MRI: Acquisition of a High Performance Computing Environment for Advancement of Computational Science Research and Education

该项目收购了一个涵盖计算科学领域的高性能计算（HPC）集群，旨在支持广泛的当前和新兴研究和教育活动，包括：1。光谱图像处理新方法的开发和测试; 2.磁性流体流动的真实模拟，以模拟磁性药物靶向和其他生物医学应用; 3. DNA序列数据的功能基因组学分析;计算识别与蛋白质结合的配体; 5.模拟化学反应途径在空气污染化学中的重要性; 6.开发模拟审查系统，作为规避审查的试验平台; 7.自动机器识别惯用和欺骗性语言; 8.从地震数据推断地下海洋波; 9.海岸线演变建模与仿真; 10.随机动力学的建模、仿真和控制。正如项目的范围和多样性所示，HPC的使用是该机构整体研究活动的一个组成部分。指定仪器以满足参与研究者的关键计算需求？研究计划和项目的数量和多样性，预计将确保充分和有效地利用系统收购，其中包括一组相同的节点与infiniband连接的低延迟，高度并行计算，以及一个大内存与共享文件服务器都组织为一个单一的，集成的系统，将作为一个资源和重点HPC计算科学的教师，他们的研究学生和其他机构的合作者。因此，所获得的HPC能力将利用和放大这些各自研究计划的优点。获得与当前和未来的挑战相匹配的计算能力，预计将在将每一项研究推向其各自领域的前沿方面具有变革性。此外，这些进展还可应用于伙伴学科和相关技术发展。通过提供一个共同的焦点，HPC设备促进了由来自不同学科的研究人员组成的跨领域、多学科和综合计算研究小组的联合（包括计算机科学、数学科学、生物科学、化学、地球和环境科学、语言学、和社会科学），以及创造一个计算科学的学习环境，包括本科生和研究生。

This project, acquiring a high-performance computing (HPC) cluster covering areas in computational science, aims to support a wide range of current and emerging investigations and educational activities that include: 1. Development and testing of novel approaches for spectral image processing; 2. Realistic simulation of magnetic fluid flows to model magnetic drug targeting and other biomedical applications; 3. Functional genomics analysis of DNA sequence data; 4. Computational identification of ligands bind to proteins; 5. Simulation of chemical reaction pathways important in the chemistry of air pollution; 6. Development of simulated censorship systems as a test bed for censorship circumvention; 7. Automatic machine recognition of idiomatic and deceptive language; 8. Inference of subsurface ocean waves from seismic data; 9. Modeling and simulation shoreline evolution; and 10. Modeling, simulation and control of stochastic dynamics.As shown by the extent and diversity of the projects, the use of HPC is an integral part of the overall research activity at the institution. The instrumentation is specified to meet the critical computing needs of the participating investigators? research programs and the number and diversity of projects included is expected to ensure full and efficient use of the system to be acquired which includes a set of identical nodes with infiniband connectivity for low-latency, highly parallel computing, as well as a large-memory with a shared file server all organized as a single, integrated system that will serve as a resource and focal point for HPC computational science for faculty, their research students, and collaborators at other institutions. Thus, the HPC capacity acquired will leverage and magnify the merit in each of these respective research programs. The acquisition of computing capacity, not otherwise available, that matches current and future challenges, is expected to be transformative in moving each line of research to the leading-edge of its respective field. Moreover, these advances have applications to partner disciplines and related technological developments. By providing a common focus, the HPC equipment stimulates the coalescence of a cross-cutting, multidisciplinary, and integrated Computational Research Group, composed of researchers from various disciplines (including computer science, mathematical sciences, biological sciences, chemistry, earth and environmental sciences, linguistics, and social sciences) as well as the creation of a computational science learning environment that includes undergraduate and graduate students.