MRI: Acquisition of a Computing Cluster for High-End Applications in Science and Engineering (CHASE)

MRI：收购用于科学与工程高端应用的计算集群 (CHASE)

• 批准号: 0421099
• 负责人: Amy Apon
• 金额: --
• 依托单位: University of Arkansas
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-08-15 至 2008-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0421099&HistoricalAwards=false
• 关键词: MRI; Acquisition; Computing; Cluster; End

This project, from an institution in an EPCoR state, seeking a high performance computing cluster for high-end applications, aims at supporting research in middleware development for large scale, data intensive applications, and several scientific disciplines including computation chemistry, material science, DNA analysis, multi-scale modeling, and networks. Research activities include: Development of middleware tools (Array Files) for managing, locating, and indexing data for large-scale out-of-core computational chemistry applications. Developments in Computational Chemistry: a parallel distributed memory system and an efficient parallel version of the Fourier Transform Coulomb (FTC) method for large-density functional calculations. Studies in material science using a density-functional theory (DFT) computational approach (nanostructures of FE and piezoelectric oxides and semiconductor nanomaterials). DNA Sequence design for biotechnology and nanotechnology applications (to accelerate search for large sets of non-crosshybridizing DNA sequences). Multi-scale modeling: computation of electronic and optical properties of nanodevices and crack propagation in alloys and metals. Others: Finite modeling of volcano and tectonic deformation, next generation networking, geospatial DB, and data mining.Broader Impact: Greatly increasing the opportunity for collaboration and training, the cluster would serve as a valuable asset for researchers and their students across several disciplines in an EPSCoR state. The DNA sequence library will be made publicly available. Moreover, the infrastructure provides momentum to areas in curriculum development associated with computational science.

该项目来自EPCoR州的一个机构，旨在为高端应用寻求高性能计算集群，旨在支持大规模数据密集型应用的中间件开发研究，以及包括计算化学，材料科学，DNA分析，多尺度建模和网络在内的多个科学学科。研究活动包括：开发中间件工具（Array Files），用于管理、定位和索引大规模核外计算化学应用程序的数据。计算化学的发展：一个并行分布式存储系统和一个高效的并行版本的傅里叶变换库仑（FTC）方法的大密度功能计算。使用密度泛函理论（DFT）计算方法进行材料科学研究（FE和压电氧化物和半导体纳米材料的纳米结构）。用于生物技术和纳米技术应用的DNA序列设计（以加速对大量非交叉杂交DNA序列的搜索）。多尺度建模：计算纳米器件的电子和光学特性以及合金和金属中的裂纹扩展。其他：火山和构造变形的有限建模，下一代网络，地理空间数据库和数据挖掘。更广泛的影响：极大地增加了合作和培训的机会，该集群将成为EPSCoR州多个学科的研究人员及其学生的宝贵资产。DNA序列文库将向公众开放。此外，该基础设施为与计算科学相关的课程开发领域提供了动力。