MRI-R2: Acquisition of a GPU cluster for solving n-body systems in science and engineering

MRI-R2：获取用于解决科学和工程中的多体系统问题的 GPU 集群

• 批准号: 0959454
• 负责人: Greg Walker
• 金额: $ 39.04万
• 依托单位: Vanderbilt University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-04-01 至 2013-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0959454&HistoricalAwards=false
• 关键词: MRI; R2; Acquisition; GPU; cluster

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).Graphics Processors (GPUs) are potentially a cost effective and low power vehicle for science and engineering research that requires high performance computation. The primary challenge to the use of GPUs more broadly is the difficulty in programming. Dr. Walker and a team of colleagues representing five different scientific and engineering disciplines propose to pursue research topics in each of the disciplines. By selecting important research topics which require a fundamentally similar computational algorithm for a class of problems labelled "n-body problems", the project offers opportunity for meaningful interdisciplinary collaboration across scientific domains that are normally quite distinct. Since, solutions to this class of problem are particularly well suited to GPUs, there is likelihood of advances in multiple areas of scientific interest at a fraction of alternative costs and power. Therefore NSF's Office of Cyberinfrastructure (OCI) is supporting the acquisition of the instrument.

该奖项是根据2009年《美国复苏和再投资法案》(Public Law 111-5)资助的。图形处理器(GPU)可能是一种成本效益高、功耗低的工具，适用于需要高性能计算的科学和工程研究。更广泛地使用GPU的主要挑战是编程困难。沃克博士和一个代表五个不同科学和工程学科的同事团队提议在每个学科都开展研究课题。通过选择重要的研究主题，这些主题需要对一类被标记为“n体问题”的问题进行基本相似的计算算法，该项目为跨越通常相当不同的科学领域进行有意义的跨学科合作提供了机会。由于这类问题的解决方案特别适合于图形处理器，因此有可能以替代成本和功率的一小部分在多个科学感兴趣的领域取得进展。因此，NSF的数字基础设施办公室(OCI)正在支持该仪器的收购。