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

劳伦斯2.0项目扩展和更新了南达科他州大学（USD）的劳伦斯高性能计算集群，推动了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国家重点领域，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。该项目还补充和加强了现有的人工智能研究和教育计划，通过跟上对高度可访问的GPU加速计算日益增长的需求，特别是对高性能计算的新用户。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，为南达科他州规模较小的学院和大学提供研究和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，将Lawrence上所有未使用的计算周期提供给OSG开放科学池。该项目包括实现以下四个关键目标：（1）增加Lawrence集群的容量，以加速整个南达科他州的研究项目的进展;（2）通过实施开放式按需软件来实现集群访问，减少个人进入的障碍;（3）通过更换劳伦斯老化的核心组件，避免科学进步的中断;以及（4）通过有针对性地向区域合作者和部落机构推广，扩大高性能计算的参与和影响。该项目正在产生影响，并扩大了EPSCoR州南达科他州的研究和STEM教育。高级网络基础设施办公室颁发的这一奖项得到了刺激竞争性研究既定计划（EPSCoR）的联合支持。该奖项反映了NSF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力审查标准进行评估，被认为值得支持。

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.