REU Site: Data-Intensive Computing

REU 站点：数据密集型计算

• 批准号: 1263180
• 负责人: Brian Dean
• 金额: $ 26.45万
• 依托单位: Clemson University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-04-01 至 2017-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1263180&HistoricalAwards=false
• 关键词: REU; Site; Data; Intensive; Computing

This REU Site program offers an 8-week mentored summer research experience in data-intensive computing for 10 undergraduate students in the School of Computing at Clemson University. Data-intensive research, characterized by the need to efficiently acquire, store, transmit, manipulate, visualize, search, and analyze massive data sets, is increasingly pervasive in all areas of science and industry. By leveraging Clemson's strength in cyber-infrastructure, a talented pool of faculty mentors, and synergy with an existing NSF-funded program for incoming graduate students in this broad research area, this REU Site aims to (1) expose undergraduates to cutting-edge research in data-intensive computing, (2) provide a detailed instructional program covering the tools and technologies used in this domain, and (3) motivate participants to pursue further advanced study at the graduate level.Many research projects within this program are highly interdisciplinary in nature, with potential impact within as well as outside the field of computing. The program will contribute to the national talent pool of students with highly-sought skills in data-driven computing research, ultimately feeding both a growing area of graduate computing study, and a crucial sector of the computing workforce. In addition, the program will also strive to broaden participation in computing by actively recruiting women and students from other under-represented groups, as well as students from institutions with limited resources for providing research opportunities.The site is supported by the Department of Defense in partnership with the NSF REU program.

这个REU网站程序提供了一个为期8周的指导夏季研究经验，在数据密集型计算的10名本科生在计算学院在克莱姆森大学。 数据密集型研究的特点是需要有效地获取，存储，传输，操作，可视化，搜索和分析大量数据集，在科学和工业的各个领域越来越普遍。 通过利用克莱姆森在网络基础设施方面的优势，一个有才华的教师导师库，以及与现有NSF资助的研究生入学计划在这个广泛的研究领域的协同作用，这个REU网站的目的是（1）让本科生接触数据密集型计算的前沿研究，（2）提供一个详细的教学计划，涵盖在这个领域使用的工具和技术，及（3）鼓励参与者在研究生阶段继续深造。该计划中的许多研究项目具有高度的跨学科性质，在计算领域内外具有潜在的影响。该计划将有助于国家人才库的学生在数据驱动的计算研究，最终养活了研究生计算研究的不断增长的领域，和计算劳动力的一个关键部门的高度追求的技能。 此外，该计划还将通过积极招募女性和其他代表性不足的群体的学生，以及来自提供研究机会的资源有限的机构的学生，努力扩大对计算的参与。该网站由国防部与NSF REU计划合作支持。