MRI: Acquisition of the ISTeC High Performance Computing Infrastructure for Science and Engineering Research Projects

MRI：收购 ISTeC 高性能计算基础设施用于科学和工程研究项目

• 批准号: 0923386
• 负责人: Howard Siegel
• 金额: $ 62.73万
• 依托单位: Colorado State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0923386&HistoricalAwards=false
• 关键词: MRI; Acquisition; ISTeC; Performance; Computing

Proposal #: CNS 09-23386PI(s): Siegel, Howard Jay Burns, Patrick J.Institution: Colorado State University Title: MRI/Acq.: ISTeC High Performance Computing Infrastructure for Science and Eng ResearchThis award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).Project Proposed:This project, acquiring High Performance Computing (HPC) instrumentation, aims to support much larger and more complex problems in science and engineering (especially for data intensive applications), add greater physical fidelity to existing models, facilitate application of HPC to new areas of research and discovery, and support training to attract new researchers. Filling the current void in cyberinfrastructure (CI) resources, the project is expected to change the culture of discovery at the institution, elevating HPC to the level of central infrastructure. Advanced networking will facilitate the interaction of Tier-3 system with other systems, and enhance researchers? abilities to utilize Tiers 1 and 2 systems worldwide. The principal focus of the system will be data- (and often compute-) intensive applications in NSF funded research areas, such as design of extreme ultraviolet lasers, weather forecasting, computational physics, climate change, atmospheric modeling, bioinformatics, network traffic analysis, robotics, computational electromagnetics, remote sensing, robust resource allocation, and magnetic materials. Tier -3 system will expand the domain and range of computations, allowing problems of greater fidelity including multi-physics algorithms and much finer spatial and temporal resolutions. The work is carried out with CSU-Pueblo, a Hispanic-serving institution, as full partner.Broader Impacts: The existing Tier-3 will share cycles of different architectures for educational purposes: workshops, seminars, expertise via affinity groups, instructors, courses, and students. The institution, a large producer of STEM graduates, will integrate HPC into the STEM curricula and K-12 teacher training programs with emphasis on inclusion of women and minorities. Member companies of the ISTeC Industrial Advisory Council have expressed interest in participating in the activities. Existing courses support the activity through teams consisting of application experts from diverse disciplines (breadth), and mathematicians (algorithms) and computists (mapping applications and algorithms to parallel architectures) (depth).

建议#：CNS 09-23386PI(S)：Siegel，Howard Jay Burns，Patrick J.机构：科罗拉多州立大学标题：mri/Acq.：ISTeC用于科学和工程研究的高性能计算基础设施该奖项由2009年美国恢复和再投资法案(公共法律第111-5号)资助。建议的项目：该项目，获取高性能计算(HPC)仪器，旨在支持科学和工程中更大和更复杂的问题(特别是对于数据密集型应用)，增加现有模型的物理保真度，促进将HPC应用于新的研究和发现领域，并支持培训以吸引新的研究人员。该项目填补了目前网络基础设施(CI)资源的空白，预计将改变该机构的发现文化，将HPC提升到中央基础设施的水平。先进的网络将促进Tier-3系统与其他系统的交互，并提高研究人员？能够在全球范围内利用第1层和第2层系统。该系统的主要重点将是NSF资助的研究领域中的数据(通常是计算机)密集型应用，如极端紫外线激光设计、天气预报、计算物理、气候变化、大气建模、生物信息学、网络流量分析、机器人学、计算电磁学、遥感、稳健的资源分配和磁性材料。第三层系统将扩大计算的领域和范围，允许更高保真度的问题，包括多物理算法和更精细的空间和时间分辨率。这项工作是与CSU-Pueblo作为完全合作伙伴进行的，CSU-Pueblo是一家服务于西班牙裔的机构。广泛的影响：现有的Tier-3将共享不同架构的周期，用于教育目的：研讨会、研讨会，通过亲和力小组、教师、课程和学生提供专业知识。该机构是STEM毕业生的主要生产者，将把HPC纳入STEM课程和K-12教师培训计划，重点是纳入妇女和少数族裔。ISTeC工业咨询理事会的成员公司已表示有兴趣参加这些活动。现有课程通过由来自不同学科的应用专家(广度)、数学家(算法)和计算学家(将应用程序和算法映射到并行体系结构)(深度)组成的小组来支持这项活动。