Scientific Computing Research Environments for the Mathematical Sciences (SCREMS): Enrichment and Integration of Networked Computing Resources for the Mathematical Sciences

数学科学的科学计算研究环境（SCREMS）：数学科学网络计算资源的丰富和集成

• 批准号: 0421913
• 负责人: Donald McClure
• 金额: $ 9.3万
• 依托单位: Brown University
• 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: 2004-09-01 至 2006-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0421913&HistoricalAwards=false
• 关键词: Scientific; Computing; Research; Environments; Mathematical

ABSTRACTThe Division of Applied Mathematics at Brown University is acquiring research computing equipment dedicated to support of research in the mathematical sciences. The main items to be purchased include: (1) high-bandwidth low-cost storage optimized for use with the Lustre file system and existing Linux clusters, (2) high-speed network components to support trunked-ethernet communications between the compute nodes, storage, and graphics systems, (3) high-end Linux client PCs for data analysis and visualization, and (4) a small computer experimental facility to support collection and analysis of neural spike-train data for the mathematical modeling and statistical analysis of biological vision. The computing equipment will be used to carry out the research of NSF-sponsored projects in numerical methods for partial differential equations, mathematical modeling in brain science, and statistical procedures in experimental neuroscience. The research in applied mathematics is closely tied to applications in engineering, physics, and the life sciences. The NSF-sponsored research focuses on development of new mathematical and statistical methods designed for the application areas. For example, some of the work on computational methods for engineering is motivated by the need to design stealth aircraft. Also, the research on new statistical methods is needed for the advancement of brain science, to understand how information is encoded in neural spike trains. The computer equipment provided by this grant is crucial for the ability of faculty and students to create these new mathematical and statistical methodologies.

摘要布朗大学应用数学系正在购买专用于支持数学科学研究的研究计算设备。 采购的主要项目包括：（1）高带宽、低成本的存储，优化用于Lustre文件系统和现有的Linux集群，（2）高速网络组件，支持计算节点、存储和图形系统之间的集群以太网通信，（3）高端Linux客户端PC，用于数据分析和可视化，以及（4）一个小型计算机实验设备，以支持收集和分析用于生物视觉的数学建模和统计分析的神经尖峰序列数据。 计算设备将用于开展NSF赞助的偏微分方程数值方法，脑科学数学建模和实验神经科学统计程序项目的研究。应用数学的研究与工程、物理和生命科学的应用密切相关。 NSF赞助的研究重点是为应用领域设计新的数学和统计方法。 例如，工程计算方法的一些工作是出于设计隐形飞机的需要。 此外，脑科学的发展需要新的统计方法的研究，以了解信息是如何编码在神经尖峰序列中的。 该补助金提供的计算机设备是教师和学生创造这些新的数学和统计方法的能力至关重要。