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网站：数据密集的科学计算Douglas Thain和Kevin Lannon，Notre DameThis REU大学的Site Project将每年夏天将十个本科生带到圣母大学三年，以在科学计算中执行研究项目。 这些学生将在合作小组中工作，包括依赖计算的高性能计算技术和科学领域的专家。 使用先进的计算系统，学生将在科学领域工作，例如基因测序，网络可视化，粒子物理和天文学。 学生将使用计算工具并提出科学成果来获得小组工作的经验，这将有助于他们为进入计算科学的职业做好准备，已成为整个科学学科的科学发现的重要组成部分。新型算法与大型基础架构相结合，有可能将模拟和数据分析任务的功能乘以许多数量级。但是，我们当前的教育模型并不符合进步的科学计算：计算机科学专业的学生对科学应用的接触程度太少，而物理科学专业的学生对计算技术的影响太少。为了解决这个问题，我们在数据密集型科学计算（DISC）中提出了一个REU站点，该站点将使计算机科学，物理科学和其他跨学科专业的本科生聚集在一起。我们的目标是培训所有参与者的协作技术，以便他们在计算技术和物理科学领域都获得经验，并适合其背景。为了实现这一目标，我们已经组建了一个来自三个不同领域（计算机科学，物理学和生物科学）的教师团队，这些领域已经组成了一系列积极的合作。巴黎圣母院研究计算中心（CRC）提供了为学生和教师提供的资源，该中心提供了大规模的计算，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。