SCREMS: Scientific Computing and Mathematics at the University of Michigan

SCEMS：密歇根大学的科学计算和数学

• 批准号: 1026317
• 负责人: Divakar Viswanath
• 金额: $ 17.5万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 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
• 起止时间: 2010-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1026317&HistoricalAwards=false
• 关键词: SCREMS; Scientific; Computing; Mathematics; University

This award will support the acquisition of Nehalem nodes, each with twelve cores and more than 24 GB of memory, Infiniband switch and network, and an NVIDIA S20 series Tesla with Fermi GPUs. The proposed hardware is well suited to advance research in pure and applied mathematics at the University of Michigan. The hardware will be used for research on algebraic curves of high genus in positive characteristic, grain boundaries of polycrystalline metals and ceramics, Navier-Stokes solvers and exact solutions, very fast Fourier transforms for sparse data, tree codes and vortex methods, formal Laurent series, and quantum dots in materials science.The SCREMS hardware will allow us to enrich the content of a range of courses, encompassing the arithmetic of dynamical systems, compressive sensing, image processing, and scientific computing. In addition, the hardware will allow us and our students and postdocs, some of whom belong to under-represented groups, to acquire expertise in parallel programming, high performance computing, and GPU computing. Thus the SCREMS hardware will be a valuable resource for training and professional development.

该奖项将支持对Nehalem节点的收购，每个节点都有十二个核心，超过24 GB的内存，Infiniband Switch和Network，以及带有Fermi GPU的Nvidia S20系列Tesla。拟议的硬件非常适合在密歇根大学推进纯和应用数学研究。该硬件将用于研究高属的代数曲线，在积极特征，多晶金属的晶粒边界，多晶金属和内部的晶界，Navier-Stokess solvers and Sects solutions和确切的解决方案，稀疏数据，树代码和涡流方法的稀疏傅立叶变换，正式的劳伦系列，正式的劳伦系列，以及在材料上的材料范围。动态系统，压缩感测，图像处理和科学计算的算术。此外，该硬件将使我们以及我们的学生和博士后（其中一些属于代表性不足的群体）获得并行编程，高性能计算和GPU计算方面的专业知识。因此，SCREMS硬件将是培训和专业发展的宝贵资源。