REU Site: Data Intensive Scientific Computing

REU网站：数据密集型科学计算道格拉斯·塞恩和凯文·兰农，圣母大学这个REU网站项目将在三年的时间里每年夏天带10名本科生到圣母大学进行科学计算方面的研究项目。这些学生将在包括高性能计算技术和依赖计算的科学领域的专家在内的协作小组中工作。使用先进的计算系统，学生将在科学领域工作，如基因测序，网络可视化，粒子物理和天文学。学生将获得小组合作、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领域做好准备。计算已经成为跨科学学科的科学发现的重要组成部分。与大规模基础设施相结合的新算法有可能将模拟和数据分析任务的能力提高许多数量级。然而，我们目前的教育模式与先进的科学计算并不一致：计算机科学专业的学生接触科学应用的机会太少，而物理科学专业的学生接触计算技术的机会太少。为了解决这个问题，我们建议在数据密集型科学计算（DISC）中建立一个REU网站，将计算机科学、物理科学和其他跨学科专业的本科生聚集在一起。我们的目标是培训协作技术的所有参与者，以便他们获得计算技术和物理科学领域的经验，根据他们的背景。为了实现这一目标，我们从三个不同的领域（计算机科学、物理学和生物科学）组建了一个团队，这些领域已经形成了一套活跃的合作关系。参与研究的学生和教师的资源将由圣母大学研究计算中心（CRC）提供，该中心提供大规模的计算、存储和通信设施。每个参与者都可以访问一个大型共享集群、一个高性能并行存储系统和一个数据分析集群。

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.