MRI-R2: Acquisition of a High Performance Computing cluster with a fast interconnect to enable shared-use, college-wide computational investigations at Hamilton College

MRI-R2：收购具有快速互连的高性能计算集群，以实现汉密尔顿学院共享使用、全校范围内的计算研究

• 批准号: 0959297
• 负责人: Adam Van Wynsberghe
• 金额: $ 17.8万
• 依托单位: Hamilton College
• 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: 2010-01-01 至 2012-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0959297&HistoricalAwards=false
• 关键词: MRI; R2; Acquisition; Performance; Computing

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). With this award from the Major Research and Instrumentation (MRI) program, Adam Van Wynsberghe, Wei-Jen Chang, Natalia V. Connolly and Nathan Goodale of Hamilton College will acquire and operate a high-performance Beowulf-style computing cluster. This computing cluster will enable faculty in the departments of chemistry, physics, biology and anthropology to employ cutting edge computational technology in their research labs and classrooms. Research projects to be investigated include studies of the eukaryote tree of life, development of new tools for the study of dark energy, studies of infrared galaxies, examination of ribonuclease catalysis and a survey of influenza neuraminidase inhibitors.A computing cluster is a group of linked computers that work in concert to achieve vastly more computational power than the individual machines. These clusters make it possible to solve complex problems in areas such as molecular dynamics simulations and statistical analysis that require extensive computational power. The computational infrastructure made available by this award will be used in sophisticated research projects and in courses across a variety of disciplines introducing numerous undergraduate students at Hamilton College to scientific computing.

该奖项是根据2009年美国复苏和再投资法案（公法111-5）资助的。汉密尔顿学院的Adam Van Wynsberghe、Wei-Jen Chang、Natalia V. Connolly和Nathan Goodale将获得并运营一个高性能的贝奥武夫式计算集群。这个计算集群将使化学系、物理系、生物系和人类学的教师能够在他们的研究实验室和教室中使用尖端的计算技术。有待调查的研究项目包括真核生物生命之树的研究、暗能量研究新工具的开发、红外星系的研究、核糖核酸酶催化的研究和流感神经氨酸酶抑制剂的调查。计算集群是一组相互连接的计算机，它们协同工作以实现比单个机器更大的计算能力。这些集群使得解决诸如分子动力学模拟和统计分析等需要广泛计算能力的领域的复杂问题成为可能。该奖项提供的计算基础设施将用于复杂的研究项目和各种学科的课程，向汉密尔顿学院的众多本科生介绍科学计算。