@inproceedings{cb738520f9a141aba96ff17bcb10d155,
title = "HPC environment on Azure cloud for hydrological parameter estimation",
abstract = "High performance of data-intensive computation is required to deal with the complexity of analysis and simulation for hydrological modeling jobs like parameter estimation. The vigorously developing cloud computing has emerged as a promising platform for HPC (High Performance Computing) of science community. This paper presents our work in developing and implementing HPC environment on Azure cloud for applications of hydrological parameter estimation. According to the requirements of hydrological modeling, we design and construct a HPC environment on Azure cloud. After deploying parameter estimation applications on the HPC environment, a case study on groundwater uncertainty analysis in Heihe River Basin using the HPC environment is presented. Our work demonstrates that Azure cloud can advantageously complement traditional high performance computing infrastructure and help hydrological researchers improve model computing efficiency by handy process steps.",
keywords = "Azure cloud, Cloud computing, HPC, Heihe River Basin, Hydrological modeling, Parameter estimation",
author = "Guangjun Zhang and Yingying Yao and Chunmiao Zheng",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 17th IEEE International Conference on Computational Science and Engineering, CSE 2014 - Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014 ; Conference date: 19-12-2014 Through 21-12-2014",
year = "2015",
month = jan,
day = "26",
doi = "10.1109/CSE.2014.83",
language = "英语",
series = "Proceedings - 17th IEEE International Conference on Computational Science and Engineering, CSE 2014, Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "299--304",
editor = "Xingang Liu and \{El Baz\}, Didier and Ching-Hsien Hsu and Kai Kang and Weifeng Chen",
booktitle = "Proceedings - 17th IEEE International Conference on Computational Science and Engineering, CSE 2014, Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014",
}