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MRI: Acquisition of a PC Cluster, High Performance Pan American Cluster (HiPAC)

MRI: Acquisition of a PC Cluster, High Performance Pan American Cluster (HiPAC)
MRI:收购 PC 集群、高性能泛美集群 (HiPAC)
批准号:
1040430
负责人:
Yul Chu
金额:
$50.26万
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
项目状态:
已结题
起止时间:
2010-09-15 至 2013-08-31

项目摘要

项目成果

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中文摘要
翻译
提案编号:CNS 10- 40430 PI(s):Chu,Jul; Ahn,Seokyoung; Cunningham,Mark; Kumar,Sanjeev; Yoon,Jasang机构:德克萨斯大学-泛美分校标题:MRI:收购PC集群,高性能泛美集群(HiPAC)项目建议:该项目,构建用于数值和网络模拟的高性能并行计算仪器,旨在支持以下研究项目:-减少单处理器和多处理器系统的模拟时间;- 使用多核集群的并行稀疏矩阵解决方案,在模拟和数字超大规模集成电路系统中的应用; -生物化学计算,并行数值模拟;-未来互联网交换机架构模拟和协议验证;-研究粉末注射成型应用中聚合物基粘合剂系统中纳米颗粒的混合行为;和-生物分子活性位点的量子化学模拟。拟议的集群,称为高性能泛美集群(HiPAC),将由多名科学家在得克萨斯大学泛美(UTPA),主要是一个西班牙裔的机构。更广泛的影响:该工具使研究在少数民族服务机构,其中包含88%的西班牙裔和63%的女性人口。该项目涉及多核集群技术的学生培训,包括软件和硬件并行化。此外,学生培训鼓励本科生参加研究生学习。
英文摘要
Proposal #: CNS 10-40430PI(s): Chu, Jul; Ahn, Seokyoung; Cunningham, Mark; Kumar, Sanjeev; Yoon, Jasang Institution: University of Texas - Pan AmericanTitle: MRI: Acquisition of a PC Cluster, High Performance Pan American Cluster (HiPAC)Project Proposed:This project, building a high-performance parallel computing instrument for numerical and network simulations, aims to support the following research projects:- Reducing simulation time for uniprocessor and multiprocessor systems;- Parallel sparse matrix solution using multi-core cluster with applications in analogue and digital VLSI systems; - Biochemical computations with parallel numerical simulations;- Future Internet switch architecture simulations and protocol validations;- Investigation of the mixing behavior of the nano-particles in a polymer-based binder system for powder injection molding applications; and - Quantum chemistry simulations on biomolecular active sites.The proposed cluster, called High Performance Pan American Cluster (HiPAC), will be used by multiple scientists at the University of Texas-Pan American (UTPA), a predominantly a Hispanic institution. Broader Impacts:The instrument enables research in a minority serving institution that contains an 88% Hispanic and a 63% female population. The project involves student training in multi-core cluster technologies, including software and hardware parallelization. Moreover, student training encourages undergraduates to join graduate studies.
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