REU Site: Interdisciplinary Program in High Performance Computing

REU 网站：高性能计算跨学科项目

• 批准号: 1460652
• 负责人: Nagaraj Neerchal
• 金额: $ 50万
• 依托单位: University of Maryland Baltimore County
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-08-01 至 2019-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1460652&HistoricalAwards=false
• 关键词: REU; Site; Interdisciplinary; Program; Performance

The REU Site: Interdisciplinary Program in High Performance Computing in the Department of Mathematics and Statistics at the University of Maryland, Baltimore County (UMBC) is an eight-week residential summer program for undergraduate students majoring in mathematics, statistics, or computer science. This REU Site uses activities that can be grouped into three principal components to develop skills of the future workforce: (1) Structured training in a certificate program teaches fundamental skills in high performance computing through lectures and TA-supported computer labs, with specific tools of Linux, C, MPI, MATLAB, and R. (2) The skills in scientific, statistical, and parallel computing are applied to interdisciplinary research projects posed by scientists from industry, government agencies, or departments outside of mathematics and statistics. (3) The teaching and research are supported by a complete set of highly integrated professional development activities, including team work experience, presentation skills (poster, oral, project update, and 'elevator pitch'), writing skills (abstracts, webpage, and technical report), discussion of professional integrity in the sciences, topical field trips to local employers or computing centers such as the NSA, NASA, or NIH, information on graduate school application and a GRE preparation course, and opportunities for informal contact with faculty, graduate students, and visitors to the program. All aspects of the program are conducted by student teams, which is one of the most important experiences participants take away from the program. Scientific, statistical, and parallel computing skills are critical to the 21st century workforce. Equally crucial are skills in interacting and communicating in teams, and working on interdisciplinary projects. This REU Site will provide a comprehensive program integrating these elements under the guidance of the faculty mentors and graduate assistants, many of whom have extensive experience with client-focused interdisciplinary consulting through the Center for Interdisciplinary Research and Consulting (circ.umbc.edu). The high performance computing environment will be provided by a state-of-the-art distributed-memory cluster in the NSF-supported UMBC High Performance Computing Facility (hpcf.umbc.edu). Its current cluster maya has 240 nodes with modern multi-core CPUs and includes hybrid nodes with state-of-the-art massively parallel GPUs designed for scientific computing as well as cutting-edge 60-core Intel Phi accelerators. The REU Site participants will benefit from a complete professional development experience involving scientific, statistical, and parallel computing, interdisciplinary research projects, and integrated development of professional skills. These skills are of vital importance to the workforce of tomorrow and for the national competitiveness of the United States. The site is supported by the Department of Defense in partnership with the NSF REU program.

REU网站：巴尔的摩县马里兰州数学和统计系高性能计算的跨学科计划（UMBC）是一项为期八周的住院夏季夏季计划，针对数学，统计学，统计学或计算机科学专业的本科生。 此REU网站使用可以将可以分为三个主要组成部分的活动来发展未来劳动力的技能：（1）证书计划中的结构化培训教授通过讲座和TA-TA支持的计算机实验室进行高性能计算方面的基本技能，并通过Linux，C，MPI，Matlab和R的特定工具进行了统计学的统计学训练，并进行了统计学的研究。数学和统计数据以外的行业，政府机构或部门。 (3) The teaching and research are supported by a complete set of highly integrated professional development activities, including team work experience, presentation skills (poster, oral, project update, and 'elevator pitch'), writing skills (abstracts, webpage, and technical report), discussion of professional integrity in the sciences, topical field trips to local employers or computing centers such as the NSA, NASA, or NIH, information on graduate school application and a GRE preparation course, and与教师，研究生和该计划的访客进行非正式接触的机会。 该计划的所有方面都是由学生团队进行的，这是参与者从计划中获得的最重要的经历之一。 科学，统计和并行计算技能对21世纪的劳动力至关重要。 同样至关重要的是在团队中进行互动和交流以及从事跨学科项目的技能。 该REU网站将在教师导师和研究生助理的指导下提供一项全面的计划，该计划将这些要素整合在一起，其中许多人通过跨学科研究与咨询中心（Circ.umbc.edu）在以客户为中心的跨学科咨询方面拥有丰富的经验。 高性能计算环境将由NSF支持的UMBC高性能计算设施（HPCF.UMBC.EDU）中的最先进的分布式内存群集提供。 其当前的群集Maya具有240个带有现代多核CPU的节点，其中包括具有最先进的大规模平行GPU的混合节点，设计用于科学计算以及尖端的60核Intel Phi加速器。 REU网站参与者将从涉及科学，统计和并行计算，跨学科研究项目以及专业技能综合发展的完整专业发展经验中受益。 这些技能对于明天的劳动力和美国的国家竞争力至关重要。 该网站由国防部与NSF REU计划合作支持。