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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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Abstract

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
Publisher:IEEE
ISBN:978-1-4577-1667-6
Note:Publication type according to Uni Basel Research Database: Conference paper
Identification Number:
Last Modified:27 Jul 2021 13:53
Deposited On:27 Jul 2021 13:53

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