• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2012, Vol. 34 ›› Issue (8): 142-146.

• 论文 • 上一篇    下一篇

面向大规模科学计算的可视分析模式

王弘堃,肖丽,邵京云,廖丽,艾志玮   

  1. (北京应用物理与计算数学研究所高性能计算中心,北京 100094)
  • 收稿日期:2012-04-28 修回日期:2012-06-11 出版日期:2012-08-25 发布日期:2012-08-25
  • 基金资助:

    国家863计划资助项目(2010AA012402);国家重点实验室基金项目(SYS67)

Visual Analysis Patterns for LargeScale Scientific Computing

WANG Hongkun,XIAO Li,SHAO Jingyun,LIAO Li,AI Zhiwei   

  1. (HighPerformance Computing Center Institute of Applied Physics
    and Computational Mathematics,Beijing 100094,China)
  • Received:2012-04-28 Revised:2012-06-11 Online:2012-08-25 Published:2012-08-25

摘要:

可视分析是大规模科学计算重要的辅助工具,面对不断增长的计算规模,需要高分辨率显示来提高可视化结果的可信度。合理配置可视化硬件系统,建立拥有独立研究、团队讨论、专家会诊模式的协调可视分析环境,结合具有对比、查询和多变量分析能力的并行分布可视分析软件平台,为大规模科学计算提供有效的辅助分析环境,提高研究效率。

关键词: 可视分析, 大屏幕投影, 科学计算

Abstract:

Visual analysis is an important tool for largescale scientific computing. With the growth of computational scale,a highresolution render is needed to improve the credibility of visulization.Visualization hardware should be allocated rationally to set up the visual analysis environment with expert consultation,team discussion and personal study patterns,combined with a distributed parallel visualization system consisting the contrast,the query and multivariate analysis capability.This can result in effective surport for largescale scientific numerical simulation analysis and improved research efficiency.

Key words: visual analysis;power wall;scientific computing