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MRI: Acquisition of the GLOW Distributed Computing System at the University of Wisconsin - Madison

MRI: Acquisition of the GLOW Distributed Computing System at the University of Wisconsin - Madison
MRI:购买威斯康星大学麦迪逊分校的 GLOW 分布式计算系统
批准号:
0320708
负责人:
Miron Livny
金额:
$118.64万
依托单位国家:
美国
项目类别:
Standard 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 2006-08-31

项目摘要

项目成果

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中文摘要
翻译
该项目利用网格实验室(GLOW)中的商品硬件和软件资源的力量,旨在使网格计算成为现实生活中用户和应用程序的大规模环境中科学研究的有效工具。在培训新一代跨学科科学家的同时,这个多学科团队合作开发,实施,测试和部署网格功能。GLOW涵盖六个领域:化学工程,化学,计算机科学,医学物理学(包括放射学和人类肿瘤学),粒子物理学和天体物理学(每个都有重要的计算需求,每个都为实验室贡献了一个站点)。 环境允许探索利用新的计算技术,以满足生物和物理科学前沿研究的计算需求。研究涉及:光学测绘中微子天文台:IceCube软件开发:希格斯玻色子克服复杂流体和材料的分子研究中的瓶颈应用于调强放射治疗,IMRT所有权的社会学性质第一项技术已经成为一个强大的系统,用于从广泛的克隆类型和基因组DNA构建高分辨率限制性图谱。第二个望远镜是一项国际倡议的一部分,该倡议利用南极冰层深处的光学传感器作为切伦科夫探测器;该望远镜收集在装有仪器的体积附近高能中微子相互作用产生的次级粒子的光。第三个探索基础物理学在一个新的能源制度,预计将导致希格斯玻色子的发现,负责提供质量的基本粒子或新的对称性,物质形式,或相互作用。正在开发的软件将触发系统模拟、事件过滤算法和模拟数据分析。在第四,化学工程组进行计算研究设计分子和材料的具体应用,重点放在两个领域:准确,可转移的力场的发展能够描述不同的原子物种之间的相互作用在凝聚介质和先进的模拟技术描述复杂的流体和材料的结构和动力学。第五,医学物理学,放射学和人类肿瘤学小组专注于各个领域;应用范围从放射治疗单元产生的辐射场的蒙特卡罗计算到患者体内的剂量计算。图像科学使用复杂的、高性能的、迭代的、反投影技术来开发用于高级诊断的三维时变图像,其与随机优化相结合为临床分析和治疗提供了新的框架。最后,社会分析师将研究新的所有权和合作关系,因为这些都出现在科学探索领域。GLOW使积极的研究活动的交叉施肥提供了一个现实生活中的网格环境的实验工作开放的学生和博士后许多培训机会。
英文摘要
This project, harnessing the power of commodity hardware and software resources in a Grid laboratory (GLOW), aims at making Grid computing an effective tool for scientific research in a large-scale environment with real-life users and applications. While training a new generation of interdisciplinary scientists, this multidisciplinary team collaborates in the development, implementation, test, and deployment of Grid enabled capabilities. GLOW spans six domains: Chemical Engineering, Chemistry, Computer Science, Medical Physics (including Radiology and Human Oncology), Particle Physics and Astrophysics (each with significant computational needs and each contributing a site to the lab). The environment permits exploration on harnessing new computing technologies to meet the computational needs of leading edge research in the biological and physical sciences. Research involves: Optical mapping Neutrino observatory: IceCube Software development: Higgs boson Overcoming bottlenecks in molecular study of complex fluid and materials Applications in intensity modulated radiation therapy, IMRT Sociological nature of ownershipThe first technique has emerged as a powerful system for the construction of high-resolution restriction maps from a broad range of clone types and genomic DNA. The second forms part of an international initiative utilizing the South Pole ice instrumented at depths with optical sensors as a Cherenkov detector; the telescope collects the light from secondary particles produced in interactions of high-energy neutrinos near the instrumented volume. The third explores fundamental physics at a new energy regime predicted to lead to the discovery of Higgs boson that is responsible for providing masses to elementary particles or new symmetries, matter forms, or interactions. Software under development will trigger system simulation, event filter algorithms, and simulated data analysis. In four, the Chemical Engineering group conducts computational research on designing molecules and materials for specific application, focusing on two areas: development of accurate, transferable force fields capable of describing interactions between distinct atomic species in condensed media and advanced simulation techniques for describing the structure and dynamics of complex fluids and materials. Fifth, the Medical Physics, Radiology, and Human Oncology groups focus on various areas; applications ranging from Monte Carlo calculations of radiation fields produced by radiotherapy treatment units to dose calculation within a patients. Image science uses complex, high performance, iterative, back-projection techniques to develop 3-dimensional time varying images for advanced diagnosis that combined with stochastic optimization provides a new framework for clinical analysis and treatment. Lastly, social analysts will study new ownership and cooperation relations as these emerge in the areas of scientific exploration.GLOW enables the cross-fertilization of active research pursuits providing a real-life Grid environment for experimental work opening many training opportunities for students and postdocs.
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Partnership to Advance Throughput Computing (PATh)
  • 批准号:
    2030508
  • 项目类别:
    Cooperative Agreement
  • 资助金额:
    $2250.0万
  • 财政年份:
    2020
  • 负责人:
    Miron Livny
  • 依托单位:
Accomplisment Based Renewal (ABR) to the award Flight-Worthy Condor: Enabling Scientific Discovery
  • 批准号:
    1321762
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $750.0万
  • 财政年份:
    2013
  • 负责人:
    Miron Livny
  • 依托单位:
THE OPEN SCIENCE GRID The Next Five Years: Distributed High Throughput Computing for the Nation's Scientists, Researchers, Educators, and Students
  • 批准号:
    1148698
  • 项目类别:
    Cooperative Agreement
  • 资助金额:
    $1875.0万
  • 财政年份:
    2012
  • 负责人:
    Miron Livny
  • 依托单位:
Distributed Computing, Multidisciplinary Science and the NSF's Software Insitute Program
  • 批准号:
    1049408
  • 项目类别:
    Standard Grant
  • 资助金额:
    $4.53万
  • 财政年份:
    2010
  • 负责人:
    Miron Livny
  • 依托单位:
海外基金