MRI: Track 1 Acquisition of an HPC Cluster for Artificial Intelligence, Machine Learning, Scientific Computing, and Interdisciplinary Research

MRI：第一轨道收购用于人工智能、机器学习、科学计算和跨学科研究的 HPC 集群

• 批准号: 2320735
• 负责人: Edward Currie
• 金额: $ 100万
• 依托单位: Hofstra University
• 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=2320735&HistoricalAwards=false
• 关键词: MRI; Track; Acquisition; HPC; Cluster

A high-performance computing (HPC) cluster is being built through a collaborative endeavor to support computation- and data-intensive applications at Hofstra University, Adelphi University, and Nassau Community College. The cluster will provide an environment that enables faculty and students to engage in computer-related teaching, learning, and research activities that were not previously feasible in an academic setting for a variety of disciplines. All of the major users who conduct research on the HPC cluster will leverage its capabilities to address long-standing questions in their fields to advance knowledge and explore creative, potentially transformative concepts with this cutting-edge technology.The utility of a high-performance computing cluster to the science, technology, engineering, and mathematics fields is critical and will support the research and teaching of more than twenty major users of the equipment, being an interdisciplinary and collaborative group of faculty spread across six departments at Hofstra University, Adelphi University, and Nassau Community College. The impact of an on-site HPC cluster for research is exemplified by some of the main areas of research to be addressed, including 1) revealing the structural impact of electron solvation on molecules, 2) modeling acceptor-acceptor interactions in p-doped semiconductors in support of acceptor-spin-based quantum computation, 3) artificial neural network and accelerator co-design using evolutionary algorithms, and 4) autonomous wound closure employing advanced magnetic technology in the form of “printable” magnets.From biology, physics, and chemistry to computer science and engineering, the multidisciplinary utility of a HPC cluster is vital to continued exploration and advancement. Each major user of the HPC cluster will involve undergraduate students in computer laboratory experiments, and laboratory classes will be able to model and simulate systems that were impossible previously. The outreach of the HPC cluster will also include high school student research and teaching experiences through the Hofstra University Summer Science Research Program. Some of the projects conducted by the major users will be converted into course-based undergraduate research experiences.The HPC cluster will be maintained through the course of the grant and thereafter in the Science and Innovation Center at Hofstra University. The website for the HPC cluster will be www.hofstra.edu/starhpc and will be updated regularly with information pertaining to research projects, major users, and class curriculum involving the HPC cluster. A detailed explanation of the HPC cluster, the information needed to use the HPC Cluster, and how to become a user will be provided on the website.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.

霍夫斯特拉大学、阿德菲大学和拿骚社区学院正在通过协作奋进构建高性能计算（HPC）集群，以支持计算和数据密集型应用程序。该集群将提供一个环境，使教师和学生能够从事与计算机相关的教学，学习和研究活动，这些活动以前在各种学科的学术环境中不可行。对HPC集群进行研究的所有主要用户都将利用其功能来解决各自领域中长期存在的问题，从而利用这一尖端技术推进知识并探索具有创造性和潜在变革性的概念。高性能计算集群在科学、技术、工程、和数学领域是至关重要的，并将支持研究和教学的20多个主要用户的设备，作为一个跨学科和协作小组的教师分布在六个部门在霍夫斯特拉大学，阿德尔菲大学，和拿骚社区学院。现场HPC集群对研究的影响体现在一些主要研究领域，包括1）揭示电子溶剂化对分子的结构影响，2）模拟p掺杂半导体中的受体-受体相互作用，以支持基于受体自旋的量子计算，3）使用进化算法的人工神经网络和加速器协同设计，以及4）以“可打印”磁体的形式采用先进的磁性技术的自主伤口闭合。从生物学、物理学和化学到计算机科学和工程，HPC集群的多学科效用对于持续探索和进步至关重要。HPC集群的每个主要用户都将让本科生参与计算机实验室实验，实验室课程将能够对以前不可能的系统进行建模和模拟。HPC集群的推广还将包括通过霍夫斯特拉大学夏季科学研究计划提供的高中学生研究和教学经验。主要用户进行的一些项目将转化为基于课程的本科生研究经验。HPC集群将在拨款期间以及之后在霍夫斯特拉大学的科学与创新中心进行维护。HPC集群的网站将是www.hofstra.edu/starhpc，并将定期更新与HPC集群相关的研究项目、主要用户和课程的相关信息。该网站将提供HPC集群的详细说明、使用HPC集群所需的信息以及如何成为用户。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审查标准进行评估，被认为值得支持。