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姓名：Boisseau，John R.摘要该奖项旨在奖励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获取、部署和操作。 该系统被称为太阳星座集群，将部署在德克萨斯州奥斯汀大学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、Sun Microsystems、Advanced Micro Devices、康奈尔大学康奈尔理论中心和亚利桑那州立大学富尔顿高性能计算研究所之间的合作。 Sun Constellation Cluster将极大地增加当前NSF资助的共享使用的高性能计算设施的计算资源的组合容量，并提供比NSF目前支持的最大超级计算机大一个数量级的能力。 正因为如此，它将推动科学和工程领域广泛的研究和教育，这些领域使用高性能计算来促进理解。 有了这种新资源，研究人员将研究矿物在地球深处发生的极端温度和压力下的性质。 他们将用它来模拟早期宇宙结构的发展。 他们将探索物质的新相的结构，如夸克胶子等离子体。 这样的计算能力使生命周期建模能够捕获跨不同学科和多个尺度的相互依赖性，以创建具有全球竞争力的制造企业系统。 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进行广泛的计算机实验，否则这些实验太困难、太昂贵或不可能在实验室中进行。 新系统可能实现的高性能计算对于使用先进实验工具进行的研究和教育的成功也至关重要。 例如，如果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引力波观测台产生的数据中提取引力波信号;必须从EarthScope项目提供的更高密度的宽带地震观测中进行高分辨率地震反演，以确定浅层和深层地球结构;在地震工程模拟网络上同时进行综合计算和实验测试，以改进建筑物和桥梁的抗震设计;先进的计算能力对于提取希格斯玻色子和超对称粒子的特征至关重要，这两种粒子是大型强子对撞机的科学驱动力，从万亿次粒子碰撞产生的PB级数据中。 该项目提供了一个令人兴奋的机会，通过以下方式推进上述类型的研究：（i）极大地扩展了科学和工程界可用的高性能计算资源的容量，（ii）通过提供具有非常大量的内存和非常大量的处理能力的系统来扩展可以处理的高级计算的范围。 这一系统将采用一种类似于许多学术机构目前的结构，许多科学和工程应用程序已移植到这一结构。 此外，该系统是实现在本十年结束时在科学和工程研究和教育中使用千万亿次计算这一目标的重要基石。 它将提供一个平台，使研究人员能够试验克服千万亿次计算道路上的一个障碍的技术，扩展到非常大量的处理器。 该计算系统还将为许多研究生和博士后提供机会，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：为本科生和研究生教授高性能计算、可视化、数据分析和网格计算在科学和工程计算研究;与教师和学生在少数民族服务机构的一些合作，提供高性能计算资源的使用培训;并与Girlstart计划合作，该计划支持和提高女孩对数学，科学和技术的兴趣。