Strategies for Remote Visualization on a Dynamically Configurable Testbed
Strategies for Remote Visualization on a Dynamically Configurable Testbed
批准号:
0947825
负责人:
Jinghua Ge
金额:
$29.94万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-09-15 至 2012-08-31
中文摘要
现代科学研究越来越依赖于对高性能计算机、分布式大规模数据和高速网络的模拟和分析。该项目名为《动态可配置测试床上的远程可视化策略》,将使用集成的、面向应用程序的设计和开发方法来构建高度优化的分布式应用程序。这些应用程序将使用网络服务作为一流资源,以及分布式计算、存储和可视化资源。特别是,该项目将研究大数据分布式可视化的新策略,构建一个先进的分布式体绘制系统原型,该系统结合了用户控制的网络服务、高速数据流、高质量视频流和并行GPU加速的交互渲染。该项目将与分布的国家(LSU,NCSA,ORNL,TACC)和国际(Masaryk University)合作者以及网络提供商(Internet2,Loni,OmniPop,ESnet)合作,建立一个用于实施和评估战略的真实世界试验台。智力价值本项目同时解决分布式计算和计算科学中的问题,其根本目标是发展和加强国家网络基础设施,以使科学发现日益增长的大型和复杂计算环境,如由美国国家科学基金会的TeraGrid,XD,Blue Waters和Datanet计划。广泛的影响真实世界试验床,利用Internet2的动态可配置网络服务,S,将提供一个持久的实验环境,一系列应用程序组将使用该环境来制作和测试分布式应用程序的原型。该试验台将向路易斯安那州国家科学基金会EPSCoR研究基础设施改善奖网络基础设施部分的40多名学生和博士后开放。
英文摘要
Modern scientific research is increasingly dependent on simulation and analysis requiring high performance computers, distributed large-scale data and high-speed networks. This project, Strategies for Remote Visualization on a Dynamically Configurable Testbed, will use an integrated, application-oriented design and development approach to build highly-optimized distributed applications. These applications will use network services as first class resources, together with distributed compute, storage, and visualization resources. In particular, the project will investigate new strategies for distributed visualization of large data, prototyping an advanced distributed volume rendering system combining user-controlled network services,high-speed data streaming, high-quality video streaming and parallel GPU-accelerated interactive rendering. Working with distributed national (LSU, NCSA, ORNL, TACC) and international (Masaryk University) collaborators, as well network providers (Internet2, LONI, OmniPop, ESNET) the project will build a real-world testbed for implementation and evaluation of strategies.Intellectual MeritThis project simultaneously addresses issues in distributed computing and computational science, and is fundamentally targeted at the development and enhancement of a national cyberinfrastructure to enable scientific discovery on increasing large and complex computing environments such as provided by the NSF's TeraGrid, XD, Blue Waters and DataNet programs.Broader ImpactThe real-world testbed, utilizing Internet2's Dynamically Configurable Network service, will provide a persistent experimental environment that will be used by a range of application groups to prototype and experiment distributed applications. The testbed will be available to over forty students and postdocs working in the cyberinfrastructure component of Louisiana's NSF EPSCOR Research Infrastructure Improvement award.
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国内基金
海外基金
Identification and quantification of primary phytoplankton functional types in the global oceans from hyperspectral ocean color remote sensing
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资助金额:160万元
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批准年份:2022
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负责人:李忠平
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依托单位: