CC* Compute: A Balanced Cluster For Science and Engineering in the Great Lakes Region

CC* 计算：五大湖地区科学与工程的平衡集群

• 批准号: 2126229
• 负责人: Philip Chang
• 金额: $ 40万
• 依托单位: University of Wisconsin-Milwaukee
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-10-01 至 2023-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2126229&HistoricalAwards=false
• 关键词: CC; Compute; Balanced; Cluster; Science

The University of Wisconsin-Milwaukee (UWM) is building and deploying a modern, high-performance, high-throughput, and compute-on-demand cluster that balances the growing but distinct research needs for computing, storage, and memory in the diverse areas of astronomy/astrophysics, atmospheric sciences, biomedical sciences, engineering, freshwater sciences, physics, and other fields. This cluster enables UWM researchers to push the computational frontiers of their research, create cutting-edge computational tools, and scale their computations to run on national resources such as XSEDE. The system is also integrated into the Open Science Grid to enable full utilization of idle computing resources to enhance local, regional, and national scientific computational capabilities. Finally, the cluster enhances undergraduate and graduate education and research by providing superior access to large-scale computing resources for student research and computationally intensive classes.The cluster has a total system capacity of 1,568 cores, 9 TB of RAM, 504 TB of storage, and 27K GPU cores.The cluster is comprised of a login/storage server, eight compute nodes, two high-memory nodes, two GPU nodes, a 100 Gbps InfiniBand interconnect, and a 10 Gbps Ethernet network. The nodes are locally accessible to UWM researchers, available to external researchers through the Open Science Grid, and secured with the best practices in cybersecurity and monitoring. The cluster achieves a balance between large CPU counts, GPU cores, large memory, and storage to provide a flexible and responsive resource for a diverse group of researchers to perform their complex computational analyses.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.

威斯康星大学密尔沃基分校（UWM）正在构建和部署一个现代化、高性能、高吞吐量和按需计算的集群，以平衡天文学/天体物理学、大气科学、生物医学科学、工程、淡水科学、物理学和其他领域对计算、存储和内存不断增长但不同的研究需求。该集群使UWM研究人员能够推动他们研究的计算前沿，创建尖端的计算工具，并扩展他们的计算以在国家资源（如XSEDE）上运行。该系统还集成到开放科学网格中，以充分利用空闲的计算资源，增强本地、区域和国家的科学计算能力。最后，通过为学生研究和计算密集型课程提供优越的大规模计算资源，集群增强了本科和研究生的教育和研究。该集群的系统总容量为1568核，内存为9tb，存储为504tb， GPU为27K核。该集群由1台登录/存储服务器、8个计算节点、2个高内存节点、2个GPU节点、1个100gbps InfiniBand互连和1个10gbps以太网组成。UWM研究人员可以在本地访问这些节点，外部研究人员可以通过开放科学网格访问这些节点，并通过网络安全和监控方面的最佳实践进行保护。集群实现了大型CPU计数，GPU内核，大内存和存储之间的平衡，为不同的研究人员群体提供灵活和响应的资源，以执行他们复杂的计算分析。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。

项目成果

Evaluation of Heat Transfer Enhancement on Rotational Gas Turbine Blade Internal Cooling Channel With Dimpled Surface

凹坑表面旋转燃气轮机叶片内冷通道强化传热评价

• DOI: 10.1115/1.4054288
• 发表时间: 2022
• 期刊: Journal of energy resources technology
• 作者: Farah Nazifa Nourin, Brinn Leighton