A National Institute for Computational Sciences to Provide Leading-Edge Computational Support for Breakthrough Science and Engineering Research

国家计算科学研究所将为突破性科学和工程研究提供前沿计算支持

基本信息

  • 批准号:
    0711134
  • 负责人:
  • 金额:
    $ 6444.22万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Cooperative Agreement
  • 财政年份:
    2007
  • 资助国家:
    美国
  • 起止时间:
    2007-10-01 至 2017-06-30
  • 项目状态:
    已结题

项目摘要

0711134: University of Tennessee - KnoxvillePI: Thomas ZachariaABSTRACTIn this project, the University of Tennessee at Knoxville (UTK) will provide a significant new computing capability to the research community. It will provide the capability for researchers to tackle large and complex research challenges in a wide range of areas. In partnership with the Oak Ridge National Laboratory (ORNL), UTK will acquire, deploy and operate a sequence of large, well balanced, high-performance computational resources on behalf of the science and engineering research community. Initially, a large teraflop/s Cray XT4 system will be deployed. This will subsequently be upgraded to a Cray Baker system with a peak performance of over one petaflop/s and a large amount of main memory. These systems will be sited at the Joint Institute for Computational Sciences, a center established by the University of Tennessee and the Oak Ridge National Laboratory (ORNL), housed in a building constructed by the state of Tennessee on the ORNL campus. The new systems will form part of NSF's TeraGrid high-performance cyberinfrastructure, doubling the computational capacity of the TeraGrid in one year.This award will permit investigators across the country to conduct innovative research in a number of areas. Examples of recent impacts of the TeraGrid's high performance computing resources in research, taken from NSF's "Highlights" database, include:. The first atomic level simulation of a life form. These simulations of the satellite tobacco mosaic virus will help scientists determine what factors are important to the virus' structural integrity and how those factors might influence assembly of the virus inside host cells.. Avalanches, oil spills, thunderstorm fronts, and the dust cloud following a building collapse all generate heavier fluid intrusions into a lighter environment. Mathematical modeling and large scale simulations give engineers the means to study these threedimensional flows, which are frequently immeasurable due to their destructive power.. Over the last year, scientists have used more than one million CPU hours on TeraGrid systems to optimize the process by which the signals generated by Higgs decay are separated from the potentially overwhelming background noise.. One of the best tools economists have to account for the vagaries of human decision-making as it affects economic forecasting is the life cycle model. Using a process called "backward induction," for the first time, made it possible to apply massively parallel computing to the life cycle model. TeraGrid systems were used to solve the largest, most realistically specified versions of the life cycle model ever attempted. . Proteins are the building blocks of the body, and biologists have learned that the myriad ways they function from fighting off infection and building new bones to storing a memory depend on the precise details of their 3 D shapes. But determining the shapes of proteins has been a slow and exacting process. By dramatically accelerating scientific research, modern supercomputers are opening the door to medical advances such as rational drug design.This project manifests broader impacts in a number of areas. . The project enhances the infrastructure for research and education through the provision of facilities for high-end computing integrated into the TeraGrid. Integration into the TeraGrid permits the facility to be used, relatively transparently, to provide back-end services to the education portals within the TeraGrid Science and Engineering Gateways. . The project partners at Oak Ridge National Laboratory, the Texas Advanced Computing Center, and the National Center for Atmospheric Research will collaborate to develop and offer advanced training in high-end computing topics including scaling and performance optimization. This training program will include in-person training at remote institutions where there are at least ten attendees. Training sessions will also be provided at large science and engineering workshops and conferences.. Leveraging funding from a variety of sources, the University of Tennessee at Knoxville will launch a multidisciplinary Intercollegiate Graduate Program in Computational Science that will offer training in computational science to students in a wide range of disciplines.. Many of the users of the proposed system will be graduate students and post-doctoral researchers working in research groups that use high-end computing in their investigations. It is anticipated that the computational resources provided by this project will play a role in over one hundred graduate theses.. The project will work with the Oak Ridge Associated Universities' Council of Minority-Serving Institutions to recruit a diverse group of users from underrepresented groups.One of the primary partners in this project, ORNL, operates a portfolio of existing programs aimed at introducing pre-college and college students to the science and engineering uses of highend computing and at broadening the participation of underrepresented groups in science and engineering. The types of research conducted with the new system will be integrated into these programs.
0711134:田纳西大学诺克斯维尔分校:Thomas zacharia摘要在这个项目中,田纳西大学诺克斯维尔分校(UTK)将为研究界提供重要的新计算能力。它将为研究人员在广泛的领域解决大型和复杂的研究挑战提供能力。UTK将与橡树岭国家实验室(ORNL)合作,代表科学和工程研究界获取、部署和操作一系列大型、平衡良好的高性能计算资源。最初,将部署一个大型teraflop/s克雷XT4系统。该系统随后将升级为Cray Baker系统,峰值性能超过1千万亿次/秒,并拥有大量主内存。这些系统将被安置在计算科学联合研究所,这是一个由田纳西大学和橡树岭国家实验室(ORNL)建立的中心,位于田纳西州在ORNL校园内建造的一栋大楼里。新系统将成为美国国家科学基金会TeraGrid高性能网络基础设施的一部分,在一年内将TeraGrid的计算能力提高一倍。该奖项将允许全国各地的研究人员在许多领域进行创新研究。TeraGrid的高性能计算资源最近在研究中的影响的例子,摘自NSF的“亮点”数据库,包括:第一次原子水平的生命模拟。这些对卫星烟草花叶病毒的模拟将帮助科学家确定哪些因素对病毒的结构完整性很重要,以及这些因素如何影响病毒在宿主细胞内的组装。雪崩、石油泄漏、雷暴锋面以及建筑物倒塌后的尘埃云都会使较重的流体侵入较轻的环境。数学建模和大规模模拟为工程师提供了研究这些三维流动的手段,由于它们的破坏力,这些流动往往是不可测量的。在过去的一年里,科学家们已经在TeraGrid系统上使用了超过100万CPU小时来优化希格斯衰变产生的信号与潜在的压倒性背景噪声分离的过程。生命周期模型是经济学家用来解释人类决策的变幻莫测的最好工具之一,因为它会影响经济预测。使用一种称为“逆向归纳”的过程,首次使大规模并行计算应用于生命周期模型成为可能。TeraGrid系统被用来解决有史以来最大的、最实际的生命周期模型。蛋白质是人体的基本组成部分,生物学家已经了解到,从抵抗感染、构建新骨骼到存储记忆,蛋白质的各种功能都取决于它们3d形状的精确细节。但是确定蛋白质的形状是一个缓慢而严格的过程。通过极大地加速科学研究,现代超级计算机打开了医学进步的大门,比如合理的药物设计。这个项目在许多领域显示出更广泛的影响。该项目通过提供集成到TeraGrid中的高端计算设施,加强了研究和教育的基础设施。集成到TeraGrid中,可以相对透明地使用该设施,为TeraGrid科学与工程网关中的教育门户提供后端服务。橡树岭国家实验室、德克萨斯高级计算中心和国家大气研究中心的项目合作伙伴将合作开发并提供高端计算主题的高级培训,包括缩放和性能优化。该培训计划将包括在至少有10名与会者的偏远机构进行现场培训。还将在大型科学和工程讲习班和会议上提供培训课程。利用各种来源的资金,田纳西大学诺克斯维尔分校将启动一个多学科的计算科学校际研究生项目,该项目将为广泛学科的学生提供计算科学方面的培训。该系统的许多用户将是在研究小组中使用高端计算的研究生和博士后研究人员。预计该项目提供的计算资源将在一百多篇研究生论文中发挥作用。该项目将与橡树岭联合大学少数族裔服务机构理事会合作,从代表性不足的群体中招募不同群体的用户。ORNL是该项目的主要合作伙伴之一,它运营着一系列现有项目,旨在向大学预科生和大学生介绍高端计算在科学和工程领域的应用,并扩大未被充分代表的群体在科学和工程领域的参与。用新系统进行的研究类型将被整合到这些项目中。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Gregory Peterson其他文献

