摘要 针对智能制造所需的大规模计算问题,对比分析不同云计算技术的发展模式,选取适合大规模计算密集型的云架构,部署了9节点弹性计算平台。选取电磁领域的国际TEAM Problem 7基准问题为案例,使用基于消息传递机制的开源并行编程模型OpenMpi编写典型涡流场的并行计算程序,实现了计算案例数百万自由度的并行计算,得到了不同节点下不同计算规模的计算时间与速率分布图。研究结果表明,典型电工装备的大规模有限元仿真计算可在云计算平台部署的弹性计算集群中实现并行化。对比于传统高性能计算机的并行计算方法,本文的云计算弹性计算集群具有投入成本低、动态可分配、按需索取的优点,为传统纯粹制造业转型升级智能制造产业发展提供了一种灵活、便捷的新型高性能计算方案。
Abstract：Different development models of cloud computing were comparatively analyzed for intelligent manufacturing in this paper, focusing on large-scale computing problems. A kind of compute-intensive cloud architecture has been chosen, and then an elastic computing platform containing nine computing nodes has been set up. Taken the international benchmark problem of TEAM 7 in the electromagnetic field as a case, the parallel computing program of the typical eddy current field was written by the open source parallel programming model OpenMpi, based on the message passing interface. The parallel computing cases, with hundreds of large-scale computing nodes, have been carried out. Accordingly, the distribution graphs of computational time and rate under different computational scales and different nodes were painted. It is proved that the parallelization of the large-scale finite element simulation of typical electrical equipment can be achieved in the elastic computing cluster, which is deployed in the cloud-computing platform. Compared with the traditional high-performance parallel computing method, the elastic computing cluster in cloud computing has a series of merits, such as low investing cost, dynamic distribution, obtain on demand. Thus a flexible and convenient new computing scheme is provided for upgrading from pure traditional manufacturing industry to intelligent manufacturing industry impelled by innovation.
金亮, 汪东梅, 邱运涛, 杨庆新, 牛萍娟. 基于弹性云计算集群的国际TEAM Problem 7基准问题计算方法[J]. 电工技术学报, 2017, 32(8): 144-150.
Jin Liang, Wang Dongmei, Qiu Yuntao, Yang Qingxin, Niu Pingjuan. A Calculation Method for the International Benchmark Problem of TEAM 7 Based on Elastic Cluster in Cloud Computing. Transactions of China Electrotechnical Society, 2017, 32(8): 144-150.
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