[1]孙婧,沈瑜. 气象应用的高性能计算机性能需求推算方法[J].计算机技术与发展,2015,25(06):206-210.
 SUN Jing,SHEN Yu. Calculation Method of High Performance Computing Resource Requirements for Meteorological Applications[J].,2015,25(06):206-210.
点击复制

 气象应用的高性能计算机性能需求推算方法()
分享到:

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
25
期数:
2015年06期
页码:
206-210
栏目:
应用开发研究
出版日期:
2015-06-10

文章信息/Info

Title:
 Calculation Method of High Performance Computing Resource Requirements for Meteorological Applications
文章编号:
1673-629X(2015)06-0206-05
作者:
 孙婧沈瑜
 国家气象信息中心 高性能计算室
Author(s):
 SUN JingSHEN Yu
关键词:
 数值预报模式高性能计算机系统性能估算GRAPES模式BCC CSM模式
Keywords:
 numerical weather prediction modehigh performance computing systemperformance estimationGRAPESBCC CSM
分类号:
TP399
文献标志码:
A
摘要:
 气象应用是高性能计算的重要领域之一,随着数值预报模式的高速发展,中国气象局目前的高性能计算机系统已无法满足模式业务发展的需求,中国气象局依托“气候变化应对决策支撑工程”重点工程项目引进新一代高性能计算机系统用以支撑“十二五”期间的天气气候数值预报模式的发展,对新引进系统的建设规模估算成为必须解决的首要问题。文中主要基于数值预报模式的发展需求,根据数值预报模式各特征参数与高性能计算资源需求之间的变化关系,提出采用推算法对高性能计算机性能需求进行推算。根据该推算方法估算未来五年内中国气象局数值预报业务发展对高性能计算资源的需求量,解决了如何将应用需求转换成高性能计算机的能力需求。
Abstract:
 Meteorological application is one of the important areas of high performance computing,with the rapid development of NWP mode,the current high-performance computing system in CMA has been unable to meet the needs. CMA is introducing new generation HPC system to support the development of NWP models in the 12th five-Year period. How to estimate the scale of the new HPC system becomes the most important issue. It is mainly based on the development plan of the NWP models,study the relationship between charac-teristic parameters of NWP models and demands for HPC resources,and then suggest the calculation method of HPC performance require-ments for meteorological applications. According to the methods,CMA has estimated the demand of HPC systems resources of the next five years and solve the key issues of the procurement of the new HPC system.

相似文献/References:

[1]张志宏,吴庆波,邵立松,等.基于飞腾平台TOE协议栈的设计与实现[J].计算机技术与发展,2014,24(07):1.
 ZHANG Zhi-hong,WU Qing-bo,SHAO Li-song,et al. Design and Implementation of TCP/IP Offload Engine Protocol Stack Based on FT Platform[J].,2014,24(06):1.
[2]梁文快,李毅. 改进的基因表达算法对航班优化排序问题研究[J].计算机技术与发展,2014,24(07):5.
 LIANG Wen-kuai,LI Yi. Research on Optimization of Flight Scheduling Problem Based on Improved Gene Expression Algorithm[J].,2014,24(06):5.
[3]黄静,王枫,谢志新,等. EAST文档管理系统的设计与实现[J].计算机技术与发展,2014,24(07):13.
 HUANG Jing,WANG Feng,XIE Zhi-xin,et al. Design and Implementation of EAST Document Management System[J].,2014,24(06):13.
[4]侯善江[],张代远[][][]. 基于样条权函数神经网络P2P流量识别方法[J].计算机技术与发展,2014,24(07):21.
 HOU Shan-jiang[],ZHANG Dai-yuan[][][]. P2P Traffic Identification Based on Spline Weight Function Neural Network[J].,2014,24(06):21.
[5]李璨,耿国华,李康,等. 一种基于三维模型的文物碎片线图生成方法[J].计算机技术与发展,2014,24(07):25.
 LI Can,GENG Guo-hua,LI Kang,et al. A Method of Obtaining Cultural Debris’ s Line Chart Based on Three-dimensional Model[J].,2014,24(06):25.
[6]翁鹤,皮德常. 混沌RBF神经网络异常检测算法[J].计算机技术与发展,2014,24(07):29.
 WENG He,PI De-chang. Chaotic RBF Neural Network Anomaly Detection Algorithm[J].,2014,24(06):29.
[7]刘茜[],荆晓远[],李文倩[],等. 基于流形学习的正交稀疏保留投影[J].计算机技术与发展,2014,24(07):34.
 LIU Qian[],JING Xiao-yuan[,LI Wen-qian[],et al. Orthogonal Sparsity Preserving Projections Based on Manifold Learning[J].,2014,24(06):34.
[8]尚福华,李想,巩淼. 基于模糊框架-产生式知识表示及推理研究[J].计算机技术与发展,2014,24(07):38.
 SHANG Fu-hua,LI Xiang,GONG Miao. Research on Knowledge Representation and Inference Based on Fuzzy Framework-production[J].,2014,24(06):38.
[9]叶偲,李良福,肖樟树. 一种去除运动目标重影的图像镶嵌方法研究[J].计算机技术与发展,2014,24(07):43.
 YE Si,LI Liang-fu,XIAO Zhang-shu. Research of an Image Mosaic Method for Removing Ghost of Moving Targets[J].,2014,24(06):43.
[10]余松平[][],蔡志平[],吴建进[],等. GSM-R信令监测选择录音系统设计与实现[J].计算机技术与发展,2014,24(07):47.
 YU Song-ping[][],CAI Zhi-ping[] WU Jian-jin[],GU Feng-zhi[]. Design and Implementation of an Optional Voice Recording System Based on GSM-R Signaling Monitoring[J].,2014,24(06):47.
[11]王俊超,彭涛,冯光柳. 曙光高性能计算机在数值预报模式中的应用[J].计算机技术与发展,2014,24(10):178.
 WANG Jun-chao,PENG Tao,FENG Guang-liu. Application of HPC in Numerical Prediction Model[J].,2014,24(06):178.

更新日期/Last Update: 2015-08-05