MRI/MII: Acquisition of Collaborative High Performance Computing and Visualization Cluster

MRI/MII：收购协作高性能计算和可视化集群

• 批准号: 0216541
• 负责人: Stephen Zahorian
• 金额: $ 30.6万
• 依托单位: Old Dominion University Research Foundation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-08-01 至 2006-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0216541&HistoricalAwards=false
• 关键词: MRI; MII; Acquisition; Collaborative; Performance

EIA-0216541Stephen A. ZahorianR. Bowen LoftinOld Dominion UniversityMRI/MII: Acquisition of Collaborative High Performance Computing and Visualization CenterThis proposal from an MII institution, establishing a Beowulf cluster for High Performance Computing (HPC) and visualization, aims at enabling, supporting, and enhancing research and education in modeling and simulation. The main applications addressed use a variety of numerically intensive algorithms, which require many "runs" of a base computational algorithm in order to view the big picture. Technical areas which will benefit from the infrastructure include enterprise modeling and simulation and visualization, high performance computing in areas such as PDE solvers and bioinformatics, control systems modeling, automatic speech recognition, and physical electronics simulations. Current specific research activities at ODU include:1. Modeling and Simulation Research,2. A JSC Augmented Reality Trainer for International Space Station Space Lab Window Assembly,3. Virtual Environments for Training,4. VMASC Battle Lab (war gaming, human computer interfaces, visualization and distributed simulation)5. Center for Computational Science,6. Terascale Optimal PDE Simulations,7. Bioinformatics,8. Speech Communications Research,9. Physical electronics simulations (Bio-electrics, Nanoelectronics, Lattice Boltzmann Simulations, and10. Systems Research on Life Critical Control Systems.The computational cluster will have approximately 50 nodes on the main campus and a number of similar notes at the modeling and simulation center in Suffolk. Coupled via gigabit network and loosely coupled between the two subclusters, the machines within each local cluster will use public domain (e.g., Linux based) operating systems and scheduling such that computationally intensive investigations can be initiated from various locations. The equipment will support faculty and student training providing hands-on experience in advanced computing research.

EIA-0216541 Stephen A.ZahorianR.Bowen LoftinOld Dominion University MRI/MII：收购协作高性能计算和可视化中心这是一家MII机构提出的建议，建立用于高性能计算(HPC)和可视化的Beowulf集群，旨在支持、支持和加强建模和仿真方面的研究和教育。所涉及的主要应用程序使用各种数值密集型算法，这些算法需要基础计算算法的多次“运行”才能查看全局。将受益于基础设施的技术领域包括企业建模、模拟和可视化、PDE解算器和生物信息学等领域的高性能计算、控制系统建模、自动语音识别和物理电子模拟。目前在ODU的具体研究活动包括：1.建模与仿真研究，2.国际空间站空间实验室窗口组装的JSC增强现实训练器，3.用于培训的虚拟环境，4.VMASC作战实验室(战争游戏、人机接口、可视化和分布式仿真)5.计算科学中心，6.Terascale最优PDE模拟，7.生物信息学，8.语音通信研究，9.物理电子学模拟(生物电学、纳米电子学、格子Boltzmann模拟和10.生命关键控制系统的系统研究。计算集群将在主园区有大约50个节点，在萨福克的建模和仿真中心有许多类似的笔记。通过千兆位网络耦合并且在两个子群集之间松散耦合，每个本地群集中的机器将使用公共域(例如，基于Linux)操作系统和调度，从而可以从不同位置启动计算密集型调查。该设备将支持教师和学生的培训，提供高级计算研究方面的实践经验。