Proceedings Article10.1109/CLOUDCOM.2010.69
Performance Analysis of High Performance Computing Applications on the Amazon Web Services Cloud
Keith Jackson,Lavanya Ramakrishnan,Krishna Muriki,Shane Canon,Shreyas Cholia,John Shalf,Harvey J. Wasserman,Nicholas J. Wright +7 more
- 30 Nov 2010
- pp 159-168
TL;DR: This work represents the most comprehensive evaluation to date comparing conventional HPC platforms to Amazon EC2, using real applications representative of the workload at a typical supercomputing center, and results indicate that EC2 is six times slower than a typical mid-range Linux cluster, and twenty times faster than a modern HPC system.
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Abstract: Cloud computing has seen tremendous growth, particularly for commercial web applications. The on-demand, pay-as-you-go model creates a flexible and cost-effective means to access compute resources. For these reasons, the scientific computing community has shown increasing interest in exploring cloud computing. However, the underlying implementation and performance of clouds are very different from those at traditional supercomputing centers. It is therefore critical to evaluate the performance of HPC applications in today’s cloud environments to understand the tradeoffs inherent in migrating to the cloud. This work represents the most comprehensive evaluation to date comparing conventional HPC platforms to Amazon EC2, using real applications representative of the workload at a typical supercomputing center. Overall results indicate that EC2 is six times slower than a typical mid-range Linux cluster, and twenty times slower than a modern HPC system. The interconnect on the EC2 cloud platform severely limits performance and causes significant variability.
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References
Performance Analysis of Cloud Computing Services for Many-Tasks Scientific Computing
TL;DR: The results indicate that the current clouds need an order of magnitude in performance improvement to be useful to the scientific community, and show which improvements should be considered first to address this discrepancy between offer and demand.
The Impact of Virtualization on Network Performance of Amazon EC2 Data Center
Guohui Wang,T. S. Eugene Ng +1 more
- 14 Mar 2010
TL;DR: The results show that even though the data center network is lightly utilized, virtualization can still cause significant throughput instability and abnormal delay variations.
Amazon S3 for science grids: a viable solution?
Mayur Palankar,Adriana Iamnitchi,Matei Ripeanu,Simson L. Garfinkel +3 more
- 24 Jun 2008
TL;DR: In this article, the Simple Storage Service (S3), a commodity-priced storage utility, is evaluated from a cost, availability, and performance perspective for large-scale science projects.
Gyrokinetic particle simulation model
TL;DR: In this paper, a new type of particle simulation model based on the gyrophase-averaged Vlasov and Poisson equations is presented, in which particle gyrations are removed from the equations of motion while the finite Larmor radius effects are still preserved.
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