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.

荷鲁斯项目将现有的大规模科学数据存储结合在一起，从先前资助的NSF Osiris项目和广泛的计算资源结合了，为密歇根州及其周边地区的大学，学院和社区学院提供了加速的科学发现。 该项目致力于轻松访问多种计算和存储资源，这两者都是科学研究和分析所必需的。 这对较小机构的研究人员特别有益，使他们能够通过加快研究来为社会做出更有效的贡献。 此外，通过与OSG和路径项目的联系，它将在需要时作为全国更大规模的资源的坡道。该项目建立了一组计算服务器，以补充密歇根州绩效全州研究和教育网络的现有Osiris存储系统。该系统由4个GPU节点（每个gpu节点）组成，10个大存储器计算节点（每个都有两个AMD EPYC 7F72 3.2 GHz 24核心处理器）和10个计算节点（每个都有2个AMD EPYC 7H12 2.6GHz 64GHz 64核心处理器）。这项资源和相关服务为包括密歇根大学，韦恩州立大学，奥克兰大学，密歇根大学和奥克兰社区学院等大学提供了计算服务。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛的影响审查标准来通过评估来通过评估来支持的。