II-NEW: Shared High Performance Data Center

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向公众传播。本项目利用具有大量处理核心的计算基础设施，为使用为本项目开发的算法进行数据处理提供并行计算环境。这个项目的规划阶段在规模上是有限的，它为构建大规模基础设施提供了路线图，以支持一系列应用程序的数据管理和传播。该项目获得的基础设施用于(i)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；（ii）创建基于图像内容的视觉单词、视觉短语和视觉块，以改进图像搜索；（iii）管理用户的搜寻偏好及搜寻特征资料，以改善网页搜寻；（iv）提供实用程序，使科学领域的深层网络数据源能够访问。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，成为许多领域研究的催化剂。此外，这项工作和支持它的硬件直接集成到计算机科学课程中，让学生接触高性能计算和高质量数据集的研究价值。

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.