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

布朗大学应用数学系正在购置致力于支持数学科学研究的研究计算设备。将购买的主要物品包括：(1)针对Lustre文件系统和现有Linux集群进行了优化的高带宽低成本存储，(2)支持计算节点、存储和图形系统之间的集群以太网通信的高速网络组件，(3)用于数据分析和可视化的高端Linux客户端PC，以及(4)支持收集和分析神经棘波训练数据的小型计算机实验设备，用于生物视觉的数学建模和统计分析。计算设备将用于开展美国国家科学基金会资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等项目的研究。应用数学的研究与工程、物理和生命科学的应用密切相关。这项由美国国家科学基金会赞助的研究重点是为应用领域设计的新数学和统计方法的开发。例如，一些工程计算方法的工作是出于设计隐形飞机的需要。此外，对新的统计方法的研究对于脑科学的进步是必要的，以了解信息是如何在神经棘波训练中编码的。这项资助提供的计算机设备对于教职员工和学生创造这些新的数学和统计方法的能力至关重要。

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.