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
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
中文摘要
该ITR-Medium奖项支持部署支持网格的LIGO(激光干涉引力波天文台)数据分析环境。LIGO合作组织已经采用网格范式来满足其计算需求,因为它准备在引力波天体物理学领域对其第一批数据进行开创性的分析。该研究计划解决了与使用Globus软件包对LIGO计算资源进行身份验证和安全访问有关的问题。它还提供了工具和基础设施,用于在地理上分布的LIGO数据分析资源和社区中分发和共享LIGO的大量数据。最后,它结合了网格服务的主要控制室类型的数据分析环境称为DMT(数据监控工具),从而使其提供给更广泛的LIGO社区作为一个基于Grid-based application.This研究网格的概念从原型阶段到真实的部署和每天使用的大型科学实验。这一研究经验和由此提供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。许多交付的组件将足够通用,以供其他大型数据分析项目使用和使用。
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
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批准号:1931469
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项目类别:Standard Grant
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资助金额:$90.42万
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财政年份:2019
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负责人:Erotokritos Katsavounidis
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依托单位:
Collaborative Research: Community Planning for Scalable Cyberinfrastructure to Support Multi-Messenger Astrophysics
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批准号:1841617
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项目类别:Standard Grant
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资助金额:$3.24万
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财政年份:2018
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负责人:Erotokritos Katsavounidis
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依托单位:
海外基金