MRI: Acquisition of a Complete High-Performance Modeling and Visualization System for Research in Mathematical Biology and Mathematical Geosciences

北卡罗来纳农业与技术大学(NCA&Amp；T)是北卡罗来纳州最大的HBCU，它将获得并运营一个高性能的建模和可视化系统，以支持数学生物学和数学地球科学系的积极研究和培训计划，这些教职员工来自能源和环境系统、物理、数学、化学和生物学系，研究项目包括风暴和天气预报；流行病学和系统生物学；蛋白质途径和血液凝固；以及基于生物的环境污染物响应模型。该系统将包括至少16个计算节点、96TB的存储空间和一面瓷砖显示墙。该系统将支持数学生物学和数学地球科学的工作，包括整合研究活动和学生发展，从而产生更广泛的影响。它将极大地推动NCA&amp；T在数学和计算建模以及科学可视化方面的研究和培训活动。该项目将综合研究努力，将学生的研究参与与利用HPC建模和可视化系统的实践经验相结合，以增加对更多学生及其教师导师(包括本科生)的接触。该系统将支持的项目的交叉性将通过综合课堂学习得到加强。

North Carolina Agricultural and Technical University (NCA&T), the largest HBCU in North Carolina, will acquire and operate a high performance modeling and visualization system to support active research and training programs in mathematical biology and mathematical geosciences involving faculty from the departments of Energy and Environmental Systems, Physics, Mathematics, Chemistry and Biology with research programs in storm and weather prediction; epidemiology and system biology; protein pathways and blood coagulation; and biological based response models of environmental pollutants. The system will include at least 16 compute nodes, 96 TB of storage and a tiled display wall.The system will enable broader impacts by supporting work in mathematical biology and mathematical geosciences including the integration of research activities and student development. It will significantly advance research and training activities in mathematical and computational modeling and scientific visualization at NCA&T. The program will synthesize research efforts that link student research engagement with hands-on experience of utilizing the HPC modeling and visualization system to increase the exposure to a larger number of the students and their faculty advisors, including undergraduate students. The cross-cutting nature of the projects that will be supported on the system will be reinforced with integrative classroom learning.