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ITR: (ASE)-(INT,DMC)- Rapid-Response Adaptive Computing Environment (RACE) for LHC Physics Analysis

ITR: (ASE)-(INT,DMC)- Rapid-Response Adaptive Computing Environment (RACE) for LHC Physics Analysis
ITR:(ASE)-(INT、DMC)-用于大型强子对撞机物理分析的快速响应自适应计算环境 (RACE)
批准号:
0427113
负责人:
Sridhara Dasu
金额:
$0.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2004
资助国家:
美国
项目状态:
已结题
起止时间:
2004-09-01 至 2009-08-31
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中文摘要
翻译
日内瓦欧洲高能物理实验室(CERN)的大型强子对撞机(LHC)正在建设中的实验所产生的快速信息流是一个重大的计算挑战。在这份ITR提案中,UW-Madison团队建议设计和构建一个原型快速响应自适应计算环境(RACE),该环境将他们的本地资源与全球分布式计算网格整合在一起,以满足CMS实验的关键任务和时限需求。这些比赛将具有资源管理功能和知识管理功能。UW团队建议通过专注于CMS触发系统数据验证和数据取证软件来开发RACE技术。这项工作可以使个人物理学家和小组能够高效、可靠、易处理和及时地提取大型强子对撞机物理。此外,他们建议帮助调整比赛设置,以满足华盛顿大学医学物理学研究人员的需求,这些研究人员希望利用商用计算机为他们的在线放射治疗应用程序提供突发计算。该小组预计,他们为知识管理开发的软件基础设施可以通过使用相同的总体原则开发适当的本体和描述来应用于其他领域。从事这个项目的研究生研究助理将受益于将他们的研究想法应用到具体的现实世界中。来自跨学科团队的想法的交叉培养,应该会增强他们在进入该行业工作时提出创新想法的能力。
英文摘要
The rapid information flow from the experiments being constructed at the Large Hadron Collider (LHC) in the European Laboratory for High Energy Physics (CERN), Geneva presents a major computational challenge. In this ITR proposal, the UW-Madison team proposes to design and build a prototype Rapid-Response Adaptive Computing Environment (RACE) that integrates their local resources with the globally distributed computing grid, to cater to mission-critical, time-bound needs of the CMS experiment. These RACEs will have resource management features as well as knowledge management features. The UW team proposes to develop RACE technology by focusing on CMS trigger system data validation and data forensics software. This work can empower individual physicists and small groups enabling efficient, reliable, tractable and timely extraction of LHC physics. In addition, they propose to help adapt the RACE set-up to the needs of the UW Medical Physics researchers who expect to exploit commodity computers for providing burst computing for their online radiation therapy applications. The team anticipates that the software infrastructure that they develop for knowledge management can be applied to other domains by developing appropriate ontologies and descriptions using the same overall principles. The graduate research assistants working on this project will benefit from applying their research ideas to a concrete real-world application. The cross-fertilization of ideas from their interdisciplinary team should enhance their ability to come up with innovative ideas when they move on to work in the industry.
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Collaborative Research: Any Data, Anytime, Anywhere
  • 批准号:
    1104447
  • 项目类别:
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  • 资助金额:
    $71.02万
  • 财政年份:
    2011
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