TY - GEN
T1 - Large Scale Simulations of the Euler Equations on GPU Clusters
AU - Liebmann, Manfred
AU - Douglas, Craig C.
AU - Haase, Gundolf
AU - Horváth, Zoltán
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): KUS-C1-016-04
Acknowledgements: 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.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.
PY - 2010/8
Y1 - 2010/8
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/598697
UR - http://ieeexplore.ieee.org/document/5573311/
UR - http://www.scopus.com/inward/record.url?scp=78049333040&partnerID=8YFLogxK
U2 - 10.1109/DCABES.2010.17
DO - 10.1109/DCABES.2010.17
M3 - Conference contribution
SN - 9781424475391
SP - 50
EP - 54
BT - 2010 Ninth International Symposium on Distributed Computing and Applications to Business, Engineering and Science
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -