基于高性能计算平台和WRF环境实验的教学改革  

Teaching Reform Based on High Performance Computing Platform and WRF Environment Experiment

作　　者：黄建强[1] 吴利[1] 曹腾飞[1] 孟永伟[1] 王晓英[1] 

机构地区：[1]青海大学计算机技术与应用系,青海西宁810016

出　　处：《实验室研究与探索》2016年第2期94-97,151,共5页Research and Exploration In Laboratory

基　　金：青海省应用基础研究基金项目(2014-ZJ-718);青海大学中青年基金项目(2013-QGY-10);青海大学中青年基金项目(2014-QGY-23)

摘　　要：青海大学三江源数据分析中心的128个HP节点组成的高性能计算集群系统,峰值计算速度达1.331万亿次/s。在此基础上,扩展了12个浪潮节点,峰值计算速度达5.2万亿次/s,存储达到20TB。在浪潮集群系统上搭建了天气预报模式WRF的实验环境,为青海省气象所提供数值计算环境,同时为我校培养交叉学科研究生提供实验教学环境,开拓交叉学科教学新模式。Three-River Source Data Analysis Center,Qinghai University,holds a high-performance computing cluster system,which consists of 128 nodes,and it can reach to the peak computing speed of 1. 331 trillion times / s. On this basis,by expanding 12 Inspur nodes,it can reach to the peak computing speed of 5. 2 trillion times / s,and storage reaches 20 TB. We set up the experimental environment of weather forecast model WRF in the Inspur cluster system which can provide numerical calculation environments for Qinghai Province Meteorological Institute,at the same time,for our school,it can train interdisciplinary graduate students teaching environment,and develop a new model of interdisciplinary teaching.

关 键 词：高性能计算 WRF环境建设 实验教学 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]