Journal ArticleDOI
The Feasibility of Amazon's Cloud Computing Platform for Parallel, GPU-Accelerated, Multiphase-Flow Simulations
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TLDR
The feasibility of running MPI-parallel, GPU-accelerated, multiphase flow simulations on Amazon's Elastic Compute Cloud (EC2) service is evaluated as an alternative computational resource and Amazon's EC2 service is studied from an economic perspective and compared with a conventional local cluster.Abstract:
The feasibility of running MPI-parallel, GPU-accelerated, multiphase flow simulations on Amazon's Elastic Compute Cloud (EC2) service is evaluated as an alternative computational resource. A cloud cluster on Amazon EC2 is compared to a conventional local high-performance computing cluster in terms of performance and cost. The steps necessary to set up a cloud cluster and acquire the appropriate hardware and software stacks are outlined. The incompressible multiphase flow solver is benchmarked on both cloud and local clusters by performing strong and weak scaling analyses. Amazon's EC2 service is competitive with the local cluster in a certain range of simulations, but there are some performance limitations, particularly in its GPU card performance and cluster network connection, which negatively impact the parallel simulations presented herein. Finally, Amazon's EC2 service is studied from an economic perspective and compared with a conventional local cluster.read more
Citations
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Journal ArticleDOI
Enabling high‐performance cloud computing for Earth science modeling on over a thousand cores: application to the GEOS‐Chem atmospheric chemistry model
Jiawei Zhuang,Daniel J. Jacob,Haipeng Lin,Elizabeth W. Lundgren,Robert M. Yantosca,Judit Flo Gaya,Melissa P. Sulprizio,Sebastian D. Eastham +7 more
TL;DR: It is shown that recent advances in the network performance on the Amazon Web Services cloud enable efficient model simulations with over a thousand cores, with performance and cost comparable to the National Aeronautics and Space Administration Pleiades supercomputing cluster.
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Performance evaluation of Amazon EC2 for NASA HPC applications
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