Frontiers of Data and Computing ›› 2019, Vol. 1 ›› Issue (1): 46-62.doi: 10.11871/jfdc.issn.2096.742X.2019.01.006

Special Issue: “数据与计算平台”专刊

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GPVis: A Scientific Visualization System for Large Scale Data

Guihua Shan1,*(),Jun Liu1,2,Guan Li1,2,Yang Gao1,Tao Xu1,Dong Tian1,2   

  1. 1.Chinese Academy of Sciences, Computer Network Information Center, Beijing 100190, China
    2.University of Chinese Academy of Sciences, Beijing 100190, China
  • Received:2019-08-15 Online:2019-01-20 Published:2019-10-09
  • Contact: Guihua Shan E-mail:sgh@cnic.cn

Abstract:

[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 framework functions and visualization algorithms, it will be applied to more scientific fields in the future.

Key words: scientific visualization, large scale scientific data, software system, Mega Science Facilities, virtual reality