globalchange  > 过去全球变化的重建
DOI: 10.2172/1136155
报告号: LLNL-TR-655463
报告题名:
Ultrascale Visualization Climate Data Analysis Tools (UV-CDAT) Final Report
作者: Williams, Dean N.
出版年: 2014
发表日期: 2014-05-19
总页数: 12
国家: 美国
语种: 英语
英文摘要: A partnership across government, academic, and private sectors has created a novel system that enables climate researchers to solve current and emerging data analysis and visualization challenges. The Ultrascale Visualization Climate Data Analysis Tools (UV-CDAT) software project utilizes the Python application programming interface (API) combined with C/C++/Fortran implementations for performance-critical software that offers the best compromise between "scalability" and “ease-of-use.” The UV-CDAT system is highly extensible and customizable for high-performance interactive and batch visualization and analysis for climate science and other disciplines of geosciences. For complex, climate data-intensive computing, UV-CDAT’s inclusive framework supports Message Passing Interface (MPI) parallelism as well as taskfarming and other forms of parallelism. More specifically, the UV-CDAT framework supports the execution of Python scripts running in parallel using the MPI executable commands and leverages Department of Energy (DOE)-funded general-purpose, scalable parallel visualization tools such as ParaView and VisIt. This is the first system to be successfully designed in this way and with these features. The climate community leverages these tools and others, in support of a parallel client-server paradigm, allowing extreme-scale, server-side computing for maximum possible speed-up.
URL: http://www.osti.gov/scitech/servlets/purl/1136155
Citation statistics:
资源类型: 研究报告
标识符: http://119.78.100.158/handle/2HF3EXSE/41523
Appears in Collections:过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响

Files in This Item:
File Name/ File Size Content Type Version Access License
1136155.pdf(2150KB)研究报告--开放获取View Download

作者单位: Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

Recommended Citation:
Williams, Dean N.. Ultrascale Visualization Climate Data Analysis Tools (UV-CDAT) Final Report. 2014-01-01.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Williams, Dean N.]'s Articles
百度学术
Similar articles in Baidu Scholar
[Williams, Dean N.]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Williams, Dean N.]‘s Articles
Related Copyright Policies
Null
收藏/分享
文件名: 1136155.pdf
格式: Adobe PDF
此文件暂不支持浏览
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.