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ITR: Deploying the LIGO Data Grid; Grid-enabling the Gravitational Wave Analysis Community

ITR: Deploying the LIGO Data Grid; Grid-enabling the Gravitational Wave Analysis Community
ITR:部署 LIGO 数据网格;
批准号:
0326281
负责人:
Erotokritos Katsavounidis
金额:
$300.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2003
资助国家:
美国
项目状态:
已结题
起止时间:
2003-09-01 至 2008-08-31

项目摘要

项目成果

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中文摘要
翻译
该ITR-Medium合同支持部署网格支持的LIGO(激光干涉仪引力波天文台)数据分析环境。在LIGO合作项目准备对引力波天体物理学领域的第一批数据进行开创性分析时,已经采用了网格范式来解决其计算需求。该研究项目解决了使用Globus包对LIGO计算资源进行认证和安全访问的相关问题。它还为分布在不同地理位置的LIGO数据分析资源和社区之间分发和共享LIGO的大量数据提供了工具和基础设施。最后,它将网格服务整合到一个主要的控制室类型的数据分析环境中,称为DMT(数据监控工具),从而使其作为基于网格的应用程序可用于更广泛的LIGO社区。这项研究将网格概念从原型阶段带入了实际部署和大型科学实验的日常使用。这项研究经验和由此产生的产品将与整个网格和信息技术计划以及GriPhyN和iVDGL网格开发项目中正在进行的工作具有广泛的相关性。交付的许多组件将具有足够的通用性,可用于其他大型数据分析项目。
英文摘要
This ITR-Medium award supports the deployment of a Grid-enabled LIGO (Laser Interferometer Gravitational wave Observatory) Data Analysis environment. The Grid paradigm has been adopted by the LIGO collaboration to address its computational needs as it prepares to conduct groundbreaking analyses of its first data in the field of gravitational wave astrophysics. The research program addresses issues relating to the authentication and secure access to LIGO's computational resources using the Globus package. It also provides the tools and the infrastructure for distributing and sharing LIGO's large volume of data across the geographically distributed LIGO data analysis resources and community. Finally, it incorporates Grid services to a primarily control-room type data analysis environment called DMT (Data Monitoring Tool) thus making it available to the wider LIGO community as a Grid-based application.This research takes the Grid concept from a prototype stage to real deployment and every day use for a large scientific experiment. This research experience and the products delivered from it will have broad relevance to the overall Grid and Information Technology initiative as well as to on-going work within the GriPhyN and iVDGL Grid development projects. Many of the delivered components will be sufficiently generic to be of use and interest to other large data analysis projects.
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Collaborative Research: Frameworks: Machine learning and FPGA computing for real-time applications in big-data physics experiments
  • 批准号:
    1931469
  • 项目类别:
    Standard Grant
  • 资助金额:
    $90.42万
  • 财政年份:
    2019
  • 负责人:
    Erotokritos Katsavounidis
  • 依托单位:
Collaborative Research: Community Planning for Scalable Cyberinfrastructure to Support Multi-Messenger Astrophysics
  • 批准号:
    1841617
  • 项目类别:
    Standard Grant
  • 资助金额:
    $3.24万
  • 财政年份:
    2018
  • 负责人:
    Erotokritos Katsavounidis
  • 依托单位:
海外基金