REU Site: Data Intensive Scientific Computing

REU 站点：数据密集型科学计算

• 批准号: 1560363
• 负责人: Douglas Thain
• 金额: $ 35.98万
• 依托单位: University of Notre Dame
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-02-15 至 2019-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1560363&HistoricalAwards=false
• 关键词: REU; Site; Data; Intensive; Scientific

REU Site: Data Intensive Scientific ComputingDouglas Thain and Kevin Lannon, University of Notre DameThis REU Site project will bring ten undergraduate students to the University of Notre Dame each summer for three years to perform research projects in scientific computing. These students will work in collaborative groups including experts in both high performance computing techniques and scientific fields that rely upon computing. Using advanced computational systems, the students will work in scientific areas such a gene sequencing, network visualization, particle physics, and astronomy. Students will gain experience in working in groups, using computational tools, and presenting scientific results, which will help to prepare them for entering a career in computational science.Computing has become an essential component of scientific discovery across the scientific disciplines. Novel algorithms combined with large scale infrastructure have the potential to multiply the power of simulation and data analysis tasks by many orders of magnitude. However, our current educational models are not aligned toward advancing scientific computing: computer science students have too little exposure to scientific applications, while physical science students have too little exposure to computing techniques. To address this, we propose an REU site in Data Intensive Scientific Computing (DISC) that will bring together undergraduates in computer science, physical sciences, and other interdisciplinary majors. Our objective is to train all participants in collaborative techniques so that they gain experience in both computing techniques and a physical science domain, as appropriate to their background. To achieve this, we have assembled a team of faculty from three distinct areas (computer science, physics, and biological sciences) that have already formed an active set of collaborations. Resources for the students and faculty involved will be provided by the Notre Dame Center for Research Computing (CRC) which provides large scale computing, storage, and communication facilities. Every participant will have access to a large shared cluster, a high performance parallel storage system and a data analysis cluster.

REU 站点：数据密集型科学计算圣母大学道格拉斯·塞恩 (Douglas Thain) 和凯文·兰农 (Kevin Lannon) 该 REU 站点项目将每年夏天将 10 名本科生带到圣母大学，为期三年，执行科学计算方面的研究项目。 这些学生将在协作小组中工作，其中包括高性能计算技术和依赖计算的科学领域的专家。 学生将使用先进的计算系统，在基因测序、网络可视化、粒子物理学和天文学等科学领域开展工作。 学生将获得小组工作、使用计算工具和展示科学成果的经验，这将有助于他们为进入计算科学职业做好准备。计算已成为跨科学学科的科学发现的重要组成部分。新颖的算法与大规模基础设施相结合，有可能将模拟和数据分析任务的能力提高多个数量级。然而，我们当前的教育模式与推进科学计算并不一致：计算机科学学生接触科学应用的机会太少，而物理科学学生接触计算技术的机会太少。为了解决这个问题，我们提议建立一个数据密集型科学计算 (DISC) 领域的 REU 网站，该网站将汇集计算机科学、物理科学和其他跨学科专业的本科生。我们的目标是对所有参与者进行协作技术培训，以便他们根据自己的背景获得计算技术和物理科学领域的经验。为了实现这一目标，我们组建了一支来自三个不同领域（计算机科学、物理学和生物科学）的教师团队，他们已经形成了一系列积极的合作。圣母大学研究计算中心 (CRC) 将为相关学生和教职人员提供资源，该中心提供大规模计算、存储和通信设施。每个参与者都可以访问大型共享集群、高性能并行存储系统和数据分析集群。