Research Infrastructure: CC* Campus Compute: Lawrence 2.0: Advancing Multi-Disciplinary Research and Education in South Dakota

研究基础设施：CC* 校园计算：Lawrence 2.0：推进南达科他州的多学科研究和教育

• 批准号: 2346643
• 负责人: Ryan Johnson
• 金额: $ 49.99万
• 依托单位: University of South Dakota Main Campus
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-07-01 至 2026-06-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2346643&HistoricalAwards=false
• 关键词: Research; Infrastructure; CC; Campus; Compute

The Lawrence 2.0 project expands and updates the Lawrence high performance computing cluster at the University of South Dakota (USD), advancing computationally intensive research and science education throughout South Dakota. The project's initial science and education use cases directly address several fields of immediate national prominence, including clean energy, sustainability, post-traumatic stress disorder, and the effects of anthropomorphic climate change. This project also complements and enhances existing Artificial Intelligence research and education initiatives at USD by keeping pace with growing demand for highly accessible GPU-accelerated computation, particularly among users who are new to high performance computing. Open and available to users at all educational institutions in South Dakota, the expanded Lawrence cluster bolsters research and STEM education opportunities at South Dakota's smaller colleges and universities. Additionally, the project increases USD's contributions to the Open Science Grid (OSG), with all unused compute cycles on Lawrence made available to the OSG Open Science Pool.The project consists of achieving the following four key objectives: (1) Adding capacity to the Lawrence cluster to accelerate progress on research projects throughout South Dakota; (2) Reducing individuals' barriers to entry by implementing Open OnDemand software for cluster access; (3) Avoiding disruptions to scientific progress by replacing Lawrence's aging core components; and (4) Broadening high performance computing participation and impact via targeted outreach to regional collaborators and tribal institutions. This project is having impact and expanding research and STEM education in South Dakota, an EPSCoR state.This award by the Office of Advanced Cyberinfrastructure is jointly supported by the Established Program to Stimulate Competitive Research (EPSCoR).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.

Lawrence 2.0 项目扩展并更新了南达科他大学 (USD) 的 Lawrence 高性能计算集群，推动整个南达科他州的计算密集型研究和科学教育。该项目最初的科学和教育用例直接涉及几个在全国范围内突出的领域，包括清洁能源、可持续性、创伤后应激障碍和拟人化气候变化的影响。该项目还补充和增强了 USD 现有的人工智能研究和教育计划，以满足对高度可访问的 GPU 加速计算日益增长的需求，特别是对于高性能计算新手来说。扩大后的劳伦斯集群向南达科他州所有教育机构的用户开放并开放，为南达科他州规模较小的学院和大学提供了研究和 STEM 教育机会。此外，该项目还增加了 USD 对开放科学网格 (OSG) 的贡献，劳伦斯上所有未使用的计算周期都可供 OSG 开放科学池使用。该项目包括实现以下四个关键目标：(1) 增加开放科学网格的容量劳伦斯集群将加快整个南达科他州研究项目的进展； (2) 通过实施 Open OnDemand 软件进行集群访问，降低个人进入门槛； （3）通过更换劳伦斯号老化的核心部件，避免对科学进步的干扰； (4) 通过有针对性地接触区域合作者和部落机构，扩大高性能计算的参与和影响。该项目正在南达科他州（EPSCoR 州）产生影响并扩大研究和 STEM 教育。该奖项由高级网络基础设施办公室颁发，并得到刺激竞争性研究既定计划 (EPSCoR) 的共同支持。该奖项反映了 NSF 的法定使命，并具有通过使用基金会的智力优点和更广泛的影响审查标准进行评估，被认为值得支持。