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MRI: Acquisition of a Distributed Computing Cluster for Multidisciplinary Research, Research Training, and Education at Austin Peay State University

MRI: Acquisition of a Distributed Computing Cluster for Multidisciplinary Research, Research Training, and Education at Austin Peay State University
MRI:奥斯汀皮伊州立大学收购分布式计算集群,用于多学科研究、研究培训和教育
批准号:
0722890
负责人:
B. Alex King III
金额:
$0.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-09-01 至 2011-08-31

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中文摘要
翻译
提案编号:CNS 07-22890PI(s): King III, B. Alex Taylor, Jamie r .机构:Austin Peay State University Clarksville, TN 37044-0001标题:MRI/Acq。多学科研究、rch培训和教育的分布式计算集群项目建议:该项目,获得一个多功能高性能计算集群,将使多学科研究,服务物理和天文学,化学,计算机科学和信息技术,以及数学。所要求的设备包括一个计算机集群(16个节点,每个节点有两个双核处理器)、三个控制节点(1个主节点和两个I/O节点)、一个RAID存储子系统、一个磁带驱动器以及必要的编译器和计算软件。研究项目包括:。大型天文数据库的数据挖掘;高次谐波的相干合成。大分子非共价组装的认识。并行技术在传统应用数学方法中的应用。张拉桁架系统(张拉整体)。更广泛的影响:该仪器为本科生研究创造了新的机会,有助于培养本科生使用高性能集群技术。本科毕业项目将在计算与数值方法和计算机科学方向进行。该设施可以使学生在应用科学方面进行研究生学习。
英文摘要
Proposal #: CNS 07-22890PI(s): King III, B. Alex Taylor, Jamie R.Institution: Austin Peay State University Clarksville, TN 37044-0001Title: MRI/Acq.: Distributed Computing Cluster for Multidisciplinary Research, Rsch Training, and EducProject Proposed:This project, acquiring a versatile high-performance computing cluster that will enable multi-disciplinary research, services physics and astronomy, chemistry, computer science and information technology, and mathematics. The requested equipment consists of a computer cluster (16 nodes, each two dual-core processors), three control nodes (1 master and two I/O nodes), a RAID storage subsystem, a tape drive, and necessary compilers and computational software. Research projects involve:. Data mining of large astronomical databases,. Coherent synthesis of high-harmonics,. Understanding of noncovalent assembly of macromolecules.. Application of parallel techniques to traditional applied mathematical methods, and. Tension supported truss systems (tensegrities).Broader Impacts: The instrument creates new opportunities for undergraduate research, contributing to train undergraduates in the use of high-performance cluster technology. Undergraduate capstone projects will be directed in Computational and Numerical Methods and Computer Science. The facility might enable students to perform graduate studies in applied sciences.
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