Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
https://doi.org/10.5194/gmd-2017-270
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Model evaluation paper
15 Dec 2017
Review status
This discussion paper is a preprint. A revision of the manuscript is under review for the journal Geoscientific Model Development (GMD).
Performance evaluation of ROMS v3.6 on a commercial cloud system
Kwangwoog Jung1, Yang-Ki Cho2, and Yong-Jin Tak2 1School of Earth and Environmental Science, Seoul National University, Seoul, Korea
2School of Earth and Environmental Science/Research Institute of Oceanography, Seoul National University, Seoul, Korea
Abstract. Many commercial cloud computing companies provide technologies such as high-performance instances, enhanced networking and remote direct memory access to aid in High Performance Computing (HPC). These new features enable us to explore the feasibility of ocean modelling in commercial cloud computing. Many scientists and engineers expect that cloud computing will become mainstream in the near future. Thus, evaluation of the exact performance and features of commercial cloud services for numerical modelling is appropriate. In this study, the performance of the Regional Ocean Modelling System (ROMS) and the High Performance Linpack (HPL) benchmarking software package was evaluated on Amazon Web Services (AWS) for various configurations. Through comparison of actual performance data and configuration settings obtained from AWS and laboratory HPC, we conclude that cloud computing is a powerful Information Technology (IT) infrastructure for running and operating numerical ocean modelling with minimal effort. Thus, cloud computing can be a useful tool for ocean scientists that have no available computing resource.
Citation: Jung, K., Cho, Y.-K., and Tak, Y.-J.: Performance evaluation of ROMS v3.6 on a commercial cloud system, Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2017-270, in review, 2017.
Kwangwoog Jung et al.
Kwangwoog Jung et al.
Kwangwoog Jung et al.

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Short summary
The performance of the ROMS was evaluated on Amazon Web Services for various configurations. Our study shows how numerical ocean models can be constructed and parallelised in a commercial cloud computing environment and outlines how performance similar to local high-performance computing can be achieved in commercial cloud computing environments by optimising the modelling environment. Cloud computing can be a useful tool for those who have no available computing resource.
The performance of the ROMS was evaluated on Amazon Web Services for various configurations. Our...
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