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.

正在通过协作努力建立高性能计算（HPC）集群，以支持Hofstra大学，阿德尔菲大学和拿骚社区学院的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，而这些教学和研究活动以前在各种学科的学术环境中不可行。对HPC群集进行研究的所有主要用户都将利用其能力解决其领域长期存在的问题，通过这种尖端技术来促进知识并探索创造性的，潜在的变革性概念。高性能计算集群的实用性对科学，技术，技术，工程领域和数学领域至关重要，并将在整个设备上进行研究和教学，以多种多样的培训来训练，这是一个比较重要的一员。分布在霍夫斯特拉大学，阿德尔菲大学和拿骚社区学院的六个系中。一些要解决的主要研究领域的影响，包括1）揭示电子求解对分子的结构影响，2）在P型半导体中建模受体 - 基于spin量子计算，3）使用ARTAMEN MENARATER CORINGRAINS CORERAGE，3）使用“可打印”磁铁形式的先进磁技术的自主伤口封闭。从生物学，物理学和化学到计算机科学和工程学，HPC群集的多学科效用对于持续探索和进步至关重要。 HPC群集的每个主要用户都将涉及本科生参加计算机实验室实验，实验室课程将能够建模以前是不可能的。 HPC集群的外展活动还将通过Hofstra University Summer Science Research计划包括高中学生的研究和教学经验。主要用户进行的一些项目将转换为基于课程的本科研究经验。HPC集群将通过赠款和此后的霍夫斯特拉大学科学与创新中心维护。 HPC群集的网站将是www.hofstra.edu/starhpc，并将定期更新有关研究项目，主要用户和类课程的信息，涉及HPC群集。 HPC群集的详细说明，使用HPC群集所需的信息以及如何在网站上提供用户。该奖项反映了NSF的法定任务，并且认为值得通过基金会的知识分子优点和更广泛影响的评估标准通过评估来获得支持。