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道格拉斯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。待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，包括代数多重网格算法、并行方法、偏微分方程求解、鞍点问题、特征分量、优化方法和硬件辅助方法。 新算法将被纳入应用程序中，以展示除了创造力之外的实用性。该项目将巩固三所大学教师之间广泛的合作：一所美国大学（肯塔基大学）和两所奥地利大学（约翰开普勒林茨大学和卡尔- Franzens-格拉茨大学）。 此次合作将使许多美国研究生获得国际研究机会，其中包括少数民族或阿巴拉契亚学生。 典型的肯塔基大学学生没有太多在一流、国际化大学就读的经验，毕业后处于严重劣势。 该项目将为学生提供他们仅留在校园所无法企及的优势。 他们从这个项目中获得的经验将类似于毕业前获得博士后奖学金。这个项目将极大地拓宽肯塔基大学学生的视野，他们通常只看到当地的研究人员或一日游者，他们的日程安排不超过与学生交谈一个小时。 虽然访客有时会激励学生，但与相同的访客和他们自己的研究小组一起实际长时间工作是无可替代的。美国成员还将在夏季教授短期课程并参加在奥地利举办的活跃研讨会系列。 两个学院的个人都将因他们的研究技能而接触到更多、更多样化的受众而受益，并且能够将研究结果传播给更广泛的受众。