II-New: A Compute and Storage Cluster for Multidisciplinary Research on Computer Systems and Scientific Simulations

该项目由一个科学计算研究人员，计算机系统研究人员和计算机科学教育工作者组成的团队进行。 建立了一个先进的计算和存储集群，以实现对计算机系统和科学模拟的多学科研究。该集群由一个用于科学计算的GPGPU处理器的稳定计算分区和一个用于计算机系统研究的实验存储分区组成。奥本大学在计算原子物理、气候和生态系统建模以及计算机科学领域的领导小组计划在他们的研究中使用这种计算基础设施。该研究基础设施加强了对并行编程模型，并行I/O，文件系统，存储和数据密集型分析的计算机科学研究。 此外，它还培养了计算气候建模，计算原子物理学和应用计算机科学的新的多学科研究项目。 此外，它允许更好的教学方法和教育活动，以吸引更多的学生，特别是来自代表性不足的群体，从事计算机职业。 该项目的研究预计将产生优化的科学代码，细粒度的生态系统模拟和准确的环境变化预测。 研究成果将发表在计算和计算机科学期刊和国际会议上。该项目的开源软件包将被发布用于社区服务。

This project is carried out by a team of scientific computing researchers, computer systems researchers, and computer science educators. A cutting-edge compute and storage cluster is built to enable multidisciplinary research on computer systems and scientific simulations. This cluster consists of a stable compute partition with GPGPU processors for scientific computing and an experimental storage partition for computer systems research. Leading groups at Auburn University in the areas of computational atomic physics, climate and ecosystem modeling, and computer science plan to use this computing infrastructure in their research. This research infrastructure strengthens computer science research on parallel programming models, parallel I/O, file systems, storage, and data-intensive analytics. In addition, it cultivates new multidisciplinary research projects on computational climate modeling, computational atomic physics, and applied computer science. Furthermore, it allows better pedagogical methods and education activities to attract more students, particularly from underrepresented groups, for computing careers. The project's research is expected to result in optimized scientific codes, fine-grained ecosystem simulations, and accurate environmental change predictions. Research results will be published in computational and computer science journals and international conferences. Open source software packages from this project will be released for community services.