摘要
高性能集群并行处理技术已成为海量遥感数据快速处理的重要方法。文章给出了一套精简的遥感数据高性能集群处理系统的结构,阐述了系统的并行处理机制,并从遥感数据并行处理策略、作业与资源管理系统、可视化流程定制、高性能计算编程模型等多个方面对集群式遥感数据处理中的关键技术进行了分析与说明。该研究对遥感处理专业人员和高性能集群系统的设计和开发人员具有一定的参考作用。
High performance computing cluster parallel processing technology has become the important fast method for massive remote sensing data. This paper presents a brief and simple structure of HPC cluster, and expounds its mechanism of parallel processing. The key technologies such as parallel processing strategy of remote sensing data, job and resource management and scheduling system, visual and customization data processing flow, HPC programming model are analyzed and explained. There is a certain reference effect on remote sensing processing personnel or design and development HPC cluster system personnel.
作者
段云龙
李春晓
袁波
陈金锋
DUAN Yun-long;LI Chun-long;YUAN Bo;CHEN Jin-feng(The 27th Research Institute of China Electronics Technology Group Corporation, Zhengzhou 450047, China)
出处
《电光系统》
2018年第4期29-35,共7页
Electronic and Electro-optical Systems
关键词
集群系统
高性能计算
并行处理
遥感数据
Cluster System
High Performance Computing
Parallel Processing
Remote Sensing Data
