Title :
Massively Parallel Fluid Simulations on Amazon´s HPC Cloud
Author :
Zaspel, Peter ; Griebel, Michael
Author_Institution :
Inst. for Numerical Simulation, Univ. of Bonn, Bonn, Germany
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.
Keywords :
application program interfaces; cloud computing; computational fluid dynamics; flow simulation; graphics processing units; message passing; parallel processing; Amazon HPC cloud; CPU; GPU; MPI-parallel fluid solver; NaSt3DGPF; computational fluid dynamics; medium sized parallel compute problems; nonECC mode; parallel fluid simulations; parallel processes; Atmospheric modeling; Bandwidth; Benchmark testing; Cloud computing; Computational modeling; Graphics processing unit; CPU; Cloud Computing; Computational Fluid Dynamics; High Performance Computing; Navier-Stokes; Two-Phase Flows; multi-GPU;
Conference_Titel :
Network Cloud Computing and Applications (NCCA), 2011 First International Symposium on
Conference_Location :
Toulouse
Print_ISBN :
978-1-4577-1667-6
DOI :
10.1109/NCCA.2011.19