DOI: | 10.2172/1136155
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报告号: | LLNL-TR-655463
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报告题名: | Ultrascale Visualization Climate Data Analysis Tools (UV-CDAT) Final Report |
作者: | Williams, Dean N.
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出版年: | 2014
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发表日期: | 2014-05-19
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总页数: | 12
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国家: | 美国
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语种: | 英语
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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 âease-of-use.â 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-CDATâs 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
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Citation statistics: |
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资源类型: | 研究报告
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标识符: | http://119.78.100.158/handle/2HF3EXSE/41523
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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
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1136155.pdf(2150KB) | 研究报告 | -- | 开放获取 | | View
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作者单位: | Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
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Recommended Citation: |
Williams, Dean N.. Ultrascale Visualization Climate Data Analysis Tools (UV-CDAT) Final Report. 2014-01-01.
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