US-Austria Cooperative Research: Fast Solvers for Computational Pharmacy, Life Sciences, Mathematics, Physics, and Environmental Modeling

美国-奥地利合作研究:计算药学、生命科学、数学、物理和环境建模的快速求解器

基本信息

项目摘要

0405349DouglasThis project will enhance research in computational science on state-of-the-art high performance computers, clusters, and intercontinental GRID computing environments. We will extend parallel methods to solve very large-scale problems in computational neurology, science, and engineering using hardware-assisted algorithms. The applications to be investigated include computational neurology, imaging and noninvasive blood flow analysis, ocean modeling, and general computational fluid dynamics. We will develop better algorithms, including ones for algebraic multigrid, parallel methods, for solution of partial differential equations, saddle point problems, eigencomponents, optimization methods, and hardware-assisted methods. The new algorithms will be incorporated into the applications in order to demonstrate usefulness besides just creativity.This project will solidify broad based collaborations between faculties at three universities: one U.S. (University of Kentucky) and two Austrian (Johannes Kepler Universitat Linz and the Karl-Franzens- Universitat Graz). The collaboration will expose a number of U.S. graduate students to international research opportunities, including minority or Appalachian students. Typical University of Kentucky students do not have much experience with top-fliight, internationally oriented universities and are at a serious disadvantage upon graduation. This project will give the students an edge they cannot hope for by just staying on campus. The experience they will receive from this project will be similar to doing a postdoctoral fellowship before graduation.This project will vastly broaden the horizons of University of Kentucky students, who typically only see local researchers or one-day visitors whose schedules do not include more than an hour to talk to students. While visitors sometimes motivate students, there is no replacement for actually working for an extended time with the same visitors and their own research groups. The U.S. members will also teach short courses and participate in active seminar series in Austria during the summer months. Both faculties will personally benefit from exposure to a larger and diverse audience for their research skills and will be able to disseminate results to a much wider audience.
[405349] douglas该项目将加强对最先进的高性能计算机、集群和洲际网格计算环境的计算科学研究。我们将扩展并行方法,使用硬件辅助算法来解决计算神经学、科学和工程中的大规模问题。研究的应用包括计算神经学、成像和无创血流分析、海洋建模和一般计算流体动力学。我们将开发更好的算法,包括代数多重网格、并行方法、偏微分方程解、鞍点问题、特征分量、优化方法和硬件辅助方法。新的算法将被整合到应用程序中,以展示实用性,而不仅仅是创造性。该项目将巩固三所大学院系之间的广泛合作:一所美国大学(肯塔基大学)和两所奥地利大学(林茨约翰内斯·开普勒大学和格拉茨卡尔·弗兰岑大学)。这项合作将使许多美国研究生获得国际研究机会,包括少数民族或阿巴拉契亚学生。典型的肯塔基大学学生在一流的、面向国际的大学没有太多的经验,在毕业时处于严重的劣势。这个项目将给学生们带来他们仅仅呆在校园里无法获得的优势。他们将从这个项目中获得类似于毕业前做博士后研究的经验。这个项目将极大地拓宽肯塔基大学学生的视野,他们通常只能看到当地的研究人员或一天的访客,他们的日程安排不包括超过一个小时的时间与学生交谈。虽然游客有时会激励学生,但没有什么可以代替与同样的游客和他们自己的研究小组一起长时间工作。美国成员还将在夏季期间在奥地利教授短期课程并参加积极的系列研讨会。两所学院的研究技能都将从接触到更多不同的受众中受益,并将能够将成果传播给更广泛的受众。

项目成果

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Craig Douglas其他文献

Craig Douglas的其他文献

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{{ truncateString('Craig Douglas', 18)}}的其他基金

Collaborative Research: Data-enabled Modeling, Numerical Method, and Data Assimilation for Coupling Dual Porosity Flow with Free Flow
协作研究:双孔隙流动与自由流动​​耦合的数据建模、数值方法和数据同化
  • 批准号:
    1722692
  • 财政年份:
    2017
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
CC*DNI Engineer: Big Data Enabler for the UW-DMZ
CC*DNI 工程师:UW-DMZ 的大数据推动者
  • 批准号:
    1541392
  • 财政年份:
    2015
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
CC*IIE Networking Infrastructure: Enabling Scientific Discovery through a UW-DMZ
CC*IIE 网络基础设施:通过 UW-DMZ 实现科学发现
  • 批准号:
    1440610
  • 财政年份:
    2014
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
Workshop on Dynamic Data-Driven Applications Systems (DDDAS) - InfoSymbiotic Systems
动态数据驱动应用系统 (DDDAS) 研讨会 - InfoSymbiotic Systems
  • 批准号:
    1057753
  • 财政年份:
    2010
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
CSR-CSI: Collaborative Research: Dynamic Sensor/Computation Network for Wildfire Management
CSR-CSI:协作研究:用于野火管理的动态传感器/计算网络
  • 批准号:
    1018079
  • 财政年份:
    2009
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
ITR/NGS: Collaborative Research: DDDAS: Data Dynamic Simulation for Disaster Management
ITR/NGS:合作研究:DDDAS:灾害管理数据动态模拟
  • 批准号:
    1018072
  • 财政年份:
    2009
  • 资助金额:
    --
  • 项目类别:
    Continuing Grant
CSR-CSI: Collaborative Research: Dynamic Sensor/Computation Network for Wildfire Management
CSR-CSI:协作研究:用于野火管理的动态传感器/计算网络
  • 批准号:
    0720454
  • 财政年份:
    2007
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
DDDAS-TMRP: Collaborative Research: Adaptive Data-Driven Sensor Configuration, Modeling, and Deployment for Oil, Chemical, and Biological Contamination near Coastal Facilities
DDDAS-TMRP:协作研究:沿海设施附近石油、化学和生物污染的自适应数据驱动传感器配置、建模和部署
  • 批准号:
    0540178
  • 财政年份:
    2005
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
ALGORITHMS: Multiscale, Multicolor, Multigrid-Like Solvers for High Performance Technical Computing
算法:用于高性能技术计算的多尺度、多颜色、类多重网格求解器
  • 批准号:
    0305466
  • 财政年份:
    2003
  • 资助金额:
    --
  • 项目类别:
    Continuing Grant
ITR/NGS: Collaborative Research: DDDAS: Data Dynamic Simulation for Disaster Management
ITR/NGS:合作研究:DDDAS:灾害管理数据动态模拟
  • 批准号:
    0324876
  • 财政年份:
    2003
  • 资助金额:
    --
  • 项目类别:
    Continuing Grant

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美国奥地利-丹麦合作研究:心血管-呼吸系统的建模与控制
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美国-奥地利合作研究:评估光滑和粗糙植被上方的感热通量密度
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    8822563
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