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

• 批准号: 0405349
• 负责人: Craig Douglas
• 金额: --
• 依托单位: University of Kentucky Research Foundation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-01 至 2009-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0405349&HistoricalAwards=false
• 关键词: US; Austria; Cooperative; Research; Fast

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.

0405349 Douglasthis项目将增强有关最先进的高性能计算机，簇和洲际网格计算环境的计算科学研究。 我们将扩展使用硬件辅助算法在计算神经病学，科学和工程方面解决非常大规模的问题的平行方法。要研究的应用包括计算神经病学，成像和非侵入性血流分析，海洋建模和一般计算流体动力学。 我们将开发更好的算法，包括用于代数多机，并行方法的算法，用于解决部分微分方程的解决方案，鞍点问题，本特征组件，优化方法和硬件辅助方法。 新算法还将纳入应用程序，以证明除了创造力之外还将证明有用性。该项目将巩固三所大学的教职员工之间的基于广泛的合作：一所美国（肯塔基大学）和两名奥地利人（Johannes Kepler Universitat Linz和Karl-Franzens-Franzens-Franzens-Franzens-Universitat Graz）。 该合作将使许多美国研究生接触到包括少数民族或阿巴拉契亚学生在内的国际研究机会。 典型的肯塔基大学学生在顶级，以国际为导向的大学中没有太多经验，并且在毕业时处于严重的劣势。 这个项目将使学生仅在校园内就能获得他们无法期望的优势。 他们将从该项目中获得的经验类似于毕业前的博士后研究金。该项目将大大拓宽肯塔基大学学生的视野，肯塔基大学的学生通常只会看到当地的研究人员或一日游客，他们的日程安排不包括超过一个小时的与学生交谈。 尽管访客有时会激励学生，但与同一访问者及其自己的研究小组相比，实际上很长时间实际工作。美国成员还将在夏季在奥地利教授短课程，并参加奥地利的活跃研讨会系列。 这两种能力将亲自从向更大而多样化的受众群体的研究技能中受益，并能够向更广泛的受众传播结果。