CC* Regional Computing: Helping Our Researchers Upgrade their Science (HORUS)

CC* 区域计算：帮助我们的研究人员提升他们的科学水平 (HORUS)

• 批准号: 2232628
• 负责人: Shawn McKee
• 金额: $ 100万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2232628&HistoricalAwards=false
• 关键词: CC; Regional; Computing; Helping; Our

The HORUS project combines existing large-scale scientific data storage from the previously funded NSF OSiRIS project with a broad range of computational resources to enable accelerated scientific discovery for universities, colleges and community colleges in Michigan and the surrounding regions. The project focuses on providing easy access to diverse computing and storage resources, both of which are required for scientific research and analysis. This will be especially beneficial for researchers at smaller institutions, enabling them to more effectively contribute to society by expediting their research. In addition, through its connection to OSG and the PATh project, it will serve as an on-ramp to even larger scale resources across the nation when that is needed.The project establishes a set of compute servers to complement the existing OSIRIS storage system attached to the MERIT statewide research and education network in Michigan. The system consists of 4 GPU nodes (each with two A100 GPUs), 10 Large Memory compute nodes (each with two AMD Epyc 7F72 3.2 GHz 24 core processors) and 10 compute nodes (each with 2 AMD Epyc 7H12 2.6GHz 64 core processors). This resource and associated services provide computational services to a suite of universities including University of Michigan, Wayne State University, Oakland University, Eastern Michigan University, and Oakland Community College.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.

HORUS项目将先前资助的美国国家科学基金会OSiRIS项目现有的大规模科学数据存储与广泛的计算资源相结合，为密歇根州及周边地区的大学、学院和社区学院加速科学发现。该项目的重点是为科学研究和分析所需的各种计算和存储资源提供方便的访问。这将对小型机构的研究人员特别有益，使他们能够通过加快他们的研究更有效地为社会做出贡献。此外，通过与OSG和PATh项目的连接，它将在需要时成为全国范围内更大规模资源的入口。该项目建立了一套计算服务器，以补充附加到密歇根州MERIT全州研究和教育网络的现有OSIRIS存储系统。系统由4个GPU节点（每个节点配置2个A100 GPU）、10个Large Memory计算节点（每个节点配置2个AMD Epyc 7F72 3.2 GHz 24核处理器）和10个计算节点（每个节点配置2个AMD Epyc 7H12 2.6GHz 64核处理器）组成。该资源和相关服务为一系列大学提供计算服务，包括密歇根大学、韦恩州立大学、奥克兰大学、东密歇根大学和奥克兰社区学院。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。