MRI: Developing a High Performance Computing Center Through Acquisition of a PC Cluster for Cross-Disciplinary Research and Education

MRI：通过收购 PC 集群来开发高性能计算中心，用于跨学科研究和教育

• 批准号: 0619810
• 负责人: Selahattin Ozcelik
• 金额: --
• 依托单位: Texas A&M University-Kingsville
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-08-01 至 2009-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0619810&HistoricalAwards=false
• 关键词: MRI; Developing; Performance; Computing; Center

This project, acquiring a high-performance PC cluster, will enable computationally aggressive techniques to be applied in a variety of disciplines, with a focus on environmental disciplines that relate to the environment and economy of south Texas. This cluster is designed to support the following projects:Integrated windmill and utility system simulation, Modeling/simulation of linked and braided electroactive polymers, Monte Carlo and molecular dynamics simulations of gas hydrates, Modeling subsurface microbial competition,Modeling coupled transport of colloids and contaminants, and their biological effects in river systems,Decision support tools to estimate groundwater availability,Modeling flow and transport of contaminants,GIS-based flood and storm surge simulation and damage assessment,Air quality forecasting,Instrument and measurement research on estimate precision using ratio indicator, andUsing simulation-based genetic algorithms for dynamic signal control optimization in networks with stochastic route choice and time-variant demand.These applications and the general computational methods to be employed have been planned. The system design includes a gigabit-ethernet-based interconnect and 128 processors with 2 GBytes of local memory, connected to a 1.2 TByte storage-area network. Management will include an Advisory Board and a Management Board. TAMUK is providing power/environmental support and system administrator personnel.

该项目获得了高性能PC群集，将使计算积极进取的技术能够应用于各种学科，重点关注与南克萨斯州的环境和经济有关的环境学科。 This cluster is designed to support the following projects:Integrated windmill and utility system simulation, Modeling/simulation of linked and braided electroactive polymers, Monte Carlo and molecular dynamics simulations of gas hydrates, Modeling subsurface microbial competition,Modeling coupled transport of colloids and contaminants, and their biological effects in river systems,Decision support tools to estimate groundwater availability,Modeling flow and transport of使用比率指标，使用比率指示器，以及基于模拟的遗传算法，在具有随机路线选择和时间偏置需求的网络中，使用基于模拟的遗传算法对估算精度进行污染物，基于GIS的洪水和风暴潮模拟以及损害评估，空气质量预测，仪器和测量研究，并使用基于模拟的遗传算法。系统设计包括一个基于千兆以内网的互连和128个带有2个本地内存的处理器，连接到1.2 TBYTE存储区域网络。管理层将包括顾问委员会和管理委员会。 Tamuk正在提供电力/环境支持和系统管理员人员。