II-NEW: Shared High Performance Data Center

II-新：共享高性能数据中心

• 批准号: 1058724
• 负责人: Yijuan Lu
• 金额: $ 5万
• 依托单位: Texas State University - San Marcos
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-02-01 至 2013-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1058724&HistoricalAwards=false
• 关键词: II; NEW; Shared; Performance; Data

The high performance data center planning project provides computational and storage resources to generate meaningful data sets and disseminate them to the public. This project utilizes computing infrastructure with large numbers of processing cores to provide a parallel computing environment required for data processing using algorithms developed for this project. The planning phase of this project is limited in scale and provides a roadmap to building large scale infrastructure to support data management and dissemination for a range of applications. The infrastructure acquired under this project is used to (i) generate spatiotemporal data sets describing the extent and motion of hurricanes, storm systems, and other natural phenomena; (ii) create visual words, visual phrases, and visual blocks based on image contents to improve image search; (iii) manage information on search preferences and search characteristics of users for improved web search; and (iv) provide utilities to enable access to deep web data sources for scientific domains. Data sets and utilities created through this project will be made publicly available.This project serves as a catalyst for research in many fields through the production of high quality data sets, and the production of methods and utilities required collect, manipulate, and use the data. Furthermore, this work and the hardware supporting it is being directly integrated into computer science classes to expose students to high performance computing and the value of high quality data sets for research.

高性能数据中心规划项目提供计算和存储资源，以生成有意义的数据集并将其传播给公众。 该项目利用具有大量处理核心的计算基础设施，提供使用为此项目开发的算法进行数据处理所需的并行计算环境。该项目的规划阶段在规模上是有限的，并提供了一个路线图，以建立大规模的基础设施，以支持数据管理和传播的一系列应用程序。 在该项目下获得的基础设施用于：㈠生成描述飓风、风暴系统和其他自然现象的范围和运动的时空数据集; ㈡根据图像内容创建视觉词、视觉短语和视觉块，以改进图像搜索; ㈢管理关于用户搜索偏好和搜索特征的信息，以改进网络搜索;以及（iv）提供实用程序以使得能够访问用于科学领域的深网数据源。通过该项目创建的数据集和实用程序将公开提供。该项目通过生产高质量的数据集以及生产收集，操作和使用数据所需的方法和实用程序，在许多领域发挥催化剂的作用。 此外，这项工作和支持它的硬件正在直接集成到计算机科学课程中，让学生了解高性能计算和高质量数据集的研究价值。