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。在机构重点关注模拟和数据驱动的科学的基础上，它将使基础和转化两种类型的研究取得重大进展，并支持培训和发展。 利用HPC集群，计算机科学，工程，统计，农业和生物学的研究人员将对网络支持的系统设计，建筑环境中的热流，材料设计以及植物和动物农业的表型分析方法进行研究。这个HPC集群将增强现有的协作努力，并支持建立新的协作努力，支持计算建模和算法开发方面的高级学生培训，并支持持续的劳动力发展。该HPC系统用于Cyber-Enabled系统设计，包括计算节点和具有通用图形处理单元（GPGPU）的节点，具有足够的内存、磁盘存储和并行输入/输出功能，可支持尖端研究。该仪器将能够：（a）基础数据科学的进步，重点是不确定性下的系统设计算法、网络物理数据同化以及复杂流动和物质系统的分析，（B）三个专题领域的翻译研究：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）为本科生、研究生和研究生提供HPC培训，以培养全球参与的HPC意识员工队伍。 使用该计算机系统的研究有可能改善食品生产、能源使用和制造。该奖项反映了NSF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.