面向大规模数据的科学可视化系统GPVis  

GPVis:A Scientific Visualization System for Large Scale Data

作　　者：单桂华[1] 刘俊[1,2] 李观 高阳[1] 徐涛 田东[1,2] Shan Guihua;Liu Junu;Li Guan;Gao Yang;Xu Tao;Tian Dong(Computer Network Information Center,Chinese Academy of Sciences,Beijing 100190,China;University of Chinese Academy of Sciences,Beijing 100190,China)

机构地区：[1]中国科学院计算机网络信息中心,北京100190 [2]中国科学院大学,北京100049

出　　处：《数据与计算发展前沿》2019年第1期46-62,共17页Frontiers of Data & Computing

摘　　要：【目的】为解决大规模科学数据可视化所面临的一系列问题,提供一套灵活可扩展的科学数据可视化框架,本文设计并实现一种面向大规模数据的科学可视化系统GPVis。【方法】本文基于科学数据可视化在方法和工具层面所面临的挑战和机遇进行了分析,结合数据预组织、图形渲染、高性能计算、人机交互、VR/AR等相关的先进技术,提出了新型的可视化计算及服务框架。【结果】针对常用的可视化方法,本文提出了适用于GPVis框架的可视化处理模式,并列举了多个该可视化框架系统在典型领域的应用案例的具体方法及结果,实现并满足了科学研究人员在数据分析中的可视化需求。【局限】GPVis在智能分析方面还有待进一步提升,未来将与人工智能技术更紧密结合。【结论】GPVis提供了强大且可扩展的大规模科学数据可视化的平台框架,可以针对不同的数据类型及应用需求进行灵活的组件设计,随着系统在框架结构及可视化算法上的不断发展完善,将在更多的科学领域得到应用。[Objective]To solve a series of problems brought about by large-scale scientific data visualization,and to provide a flexible and scalable scientific data visualization framework,this paper proposes GPVis,a scientific visualization system for large-scale data.[Methods]In this paper,we analyzed the challenges and opportunities faced by scientific data visualization at both the method and tool level.A new visual computing and service framework,GPVis,is proposed by using advanced technologies such as data pre-organization,graphics rendering,high-performance computing,human-computer interaction,VR/AR,etc..[Results]For some common visualization methods,this paper proposes several visualization processing models for GPVis framework,and enumerates several application cases of the system in typical fields with provided specific implementation methods and results.In these cases,different types of visualization need of scientific researchers for data analysis were met.[Limitations]GPVis needs more intelligence for data analysis which leads us to incorporate artificial intelligence technology into future developments and introduce more natural human-computer interaction methods.[Conclusions]GPVis provides a powerful and scalable platform framework for large-scale scientific data visualization,enabling flexible component design for different data types and application requirements.As the system continues to evolve by providing more complete frameworic functions and visualization algorithms,it will be applied to more scientific fields in the future.

关 键 词：科学可视化 大规模科学数据 软件系统 大科学装置 虚拟现实 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]