The Evolution of Consciousness and the Theology of Nature
意识的进化和自然神学
  • DOI:
    10.1111/0591-2385.00213
  • 发表时间:
    1999
  • 期刊:
  • 影响因子:
    0.4
  • 作者:
    Gregory Peterson
  • 通讯作者:
    Gregory Peterson
A Self for Others: Joint Self-Other Representation of Value During Morally Relevant Action
为他人着想:在道德相关行动中共同表达自我与他人的价值
Development of a Score to Predict Hospitalisation due to Adverse Drug Reactions in Older Patients
  • DOI:
    10.1016/j.sapharm.2016.05.074
  • 发表时间:
    2016-09-01
  • 期刊:
  • 影响因子:
  • 作者:
    Nibu Nair;Leanne Chalmers;Bonnie Bereznicki;Ronald Castelino;Gregory Peterson;Colin Curtain;Michael Connolly;Luke Bereznicki
  • 通讯作者:
    Luke Bereznicki
IS MY FEELING YOUR PAIN BAD FOR OTHERS? EMPATHY AS VIRTUE VERSUS EMPATHY AS FIXED TRAIT
  • DOI:
    10.1111/zygo.12330
  • 发表时间:
    2017-03
  • 期刊:
  • 影响因子:
    0.4
  • 作者:
    Gregory Peterson
  • 通讯作者:
    Gregory Peterson
ARE EVOLUTIONARY/COGNITIVE THEORIES OF RELIGION RELEVANT FOR PHILOSOPHY OF RELIGION?
宗教的进化/认知理论与宗教哲学相关吗?
  • DOI:
  • 发表时间:
    2010
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Gregory Peterson
  • 通讯作者:
    Gregory Peterson

