MRI: Acquisition of a Shared High-Performance Computing System for Cyber-Enabled System Design

该仪器是一个新的高性能计算（HPC）平台，旨在通过支持来自15个部门的32名研究人员的研究来加速知识发现。它将以模拟和数据驱动科学为机构重点，使基础研究和转化研究两种类型的研究取得重大进展，并支持培训和发展。利用高性能计算集群，计算机科学、工程学、统计学、农业和生物学的研究人员将对网络系统设计、建筑环境中的热流、材料设计以及动植物农业的表型方法进行研究。这个HPC集群将加强现有的协作努力，并使建立新的协作努力成为可能，支持高级学生在计算建模和算法开发方面的培训，并允许持续的劳动力发展。这种用于网络支持系统设计的HPC系统包括计算节点和带有通用图形处理单元（gpgpu）的节点的混合，具有足够的内存、磁盘存储和并行输入/输出能力，以支持前沿研究。该工具将实现：(a)基础数据科学的进步，重点是不确定性下系统设计的算法，网络物理数据同化，以及复杂流动和材料系统的分析，(b)三个主题领域的翻译研究：能源，材料和制造，以及精准农业，重点是“设计材料”，智能电网，更安静的飞机和风力涡轮机，以及精密动物科学，以及(c)对本科生，研究生和研究生的高性能计算培训，为全球参与，高性能计算意识的劳动力做好准备。使用这种计算机系统的研究有可能改善食品生产、能源使用和制造业。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

This instrument, a new high-performance computing (HPC) platform, aims to accelerate knowledge discovery by supporting the research of 32 investigators from 15 departments. Building upon an institutional focus on simulation- and data-driven science, it will enable significant advances in two types of research, foundational and translational, and support training and development. Leveraging the HPC cluster, investigators in computer science, engineering, statistics, agriculture, and biology will conduct research on cyber-enabled systems design, thermal flows in the built environment, the design of materials, and phenotyping methods for plant and animal agriculture. This HPC cluster will enhance existing collaborative efforts and enable building new ones, support advanced student training in computational modeling and algorithm development, and allow sustained workforce development. This HPC system for Cyber-Enabled System Design includes a mix of computing nodes and nodes with general-purpose graphics processing units (GPGPUs), with sufficient memory, disk storage and parallel input/output capability to support cutting-edge research. The instrument will enable: (a) foundational data science advances with a focus on algorithms for system design under uncertainty, for cyber-physical data assimilation, and analysis of complex flow and material systems, (b) translation research in three thematic areas: energy, materials and manufacturing, and precision agriculture, with a focus on “materials by design”, smart power grid, quieter aircraft and wind turbines, and precision animal science, and (c) HPC training for undergraduate, graduate, and postgraduate students, to prepare a globally engaged, HPC aware workforce. Research using this computer system has the potential to improve food production, energy usage and manufacturing.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.