CAJ | 학술논문

并行计算技术可以大幅度提高数据处理效率，快速响应用户需求。随着地理空间数据量增大、复杂性增加、时效性增强，采用并行计算技术和处理架构来进行地理空间信息大数据的处理是必由之路。本文研究了各种高性能计算以及互联网所采用的并行计算技术，分析了地理空间数据的特点和并行处理的难点，提出了GIS对并行计算的支持技术路线，探讨了云计算环境中部署并行系统的方法和策略，实现了SMPP并行架构，并基于该系统对并行处理的效能进行了研究和分析。最后，展望了并行GIS技术发展的前景和演进路线。
병행계산기술가이대폭도제고수거처리효솔，쾌속향응용호수구。수착지리공간수거량증대、복잡성증가、시효성증강，채용병행계산기술화처리가구래진행지리공간신식대수거적처리시필유지로。본문연구료각충고성능계산이급호련망소채용적병행계산기술，분석료지리공간수거적특점화병행처리적난점，제출료GIS대병행계산적지지기술로선，탐토료운계산배경중부서병행계통적방법화책략，실현료SMPP병행가구，병기우해계통대병행처리적효능진행료연구화분석。최후，전망료병행GIS기술발전적전경화연진로선。
Parallel computing technology can greatly improve the efficiency of data processing and rapidly response to user requests . These days, traditional GIS faces new opportunities and challenges , such as bigger spatial data volume , more complex computing , and higher demand of efficiency , which makes the parallel computing technology and processing architecture necessary to process big geo -spatial information data .This paper studies high -performance and parallel computing technologies , analyzes the characteristics of geospatial data and the difficulties of parallel processing , proposes a technical support roadmap for parallel computing technology , dis-cusses the methods and strategies to deploy parallel system in cloud computing environment , and implements the SMPP parallel com-puting architecture. It also researches and analyzes the performance of parallel processing systems .Finally, this paper prospects the future of the development of parallel GIS technology and evolution path .