基于NEMO的全球海洋环境预报模式在超算集群的计算性能优化-海洋预报

基于NEMO的全球海洋环境预报模式在超算集群的计算性能优化

单位：1. 国家海洋环境预报中心, 北京 100081;
2. 国家海洋局海洋灾害预报技术研究重点实验室, 北京 100081

分类号：P731.3;TP302

出版年·卷·期（页码）：2018·35·第三期（41-47）

摘要：

通过业务流程设计、数据获取、计算环境搭建，在国家超级计算广州中心"天河二号"超级计算机系统上成功建立了基于NEMO的全球海洋环境预报模式。详细测试了CPU、内存和网络等性能，实验结果表明：基于NEMO的全球海洋环境预报模式在"天河二号"上取得了优越的计算性能，合理地利用了计算资源，并具有良好的可拓展性，能够达到业务化运行的时效。

Based on the operational process design, data acquisition and computing environment, the global marine environment prediction model based on NEMO successfully established in the Tianhe-2 super-computing cluster. The performance of CPU, memory, network and other performance have been tested. The experimental results show that the global marine environment prediction model based on NEMO has achieved excellent computing performance and speed-up ratio in Tianhe, reasonable utilization of computing resources, as well as favorable flexibility and expansibility. The model has good capability to meet the limitation of operational marine forecasting.

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