基于云计算的电磁问题并行计算方法

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Abstract High performance and easy calculation are required for the performance analysis and optimization of electrical equipment. For this reason, a kind of elastic cluster is built using cloud computing and parallel computing, which the typical electromagnetic problems can be achieved. The virtualization technology is used to integrate the computer resources into virtual resource pool. Thus, the cloud platform for elastic computing and a kind of elastic cluster for parallel computing can be built and implemented. Computing nodes are connected by Gigabit router, and SSH communication protocol is used between nodes. Induction motor and transformer are chosen as the calculation cases. The calculation programs of static magnetic field are written by Fortran. Cloud computing parallel architecture of OpenMpi and MapReduce are analyzed. The parallel calculation including millions of meshing scales are realized based on OpenMpi. The correctness of the calculation is verified by the result comparisons from a commercial software. It is shown that larger scale of parallel computing can be realized by using OpenMpi in the elastic cluster of cloud computing. Compared with the calculation schemes of parallel supercomputers, the built elastic cluster using cloud computing in this paper is more convenient and configurable, which provides a more accessible and easy-to-use solution for high performance computing. The proposed method also provides the theoretical and practical basis for the integrated calculation theory and method in complex real model.

Key words： Cloud computing parallel computing numerical calculation of electromagnetic fields finite element method

Received: 01 March 2016 Published: 02 December 2016

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TM153

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	Articles by authors
	Jin Liang
	Qiu Yuntao
	Yang Qingxin
	Niu Pingjuan
	Zhu Lihua

Cite this article:

Jin Liang,Qiu Yuntao,Yang Qingxin等. A Parallel Computing Method to Electromagnetic Problems Based on Cloud Computing[J]. Transactions of China Electrotechnical Society, 2016, 31(22): 5-11.

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https://dgjsxb.ces-transaction.com/EN/ OR https://dgjsxb.ces-transaction.com/EN/Y2016/V31/I22/5

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