World-Class Science Through World Leadership in HPC

通过 HPC 领域的世界领先地位实现世界一流的科学

• 批准号: 0622780
• 负责人: John Boisseau
• 金额: $ 5893.02万
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-10-01 至 2013-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0622780&HistoricalAwards=false
• 关键词: World; Class; Science; Through; Leadership

Proposal: 0622780 PI Name: Boisseau, John R.ABSTRACTThis award is for the acquisition, deployment and operation of a high-performance computational system for use by the broad science and engineering research and education community. The system, to be known as the Sun Constellation Cluster, will be deployed at the Texas Advanced Computing Center, located at the University of Texas at Austin. The project represents a collaboration between the University of Texas at Austin, Sun Microsystems, Advanced Micro Devices, the Cornell Theory Center at Cornell University, and the Fulton High Performance Computing Institute at Arizona State University. The Sun Constellation Cluster will greatly increase the combined capacity of the computational resources of the current NSF-funded, shared-use, high-performance computing facilities and provide a capability that is an order of magnitude larger than the largest supercomputer that NSF currently supports. Because of this, it will advance research and education across a broad range of topical areas in science and engineering that use high-performance computing to advance understanding. With this new resource, researchers will study the properties of minerals at the extreme temperatures and pressures that occur deep within the Earth. They will use it to simulate the development of structure in the early Universe. They will probe the structure of novel phases of matter such as the quark-gluon plasma. Such computing capabilities enable the modeling of life cycles that capture interdependencies across diverse disciplines and multiple scales to create globally competitive manufacturing enterprise systems. The system will permit researchers to examine the way proteins fold and vibrate after they are synthesized inside an organism. Sophisticated numerical simulations will permit scientists and engineers to perform a wide range of in silico experiments that would otherwise be too difficult, too expensive or impossible to perform in the laboratory. High-performance computing of the sort that will be possible with the new system is also essential to the success of research and education conducted with sophisticated experimental tools. For example, without the waveforms produced by numerical simulations of black hole collisions and other astrophysical events, gravitational wave signals cannot be extracted from the data produced by the Laser Interferometer Gravitational Wave Observatory; high-resolution seismic inversions from the higher density of broadband seismic observations furnished by the EarthScope project are necessary to determine shallow and deep Earth structure; simultaneous integrated computational and experimental testing is conducted on the Network for Earthquake Engineering Simulation to improve seismic design of buildings and bridges; and advanced computing capabilities will be essential to extracting the signature of the Higgs boson and supersymmetric particles, two of the scientific drivers of the Large Hadron Collider, from the petabytes of data produced in the trillions of particle collisions. This project presents an exciting opportunity to advance the type of research described above by: (i) greatly extending the capacity of high-performance computational resources available to the science and engineering communities, (ii) extending the range of advanced computations that can be handled by providing a system with a very large amount of memory, and a very large amount of processing capability. This system will use an architecture that is similar to that present in many academic institutions and to which many science and engineering applications have been ported. In addition, the system represents an important stepping-stone towards the goal of the use of petascale computing in science and engineering research and education at the end of the decade. It will provide a platform that will allow researchers to experiment with techniques for overcoming one of the hurdles in the path to petascale computing, scaling to very large numbers of processors. This computing system will also provide opportunities to many graduate students and post-docs to gain experience in using high-performance computing systemsThe Texas Advanced Computing Center and its partners will broaden the impact of the computing resource by: teaching in situ and online classes for undergraduate and graduate students in high-performance computing, visualization, data analysis, and grid computing for computational research in science and engineering; partnering with faculty and students at a number of Minority Serving Institutions to provide training in the use of high-performance computing resources; and collaborating with the Girlstart program, a program that supports and enhances the interest of girls in math, science, and technology.

提案：0622780 PI名称：Boisseau，John R.Abstractthis奖是为了获得，广泛的科学和工程研究和教育社区使用的高性能计算系统的收购，部署和运营。 该系统被称为太阳星座集群，将部署在德克萨斯州奥斯汀分校的德克萨斯州高级计算中心。 该项目代表了德克萨斯大学奥斯汀分校，太阳微型系统，高级微型设备，康奈尔大学康奈尔理论中心与亚利桑那州立大学的富尔顿高性能计算研究所之间的合作。 太阳星团将大大提高当前NSF资助，共享，高性能计算设施的计算资源的合并能力，并提供比NSF当前支持的最大超级计算机大的数量级。 因此，它将推动在科学和工程领域的广泛主题领域的研究和教育，这些领域使用高性能计算来提高理解。 借助这一新资源，研究人员将研究矿物质在地球深处的极端温度和压力下的特性。 他们将使用它来模拟早期宇宙中结构的发展。 他们将探测物质新型阶段的结构，例如夸克 - 胶状等离子体。 这样的计算能力使生命周期的建模能够捕获各种学科和多个量表的相互依赖性，从而创建具有全球竞争性的制造企业系统。 该系统将允许研究人员检查蛋白质在生物体内合成后蛋白质折叠和振动的方式。 复杂的数值模拟将使科学家和工程师能够执行各种硅实验，否则这些实验将太困难，太昂贵或无法在实验室中执行。 新系统将可能对那种可能发生的那种类型的高性能计算对于使用复杂的实验工具进行的研究和教育的成功至关重要。 例如，没有黑洞碰撞和其他天体物理事件的数值模拟产生的波形，就无法从激光干涉仪重力引力波观测值产生的数据中提取重力波信号。高分辨率的地震反转来自地球项目所提供的宽带地震观测的较高密度，对于确定浅层和深层的结构是必要的。同时进行集成计算和实验测试在地震工程模拟网络上进行，以改善建筑物和桥梁的地震设计。高级计算功能对于从数万亿个粒子碰撞中产生的数据的数据中提取Higgs Boson和Supersymmetric颗粒的标志至关重要。 该项目提供了一个令人兴奋的机会，可以推进上述研究的类型：（i）大大扩展了可用于科学和工程社区可用的高性能计算资源的能力，（ii）扩展可以通过为系统提供大量内存和大量处理能力来扩展可以处理的高级计算范围。 该系统将使用类似于许多学术机构中存在的建筑，并将其移植到许多科学和工程应用程序中。 此外，该系统代表着在十年末在科学和工程研究和教育中使用佩斯卡尔计算的目标的重要垫脚石。 它将提供一个平台，该平台将使研究人员可以尝试克服佩斯卡尔计算道路中的障碍之一的技术，从而扩展到大量的处理器。 该计算系统还将为许多研究生和DOC提供机会，以获得使用高性能计算系统的经验，德克萨斯州高级计算中心及其合作伙伴将通过以下方式扩大计算资源的影响：在现场和在线课程中，在本科和在线课程中，用于高性能计算，可视化，数据分析，数据分析以及计算机研究和计算机研究中的高表现计算，计算机和网络计算中的计算机研究和机构;与许多少数派服务机构的教职员工和学生合作，以提供高性能计算资源的培训；并与GirlStart计划合作，该计划支持和增强女孩对数学，科学和技术的兴趣。