REU Site: Data-Intensive Computing

这个REU网站项目为克莱姆森大学计算学院的10名本科生提供了为期8周的数据密集型计算夏季指导研究体验。数据密集型研究的特点是需要高效地获取、存储、传输、操作、可视化、搜索和分析海量数据集，在科学和工业的各个领域中日益普遍。通过利用克莱姆森在网络基础设施方面的优势、一批优秀的教师导师，以及与NSF资助的现有计划在这一广泛的研究领域的协同作用，该REU网站旨在(1)让本科生接触到数据密集型计算的尖端研究，(2)提供涵盖该领域所用工具和技术的详细教学计划，以及(3)激励参与者在研究生水平继续深造。该计划中的许多研究项目具有高度跨学科的性质，在计算领域内外都具有潜在的影响。该项目将为国家人才库做出贡献，这些学生在数据驱动的计算研究方面拥有备受欢迎的技能，最终将满足日益增长的研究生计算研究领域和计算劳动力的关键部门。此外，该计划还将努力通过积极招募女性和来自其他代表性不足群体的学生，以及来自资源有限的机构的学生来扩大对计算机的参与。该网站由国防部与NSF REU计划合作提供支持。

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.