"Upgrading computational facilities for URI Seismology and Marine Geophysics"

“升级 URI 地震学和海洋地球物理学的计算设施”

• 批准号: 0727919
• 负责人: Yang Shen
• 金额: $ 6.73万
• 依托单位: University of Rhode Island
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2008-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0727919&HistoricalAwards=false
• 关键词: Upgrading; computational; facilities; URI; Seismology

ABSTRACTOCE-0727919Intellectual Merit. The project will support the computational research of an expanding group of University of Rhode Island young investigators in marine seismology and geophysics. The facility will comprise a 100-processor-core, 25 node Linux Beowulf cluster with associated 30 TB RAID disk array. The provision of this infrastructure will initially facilitate significant advances in finite-frequency seismic tomography, an effort that will enable the group to achieve more accurate images of the Earth's interior structure. A new theory of propagation of real, finite-frequency waves will be applied, and finite-frequency sensitivity kernels will be calculated to determine the degree to which seismic traveltime and seismic amplitude anomalies in seismic data sets are sensitive to changes in 3D Earth structure. The improved computational resources and associated implementations of algorithms using the aforementioned theoretical developments will enable to group to solve nonlinear tomographic problems without present-day high frequency or structural limitations. In addition to the improved 3D tomographic imaging capability for the current URI group of investigators, faculty new to URI (Savage) depend on high performance computational clusters to calculate 3D synthetic seismograms, and to apply these methods to practical problems such as the creation of a model of seismic velocity, attenuation and anisotropy of the Gulf of California (supported through the NSF Margins Program). Savage further will use this cluster to continue the development and improvement of a widely-used multi-processor program (Specfem3D). Zhao has recently joined the URI group, where he will use the cluster to continue work on the scattering-integral method for calculating finite-frequency sensitivity kernels. Zhang will generate 3D models on the cluster with irregular surfaces, seafloor topography, anisotropy and seismic heterogeneity. These newly-joined URI group members have all been carrying out their calculations using machines at other institutions/countries equivalent to that to be established through this project. Thus the establishment of this class of resource at URI will provide the team with the necessary resources to carry out their core research.Broader impacts. The computational cluster will enhance URI's research infrastructure by providing a modern, high-performance supercomputer with advanced 3D graphics capabilities. The facility will continue to be used in research and undergraduate and graduate education. Results from simulations of wave propagation and mantle convection will continue to be integrated into geophysical courses to help students to gain physical intuition. A graduate course on computational geophysics will use the proposed facility. The facility is essential for graduate students to participate in research projects.

摘要-0727919知识价值。该项目将支持罗得岛大学一个不断扩大的海洋地震学和海洋物理学年轻调查人员小组的计算研究。该设施将包括一个100个处理器核心、25个节点的Linux Beowulf集群，以及相关的30 TB RAID磁盘阵列。提供这一基础设施最初将促进有限频率地震层析成像的重大进展，这一努力将使该小组能够获得地球内部结构的更准确图像。将应用一种新的真实的有限频率波传播理论，并计算有限频率灵敏度核，以确定地震数据集中的地震走时和地震振幅异常对三维地球结构变化的敏感程度。改进的计算资源和使用上述理论发展的算法的相关实现将使组能够解决非线性层析成像问题，而没有当今的高频率或结构限制。除了改进的三维层析成像能力，为目前的URI组的调查，教师新URI（萨维奇）依靠高性能计算集群计算三维合成地震图，并将这些方法应用于实际问题，如地震速度，衰减和各向异性的加州湾（通过NSF边缘计划支持）的模型的创建。Savage还将使用该集群继续开发和改进广泛使用的多处理器程序（Specfem 3D）。Zhao最近加入了URI组，在那里他将使用集群继续研究计算有限频率灵敏度核的散射积分方法。Zhang将在具有不规则表面、海底地形、各向异性和地震异质性的集群上生成3D模型。这些新加入的URI组成员都在使用与通过本项目建立的机器相当的其他机构/国家的机器进行计算。因此，在URI建立这类资源将为团队提供必要的资源来开展核心研究。更广泛的影响。计算集群将通过提供具有先进3D图形功能的现代高性能超级计算机来增强URI的研究基础设施。该设施将继续用于研究以及本科和研究生教育。波传播和地幔对流的模拟结果将继续纳入地球物理课程，以帮助学生获得物理直觉。一门关于计算电子物理学的研究生课程将使用拟议的设施。该设施对于研究生参与研究项目至关重要。