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Nehalem节点的收购，每个节点具有12个核心和超过24 GB的内存，Infiniband交换机和网络，以及配备Fermi GPU的NVIDIA S20系列特斯拉。建议的硬件非常适合在密歇根大学的纯数学和应用数学的研究。该硬件将用于研究正特征的高亏格代数曲线、多晶金属和陶瓷的晶界、Navier-Stokes解算器和精确解、稀疏数据的快速傅里叶变换、树码和涡旋方法、形式劳伦级数以及材料科学中的量子点。SCREMS硬件将使我们能够丰富一系列课程的内容，包括动力系统的算法、压缩传感、图像处理和科学计算。此外，硬件将允许我们和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硬件将成为培训和专业发展的宝贵资源。