MRI: Acquisition of an Itanium Cluster for Grid Computing

EIA-0320895 Henry J.Neeman；Kelvin K.Droegemeier；Kyran D.Mish；Dimitrios V.Papavassiliou；Patrick L.Skubi俄克拉荷马大学MRI：收购用于网格计算的安腾集群这项来自Epcor州的提案，寻求为基于安腾的电网提供资金，旨在将各种计算领域的设施和研究整合到TeraGrid中，并考虑建立网络基础设施。正在进行的气象学、高能物理、地震、化学和航空航天工程项目将使用该资源来设计、开发和调试启用网格的软件。其中包括：大气发现的建模环境(MEAD)大气发现的链接环境(LEAD)地震工程模拟的数据网格工具网络(NEES)计算服务器的开发基于网格的多尺度问题求解环境，油气藏模拟中的多相流，以及用于初步飞机设计和优化的基于网格的设计环境。MEAD合作开发和调整网络基础设施，以使用TeraGrid对飓风和风暴进行模拟、数据挖掘/机器学习和可视化。牵头项目为实时(RT)天气预报和相关研究开发启用网格的资源。高能物理数据网格工具项目为科学分析社区开发动态工作区工具，为他们的项目创建动态工作区，并为RT交互共享工作区开发补充协作工具。NEESgrid项目将全国各地的地震研究人员与尖端计算资源联系起来，允许地理上分散的合作。HiMUST项目为多尺度、多相、多物理的多孔介质流动开发了一个问题解决环境。网格-普拉多项目通过为设计工程师大规模并行搜索设计参数空间来提供网格启用的飞机设计。该项目涉及两个少数族裔机构，朗斯顿大学和霍华德大学。

EIA-0320895Henry J. Neeman; Kelvin K. Droegemeier; Kyran D. Mish; Dimitrios V. Papavassiliou; Patrick L. SkubicUniversity of OklahomaMRI: Acquisition of an Itanium Cluster for Grid ComputingThis proposal from an EPCoR state, seeking funding for an Itanium based grid, aims at integrating the facility and the research in various computational fields into TeraGrid and contemplated Cyber-infrastructure. On-going projects in meteorology, high-energy physics, earthquake, chemical and aerospace engineering, will use the resource for design, development, and debugging Grid-enabled software. These include: Modeling Environment for Atmospheric Discovery (MEAD) Linked Environments for Atmospheric Discovery (LEAD) Development of Data Grid Tools Network for Earthquake Engineering Simulation (NEES) Computational Server Development of a Grid-based Problem Solving Environment for Multiscale, Multiphase Flow through Porous Media in Hydrocarbon Reservoir Simulation, and Grid-based Design Environment for Preliminary Aircraft Design and Optimization.The MEAD collaboration develops and adapts cyber-infrastructure to enable simulation, data mining/ machine learning, and visualization of hurricanes and storms using TeraGrid. The LEAD project develops Grid-enabled resources for real time (RT) weather forecasting and related research. The High Energy Physics Data Grid Tools project develops tools for dynamic workspaces for scientific analysis communities creating dynamic workspaces for their projects and complementary collaboratory tools for RT interactive sharing of workspaces. The NEESgrid project links earthquake researchers across the nation with leading-edge computing resources, allowing geographically distributed collaboration. The HiMUST project develops a problem solving environment for multiscale, multiphase, multiphysics flow of porous media. The Grid-PRADO project provides Grid-enabled aircraft design through massively parallel searching of design parameter spaces for design engineers.The project involves participation of two minority institutions, Langston and Howard Universities.