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.

加利福尼亚大学圣地亚哥分校数学系的计算和应用数学组（CAM）组正在建议购买基于NPACI Rocks Linux的软件，以改善和升级其当前并行计算功能，以购买64位，33个节点的刀片机架系统。 拟议的设备将支持计算科学中的基本研究和教育。 该小组的研究包括但不限于五个核心项目：（1）使用自适应多级有限元方法进行并行计算的新算法。 （2）计算密集型环境中的级别方法。 （3）具有部分微分方程约束的优化。 （4）生物化学和物理学中的有限元建模应用。 （5）用于材料科学中应力驱动的界面动力学的混合有限元级别方法。这些项目在计算上是计算密集的，需要扩展使用并行计算。 研究人员在应用数学，数值优化，数值偏微分方程和并行计算方面结合了专业知识。 CAM组提供的研究和教育计划中，获得最先进的平行计算机已发挥了至关重要的作用。拟议的设备将在该小组的计算能力中提供刻板级的提高，并将允许他们考虑更具挑战性的计算问题和应用。研究人员在研究的范围内参与了计算机上的广泛范围，包括计算范围的计算范围，这些范围是计算范围的应用程序，这些范围是计算范围的应用程序。黑洞的建模，晶体生长和生物膜的建模，波的衍射效应的捕获以及路径计划。 CAM组的一个重要目标是开发用于计算科学的软件及其在制造，工程和水平社区中的传播。 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以及强调计算科学在不同和变化领域的问题的制定，建模和解决方案中的作用的研究。 拟议的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，该领域在制造，工程和自然科学的系统中起着至关重要的作用。