Gregory Peterson的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Gregory Peterson', 18)}}的其他基金

MRI: Development of iSNARLD (Instrument for Situational Network Awareness for Real-time and Long-term Data)
MRI:iSNARLD(实时和长期数据情境网络感知工具)的开发
  • 批准号:
    1626338
  • 财政年份:
    2016
  • 资助金额:
    $ 6444.22万
  • 项目类别:
    Standard Grant
International High Performance Computing Summer School 2016
2016年国际高性能计算暑期学校
  • 批准号:
    1634240
  • 财政年份:
    2016
  • 资助金额:
    $ 6444.22万
  • 项目类别:
    Standard Grant
2015 International High Performance Computing (HPC) Summer School
2015国际高性能计算(HPC)暑期学校
  • 批准号:
    1535537
  • 财政年份:
    2015
  • 资助金额:
    $ 6444.22万
  • 项目类别:
    Standard Grant
REU Site: Computational Science for Undergraduate Research Experience (CSURE)
REU 网站:本科生研究经验的计算科学 (CSURE)
  • 批准号:
    1262937
  • 财政年份:
    2013
  • 资助金额:
    $ 6444.22万
  • 项目类别:
    Standard Grant
Computational chemistry and physics beyond the petascale
超越千万亿级的计算化学和物理
  • 批准号:
    0904972
  • 财政年份:
    2009
  • 资助金额:
    $ 6444.22万
  • 项目类别:
    Standard Grant
Mapping Polygranular Parallel Processing to Shared, Heterogeneous, High-Performance Reconfigurable Computers
将多粒度并行处理映射到共享、异构、高性能可重构计算机
  • 批准号:
    0311500
  • 财政年份:
    2003
  • 资助金额:
    $ 6444.22万
  • 项目类别:
    Continuing Grant

相似海外基金

Institute in Critical Quantitative, Computational, and Mixed Methods Training For Underrepresented Scholars
为代表性不足的学者提供关键定量、计算和混合方法培训的学院
  • 批准号:
    2133982
  • 财政年份:
    2021
  • 资助金额:
    $ 6444.22万
  • 项目类别:
    Standard Grant
AI Institute for Intelligent CyberInfrastructure with Computational Learning in the Environment (ICICLE)
环境中具有计算学习功能的智能网络基础设施人工智能研究所 (ICICLE)
  • 批准号:
    2112606
  • 财政年份:
    2021
  • 资助金额:
    $ 6444.22万
  • 项目类别:
    Cooperative Agreement
Computational Genomics Summer Institute and Mentoring Network
计算基因组学暑期学院和指导网络
  • 批准号:
    10613400
  • 财政年份:
    2020
  • 资助金额:
    $ 6444.22万
  • 项目类别:
Institute in Critical Quantitative, Computational, and Mixed Methods Training For Underrepresented Scholars
为代表性不足的学者提供关键定量、计算和混合方法培训的学院
  • 批准号:
    1937687
  • 财政年份:
    2020
  • 资助金额:
    $ 6444.22万
  • 项目类别:
    Standard Grant
Institute for Computational and Experimental Research in Mathematics
数学计算与实验研究所
  • 批准号:
    1929284
  • 财政年份:
    2020
  • 资助金额:
    $ 6444.22万
  • 项目类别:
    Continuing Grant
Institute in Critical Quantitative, Computational, and Mixed Methods Training For Underrepresented Scholars
为代表性不足的学者提供关键定量、计算和混合方法培训的学院
  • 批准号:
    1937490
  • 财政年份:
    2020
  • 资助金额:
    $ 6444.22万
  • 项目类别:
    Standard Grant
Institute in Critical Quantitative, Computational, and Mixed Methods Training For Underrepresented Scholars
为代表性不足的学者提供关键定量、计算和混合方法培训的学院
  • 批准号:
    1937391
  • 财政年份:
    2020
  • 资助金额:
    $ 6444.22万
  • 项目类别:
    Standard Grant
MRI: Acquisition of a Computing Cluster for Portland Institute for Computational Sciences
MRI:为波特兰计算科学研究所收购计算集群
  • 批准号:
    1624776
  • 财政年份:
    2016
  • 资助金额:
    $ 6444.22万
  • 项目类别:
    Standard Grant
Institute for Computational and Experimental Research in Mathematics
数学计算与实验研究所
  • 批准号:
    1439786
  • 财政年份:
    2015
  • 资助金额:
    $ 6444.22万
  • 项目类别:
    Continuing Grant
Scientific Software Innovation Institute for Computational Chemistry and Materials Modeling (S2I2C2M2) Software Summer School
计算化学与材料建模科学软件创新研究院(S2I2C2M2)软件暑期学校
  • 批准号:
    1450986
  • 财政年份:
    2014
  • 资助金额:
    $ 6444.22万
  • 项目类别:
    Standard Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了