Parallel Computing and Visualization Infrastructure for Scientific Computation

科学计算的并行计算和可视化基础设施

• 批准号: 0619173
• 负责人: Michael Holst
• 金额: $ 13万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-09-01 至 2007-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0619173&HistoricalAwards=false
• 关键词: Parallel; Computing; Visualization; Infrastructure; Scientific

The Computational and Applied Mathematics (CAM) group in the Department of Mathematics at the University of California, San Diego is proposing the purchase of a 64-bit, 33-node blade rack system, using NPACI Rocks Linux-based software, to improve and upgrade their current parallel computing capabilities. The proposed equipment will support fundamental research and education in computational science. The research of the group includes, but is not restricted to, five core projects: (1) New algorithms for parallel computation with adaptive multilevel finite-element methods. (2) The level-set method in computationally intensive environments. (3) Optimization with partial differential equation constraints. (4) Finite element modeling applications in biochemistry and physics. (5) Hybrid finite-element level-set methods for stress-driven interface dynamics in materials science.Each of these projects is computationally intensive and requires theextensive use of parallel computation. The Investigators have combined expertise in applied mathematics, numerical optimization, numerical partial differential equations and parallel computation. Access to state-of-the-art parallel computers has played a vital and formative role in the research and educational program offered by the CAM group.The proposed equipment will provide an order-of-magnitude improvement in the computing capabilities of the group and will allow them to consider even more challenging computational problems and applications.The Investigators are participating in a wide range of outside research projects that include applications of computational science in off-shore petroleum exploration, protein modeling, the numerical modeling of black holes, the modeling of crystal growth and biomembranes, the capture of diffraction effects of waves, and path planning. An important goal of the CAM group is the development of software for computational science and its dissemination within the manufacturing, engineering andscientific community. Software developed as part of the project willprovide an effective method of technology transfer and will extend thescope and effectiveness of the existing codes PLTMG, FETK, SNOPT and IOTR that have been developed by the investigators at UC San Diego.The software component of the project will have a substantial impact on research involving the modeling of complex systems as it will provide scientists and engineers with instant access to state-of-the-art methods.The members of the CAM group offer a program of instruction and research that emphasizes the role of computational science in the formulation, modeling, and solution of problems from diverse and changing areas. The research and educational activities supported by the proposed equipment will help attract advanced graduate students into the area of computational science, which plays a vital role in the study of systems arising in manufacturing, engineering and the natural sciences.

加州大学圣地亚哥分校数学系的计算与应用数学 (CAM) 小组提议购买 64 位、33 节点刀片机架系统，使用基于 NPACI Rocks Linux 的软件，以改进和升级他们当前的并行计算能力。 拟议的设备将支持计算科学的基础研究和教育。 课题组的研究包括但不限于五个核心项目：（1）自适应多级有限元并行计算新算法。 (2)计算密集型环境中的水平集方法。 (3)带有偏微分方程约束的优化。 (4)有限元建模在生物化学和物理中的应用。 (5)材料科学中应力驱动界面动力学的混合有限元水平集方法。这些项目中的每一个都是计算密集型的，需要广泛使用并行计算。 研究人员结合了应用数学、数值优化、数值偏微分方程和并行计算方面的专业知识。使用最先进的并行计算机在 CAM 小组提供的研究和教育计划中发挥了至关重要的形成性作用。拟议的设备将大大提高该小组的计算能力和将使他们能够考虑更具挑战性的计算问题和应用。研究人员正在参与广泛的外部研究项目，包括计算科学在近海石油勘探中的应用、蛋白质建模、黑洞数值建模、建模晶体生长和生物膜，捕获波的衍射效应和路径规划。 CAM 小组的一个重要目标是开发计算科学软件及其在制造、工程和科学界的传播。 作为该项目一部分开发的软件将提供一种有效的技术转让方法，并将扩展由加州大学圣地亚哥分校的研究人员开发的现有代码 PLTMG、FETK、SNOPT 和 IOTR 的范围和有效性。该项目的软件组件将对涉及复杂系统建模的研究产生重大影响，因为它将为科学家和工程师提供即时获取最先进方法的机会。CAM 小组的成员提供了一个教学和研究计划，强调计算科学制定、建模和解决来自不同和不断变化的领域的问题。 拟议设备支持的研究和教育活动将有助于吸引高级研究生进入计算科学领域，计算科学在制造、工程和自然科学领域的系统研究中发挥着至关重要的作用。