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

威斯康星大学密尔沃基分校(UWM)正在建设和部署一个现代化、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、大气科学、生物医学科学、工程、淡水科学、物理和其他领域中不断增长但独特的计算、存储和内存研究需求。该集群使UWM研究人员能够推动他们研究的计算前沿，创建尖端计算工具，并扩展他们的计算以在XSEDE等国家资源上运行。该系统还被集成到开放科学网格中，以充分利用闲置的计算资源，以增强地方、地区和国家的科学计算能力。最后，该集群为学生研究和计算密集型课程提供了对大规模计算资源的卓越访问，从而增强了本科生和研究生的教育和研究能力。集群的系统总容量为1,568核、9 TB RAM、504 TB存储和27K GPU内核。集群由一台登录/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100 Gbps InfiniBand互连和1个10 Gbps以太网络组成。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，并使用网络安全和监测方面的最佳做法进行保护。该集群实现了大CPU计数、GPU核心、大内存和存储之间的平衡，为不同的研究人员组提供灵活且响应迅速的资源，以执行其复杂的计算分析。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

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.