Massively Parallel Fluid Simulations on Amazon's HPC Cloud

Zaspel, Peter and Griebel, Michael. (2011) Massively Parallel Fluid Simulations on Amazon's HPC Cloud. In: 2011 First International Symposium on Network Cloud Computing and Applications. pp. 73-78.

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Official URL: https://edoc.unibas.ch/66766/

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In this paper, we report on the results of numerical experiments in the field of computational fluid dynamics (CFD) on Amazon's HPC cloud. To this end, we benchmarked our MPI-parallel fluid solver NaSt3DGPF on several HPC compute nodes of the cloud system. Our solver can use CPUs and GPUs to calculate the simulation results. With a pre-requested number of instances we observe for both, CPUs and GPUs, good scalability even for a larger number of parallel processes, provided that the GPUs run in the non-ECC mode. Furthermore, we see a high potential for medium sized parallel compute problems which are typically present in industrial engineering applications.
Faculties and Departments:05 Faculty of Science > Departement Mathematik und Informatik > Mathematik > Computational Mathematics (Harbrecht)
UniBasel Contributors:Zaspel, Peter
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
Note:Publication type according to Uni Basel Research Database: Conference paper
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Last Modified:27 Jul 2021 13:53
Deposited On:27 Jul 2021 13:53

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