale Simulations of the Euler Equations on GPU Clustersen
dc.typeConference Paperen
dc.identifier.journal2010 Ninth International Symposium on Distributed Computing and Applications to Business, Engineering and Scienceen
dc.contributor.institutionKarl-Franzens-Universitat Graz, Graz, Austriaen
dc.contributor.institutionUniversity of Wyoming, Laramie, United Statesen
dc.contributor.institutionSzechenyi Istvan Egyetem, Gyor, Hungaryen
kaust.grant.numberKUS-C1-016-04en
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