REU Site: Interdisciplinary Program in High Performance Computing
REU Site: Interdisciplinary Program in High Performance Computing
批准号:
1460652
负责人:
Nagaraj Neerchal
金额:
$50.0万
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
项目状态:
已结题
起止时间:
2015-08-01 至 2019-07-31
中文摘要
REU网站:马里兰大学巴尔的摩县(UMBC)数学与统计系高性能计算跨学科项目是一个为期八周的住宿暑期项目,面向主修数学、统计学或计算机科学的本科生。该REU网站使用的活动可分为三个主要组成部分,以培养未来劳动力的技能:(1)证书课程的结构化培训通过讲座和ta支持的计算机实验室,使用Linux、C、MPI、MATLAB和r等特定工具,教授高性能计算的基本技能。(2)科学、统计和并行计算的技能应用于由工业、政府机构或数学和统计以外的部门的科学家提出的跨学科研究项目。(3)教学和研究由一整套高度整合的专业发展活动支持,包括团队工作经验、演讲技巧(海报、口头、项目更新和“电梯游说”)、写作技巧(摘要、网页和技术报告)、科学专业诚信讨论、对当地雇主或计算中心(如NSA、NASA或NIH)的专题实地考察。关于研究生院申请和GRE准备课程的信息,以及与教师、研究生和项目访客进行非正式接触的机会。项目的各个方面都由学生团队进行,这是参与者从项目中获得的最重要的经验之一。科学、统计和并行计算技能对21世纪的劳动力至关重要。同样重要的是在团队中进行互动和沟通的技能,以及从事跨学科项目的技能。这个REU网站将在教师导师和研究生助理的指导下提供一个综合的项目,整合这些元素,他们中的许多人通过跨学科研究和咨询中心(circ.umc.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.umc.edu)中的最先进的分布式内存集群提供。它目前的集群maya有240个节点和现代多核cpu,包括混合节点和为科学计算设计的最先进的大规模并行gpu,以及尖端的60核英特尔Phi加速器。REU站点的参与者将受益于完整的专业开发经验,包括科学、统计、并行计算、跨学科研究项目和专业技能的综合开发。这些技能对未来的劳动力和美国的国家竞争力至关重要。该站点由国防部与NSF REU项目合作支持。
英文摘要
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.
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REU Site: Interdisciplinary Program in High Performance Computing
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批准号:0851749
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项目类别:Standard Grant
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资助金额:$19.43万
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财政年份:2009
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负责人:Nagaraj Neerchal
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依托单位:
UMBC Noyce Scholars Program
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批准号:0833316
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项目类别:Continuing Grant
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资助金额:$75.0万
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财政年份:2008
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负责人:Nagaraj Neerchal
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