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 GEP  Vol.5 No.7 , July 2017
Evaluation of the Application Benefit of Meteorological High Performance Computing Resources
Abstract: The meteorological high-performance computing resource is the support platform for the weather forecast and climate prediction numerical model operation. The scientific and objective method to evaluate the application of meteorological high-performance computing resources can not only provide reference for the optimization of active resources, but also provide a quantitative basis for future resource construction and planning. In this paper, the concept of the utility value B and index compliance rate E of the meteorological high performance computing system are presented. The evaluation process, evaluation index and calculation method of the high performance computing resource application benefits are introduced.
Cite this paper: Wei, M. and Wang, B. (2017) Evaluation of the Application Benefit of Meteorological High Performance Computing Resources. Journal of Geoscience and Environment Protection, 5, 153-160. doi: 10.4236/gep.2017.57012.
References

[1]   Wei, M., Sun, J. and Shen, Y. (2013) Performance Evaluation Method of High Performance Computing System and Its Application. Journal of Applied Meteorological Science, 24, 753-760.

[2]   Wei, M., Luo, Y. and Wang, L.N. (2005) A Study on the Optimum Algorithm of Global Ocean-Atmosphere coupled Models. Journal of Applied Meteorological Science, 16, 408-412.

[3]   Chen, S.R., Hu, K. and Zhang, W. (2008) Performance Monitoring and Analysis of Multi-Cluster Parallel Operation. Computer Engineering, 34, 75-77.

[4]   Chen, D.H. and Shen, X.S. (2006) Research Progress of the New Generation Numerical Prediction System GRAPES. Journal of Applied Meteorological Science, 17, 773-777.

[5]   Wu, X.J., Jin, Z.Y. and Huang, L.P. (2005) Framework and Implementation of GRAPES Model Software. Journal of Applied Meteorological Science, 16, 539-546.

[6]   Wu, T.W., Yu, R.C. and Zhang, F. (2010) The Beijing Climate Center Atmospheric General Circulation Model: Description and Its Performance for the Present-Day Climate. Climate Dynamics, 34, 123-147.
https://doi.org/10.1007/s00382-008-0487-2

[7]   Wu, T.W., Li, W.P. and Ji, J.J. (2013) Global Carbon Budgets Simulated by the Beijing Climate Center Climate System Model for the Last Century. Journal of Geophysical Research, 118, 1-22.

[8]   Zhang, L.C. (2011) Meteorological Information System. Vol. 252, China Meteorological Press, Beijing, 72-84.

[9]   Wang, B. (2014) Application of High Performance Computing Technology in Meteorological Department. Computer Engineering and Design, 35, 1476-1479.

[10]   Wang, B., Zong X. and Wei, M. (2008) A Fine-Grained, Real Time HPC Resource Management System. Journal of Applied Meteorological Science, 19, 507-511.

[11]   Wang, B., Xiao, W.M. and Li, Y.S. (2011) Establishment and Application of Computing Resource Management System in South China Regional Center. Meteorological Monthly, 37, 764-770.

[12]   Wei, M. (2015) Study on Application Environment Adaptability of Meteorological High Performance Computing. Meteorological Monthly, 92-97.

[13]   Wei, M., Xu, J.X. and Wang, Z.Z. (2014) Application of Parallel I/O Technology in Climate Numerical Model. Computer Technology and Development, 24, 11-15.

[14]   Xiao, W.M., Li, Y.S. and Chen, X.Y. (2008) Discussion on Key Problems in Performance Evaluation of High Performance Computing System. Computer Systems & Applications, 115-118.

[15]   Zhang, T.R., Song, S.Y. and Tian, C.Y. (2011) Study and Method of Evaluating Benefit of Industry Meteorological Service. Journal of the Meteorological Sciences, 31, 194-199.

[16]   Yao, X.P., Lv, M.H. and Fan, X.Q. (2010) Present Situation and Prospect of Meteorological Service Benefit Evaluation in China. Meteorological Monthly, 36, 62-68.

 
 
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