Equipment: MRI: Track 2 Acquisition of a High-Performance Computing Cluster for Boosting Artificial Intelligence Enabled Science, Engineering, and Education in South Carolina

设备： MRI：第二轨道收购高性能计算集群，以促进南卡罗来纳州人工智能支持的科学、工程和教育

• 批准号: 2320292
• 负责人: Ming Hu
• 金额: $ 110万
• 依托单位: University of South Carolina at Columbia
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2026-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2320292&HistoricalAwards=false
• 关键词: Equipment; MRI; Track; Acquisition; Performance

This Major Research Instrumentation (MRI) project aims to establish a new High-Performance Computing (HPC) instrument with balanced Central Processing Unit (CPU) and Graphics Processing Units (GPU) nodes at the University of South Carolina (USC). This facility will significantly improve the existing HPC resources at USC, which will boost research in diverse fields such as materials science, physics, chemistry, engineering, computer science, bioinformatics, health science and humanities, all enhanced by the HPC, big data and artificial intelligence (AI) tools. Moreover, this instrument will enable access to HPC resources and AI training for students and faculty at over 10 undergraduate institutions in South Carolina (SC), including historically black and minority-serving colleges, creating opportunities for cutting-edge HPC/AI-for-Science research for underrepresented groups in STEM.This project will advance fundamental science, engineering, health sciences and humanities, through collaboration among many partnering institutions across the USC system and SC state, and contribute to national research priorities in energy, climate and national security. The new HPC facility will enable researchers to perform large-scale simulated data acquisition for AI model training. The new instrument will be employed for state-of-the-art analytics, AI algorithms and data visualization. Research efforts centered on ab initio quantum physics and chemistry, molecular dynamics, computational fluid dynamics, multi-universe stochastic models and data-intensive deep learning and graph convolutional neural networks, will advance our knowledge of cyber-physical systems and materials. This knowledge will contribute to the development of innovative applications such as generative design of materials, effective intervention and prevention mechanisms for complex diseases.This project will greatly broaden access to the HPC-AI computing facility in SC and will provide holistic AI and HPC training through technical workshops, undergraduate research scholarships and AI-for-Science projects and high-school summer camps. This instrument will also enhance and promote interdisciplinary collaborations among regional consortium researchers, including scientists and students at Primarily Undergraduate Institutions (PUIs) serving historically underrepresented groups, leading to an organic growth of the research community in SC. Over 3,000 people including 315 faculty, 2,550 graduate and undergraduate students, 90 high school students and 30 departments across USC and 10 PUIs will immediately benefit from this HPC equipment.The project website for public access will be http://ai4science.sc.edu. It will serve as the depository for all research products generated throughout the project, such as data, codes, results, emulators and simulators. The project website will be maintained for at least 5 additional years beyond the project period.This project is jointly funded by the Major Research Instrumentation program and 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.

该主要研究仪器 (MRI) 项目节点旨在在南卡罗来纳大学 (USC) 建立一个具有平衡中央处理单元 (CPU) 和图形处理单元 (GPU) 的新型高性能计算 (HPC) 仪器。显着改善南加州大学现有的 HPC 资源，这将促进材料科学、物理、化学、工程、计算机科学、生物信息学、健康科学和人文等不同领域的研究，这些领域都将通过 HPC、大数据和人工智能得到增强此外，该工具将使南卡罗来纳州 (SC) 10 多个本科院校的学生和教师能够获得 HPC 资源和 AI 培训，其中包括历史上为黑人和少数族裔服务的大学，从而为尖端技术创造机会。针对 STEM 中代表性不足群体的 HPC/AI 科学研究。该项目将通过南加州大学系统和南卡罗来纳州的许多合作机构之间的合作，推动基础科学、工程、健康科学和人文学科的发展，并为国家能源研究重点做出贡献、气候和民族新的 HPC 设施将使研究人员能够进行大规模模拟数据采集，以进行人工智能模型训练，以从头开始进行最先进的分析、人工智能算法和数据可视化研究工作。量子物理和化学、分子动力学、计算流体动力学、多宇宙随机模型以及数据密集型深度学习和图卷积神经网络，将增进我们对网络物理系统和材料的了解，这些知识将有助于创新的发展。应用程序，例如材料的生成设计、复杂疾病的有效干预和预防机制。该项目将大大拓宽南卡罗来纳州 HPC-AI 计算设施的使用范围，并将通过技术研讨会、本科生研究奖学金和 AI-for-Science 提供全面的 AI 和 HPC 培训该工具还将加强和促进区域联盟研究人员之间的跨学科合作，包括为历史上代表性不足的群体服务的主要本科院校 (PUI) 的科学家和学生，从而导致南卡罗来纳州研究社区的有机增长。超过包括 315 名教员、2,550 名研究生和本科生、90 名高中生以及南加州大学 30 个系和 10 个 PUI 在内的 3,000 人将立即受益于该 HPC 设备。可供公众访问的项目网站为 http://ai4science.sc.edu。它将作为整个项目中生成的所有研究产品的存储库，例如数据、代码、结果、仿真器和模拟器。项目网站将维护至少 5 个额外时间。该项目由主要研究仪器计划和刺激竞争性研究既定计划 (EPSCoR) 共同资助。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优点和能力进行评估，被认为值得支持。更广泛的影响审查标准。