MRI: Acquisition of a Balanced Environment for Simulation

MRI：获取模拟的平衡环境

• 批准号: 1126125
• 负责人: Christopher Carothers
• 金额: $ 265.76万
• 依托单位: Rensselaer Polytechnic Institute
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1126125&HistoricalAwards=false
• 关键词: MRI; Acquisition; Balanced; Environment; Simulation

This Major Research Instrumentation grant supports acquisition of a cyberinstrument at Rensselaer Polytechnic Institute which combines a next generation massively parallel computer with integrated large-scale high-performance storage and visualization components. The cyberinstrument will provide a well-balanced massively parallel computing platform capable of supporting cutting edge research across a wide range of disciplines that require both data and compute intensive simulations and visualizations. The cyberinstrument will accelerate ongoing data-intensive computational research, the development of new highly scalable algorithms, and the education of the next generation of high-performance computing researchers and practitioners at Rensselaer. The core of the cyberinstrument will be located at Rensselaer's Computational Center for Nanotechnology Innovations (CCNI) which supports over 600 users (researchers and students) from more than 50 universities, national laboratories, industrial research centers and small businesses. The cyberinstrument will allow that user community to more strongly focus on the development of the simulation tools needed for the future high core count massively parallel computers and will accelerate new areas of data intensive computing research. This outstanding balanced system will attract researchers from universities across the United States. Specific emphasis will be placed on attracting researchers from under-served groups.

这项主要研究仪器拨款支持伦斯勒理工学院购买一台网络仪器，该仪器将下一代大规模并行计算机与集成的大规模高性能存储和可视化组件相结合。网络仪器将提供一个平衡良好的大规模并行计算平台，能够支持需要数据和计算密集型模拟和可视化的广泛学科的前沿研究。网络仪器将加速正在进行的数据密集型计算研究，开发新的高度可扩展算法，以及伦斯勒下一代高性能计算研究人员和从业人员的教育。网络仪器的核心将位于伦斯勒纳米技术创新计算中心（CCNI），该中心为来自50多所大学、国家实验室、工业研究中心和小型企业的600多名用户（研究人员和学生）提供支持。网络仪器将允许用户社区更加专注于未来高核数大规模并行计算机所需的模拟工具的开发，并将加速数据密集型计算研究的新领域。这个杰出的平衡系统将吸引来自美国各地大学的研究人员。将特别强调吸引来自服务不足群体的研究人员。