CC* Compute: Accelerating Science and Education by Campus and Grid Computing

高性能计算资源是现代研究的基本需求，它将几乎所有学科结合在一起。与这些资源打交道的经验也是为今天的学生准备广泛的职业生涯的重要工具。科罗拉多大学丹佛分校（University of Colorado Denver）的一群研究人员和教育工作者与该校信息技术办公室（Office of Information Technology）合作，正在市中心校区建立一个最先进的计算资源。新设施提供了第一个全校范围内的高性能计算机系统，以支持研究和教学工作。计算集群与开放科学网格（OSG）集成，能够访问来自合作机构的额外计算资源，并与更广泛的社区共享未使用的时间。高优先级的教育队列专门用于教学和课程研究。该资源将包括2048个AMD EPYC计算核心和分布在32个计算节点上的16TB内存；2个高内存节点，每个节点2TB内存，64核；一块NVIDIA Tesla V100 32GB GPU；1PB（原始）存储；和ib互连。对于数据密集型研究和OSG作业对分布式数据的访问，集群配置了从每个节点到Internet 2的完整端到端10gb/s连接。图形化的Jupyter笔记本界面增加了可访问性。该配置基于对科学和教育驱动因素的需求的调查和分析，解决了计算需求，这些领域包括地球和环境科学、生物技术和基因组学、计算机科学和工程、应用数学、物理和商业。该资源将扩大对计算科学的参与，并对所支持的研究产生重大影响。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。

High-performance computing resources are a fundamental need of modern research that unites almost all disciplines. Experience with these resources is also an important tool for preparing today's students for a wide range of careers. A group of researchers and educators at the University of Colorado Denver, in partnership with its Office of Information Technology, are building a state-of-the-art computing resource on its Downtown Campus. The new facility provides the first campus-wide high-performance computer system to support both research and teaching efforts. The computing cluster is integrated with the Open Science Grid (OSG), enabling access to additional computing resources from partner institutions, and sharing unused time with the wider community. A high-priority educational queue is dedicated for teaching and course-based research. The resource will include 2048 AMD EPYC compute cores and 16TB memory distributed across 32 compute nodes; 2 high-memory nodes, each with 2TB memory and 64 cores; one NVIDIA Tesla V100 32GB GPU; 1PB (raw) storage; and InfiniBand interconnect. For data-intensive research and access of OSG jobs to distributed data, the cluster is configured with full end-to-end 10gb/s connectivity from each node to Internet 2. A graphical Jupyter notebook interface increases accessibility. The configuration addresses computing requirements based on a survey and an analysis of the needs of science and educational drivers in fields including earth and environmental sciences, biotechnology and genomics, computer science and engineering, applied mathematics, physics, and business. The resource will broaden participation in computational science and have a significant impact on the supported research.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.