NDLI: High Performance Computing in the cloud: Deployment, performance and cost efficiency

Content Provider	IEEE Xplore Digital Library
Author	Roloff, E. Diener, M. Carissimi, A. Navaux, P.O.A.
Copyright Year	2012
Description	Author affiliation: Informatics Institute Federal University of Rio Grande do Sul, Porto Alegre, Brazil (Roloff, E.; Diener, M.; Carissimi, A.; Navaux, P.O.A.)
Abstract	High-Performance Computing (HPC) in the cloud has reached the mainstream and is currently a hot topic in the research community and the industry. The attractiveness of cloud for HPC is the capability to run large applications on powerful, scalable hardware without needing to actually own or maintain this hardware. In this paper, we conduct a detailed comparison of HPC applications running on three cloud providers, Amazon EC2, Microsoft Azure and Rackspace. We analyze three important characteristics of HPC, deployment facilities, performance and cost efficiency and compare them to a cluster of machines. For the experiments, we used the well-known NAS parallel benchmarks as an example of general scientific HPC applications to examine the computational and communication performance. Our results show that HPC applications can run efficiently on the cloud. However, care must be taken when choosing the provider, as the differences between them are large. The best cloud provider depends on the type and behavior of the application, as well as the intended usage scenario. Furthermore, our results show that HPC in the cloud can have a higher performance and cost efficiency than a traditional cluster, up to 27 % and 41 %, respectively.
Starting Page	371
Ending Page	378
File Size	2902682
Page Count	8
File Format	PDF
ISBN	9781467345118
e-ISBN	9781467345101
e-ISBN	9781467345095
DOI	10.1109/CloudCom.2012.6427549
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-03
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Measurement Cloud computing Linux Conferences Benchmark testing Hardware
Content Type	Text
Resource Type	Article

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