DocumentCode
2129407
Title
A unified measurement model for meteorological computing resources
Author
Wang, Bin ; Wei, Min ; Li, Yongsheng ; Yu, Huashan
Author_Institution
National Meteorological Information Center, China Meteorological Administration, Beijing, China
fYear
2010
fDate
4-6 Dec. 2010
Firstpage
941
Lastpage
944
Abstract
High performance computer (HPC) capability building has made raped progress in national headquarter and regional centers of China Meteorological Administration. To resolve fine-grained resource allocation, distributed resource sharing and scheduling, and system introduction evaluation, a unified measurement model for meteorological computing resources with wide applicability and practicability must be established. Taking into consideration related research and existing methods, a general, hybrid measurement model is proposed, integrating both the conventional industry benchmarks and meteorological domain-specific applications. As the core of the model, GCUP (General Computing Unit Productivity) is introduced as a common form to implement quantitative representation of heterogeneous computing resources. An implementation of the model has been made, including 5 object parameters. Performance benchmark and meteorological numerical model tests are run on 4 representative HPC systems distributed in national headquarter and regional centers of China Meteorological Administration. Based on GCUP data determined, an initial nationwide HPC resource usage statistical analysis is made.
Keywords
Benchmark testing; Computational modeling; Computers; Numerical models; Predictive models; Resource management; China Meteorological Administration; GCUP; HPC systems; meteorological numerical forecast models; performance benchmark; unified measurement model;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location
Hangzhou, China
Print_ISBN
978-1-4244-7616-9
Type
conf
DOI
10.1109/ICISE.2010.5690463
Filename
5690463
Link To Document