SCREMS: Scientific Computing and Mathematics at the University of Michigan

该合同将支持Nehalem节点的收购，每个节点具有12核和超过24gb的内存，Infiniband交换机和网络，以及带有Fermi gpu的NVIDIA S20系列Tesla。提议的硬件非常适合密歇根大学在纯数学和应用数学方面的先进研究。该硬件将用于研究正特征的高属代数曲线、多晶金属和陶瓷的晶界、Navier-Stokes解和精确解、稀疏数据的快速傅立叶变换、树编码和涡旋方法、形式劳伦级数和材料科学中的量子点。SCREMS硬件将允许我们丰富一系列课程的内容，包括动态系统的算法、压缩感知、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。

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.