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

霍夫斯特拉大学（Hofstra University）、阿德尔菲大学（Adelphi University）和拿骚社区学院（Nassau Community College）正在通过协作努力构建一个高性能计算（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是不可行的。所有对HPC集群进行研究的主要用户都将利用其能力来解决他们所在领域的长期问题，从而通过这项尖端技术来推进知识和探索创造性的、潜在的变革性概念。高性能计算集群在科学、技术、工程和数学领域的应用至关重要，它将支持20多个主要设备用户的研究和教学，成为霍夫斯特拉大学、阿德尔菲大学和拿骚社区学院六个系的跨学科和协作小组。现场HPC集群对研究的影响通过一些需要解决的主要研究领域来举例说明，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。4)采用先进的磁性技术，以“可打印”磁铁的形式自动缝合伤口。从生物学、物理学、化学到计算机科学和工程，高性能计算集群的多学科应用对持续探索和进步至关重要。HPC集群的每个主要用户都将涉及计算机实验室实验的本科生，并且实验室课程将能够建模和模拟以前不可能的系统。HPC集群的扩展还将包括通过霍夫斯特拉大学暑期科学研究计划的高中生研究和教学经验。一些主要用户进行的项目将转化为基于课程的本科生研究经验。HPC集群将在资助期间和之后在霍夫斯特拉大学的科学与创新中心维持。HPC集群的网站将是www.hofstra.edu/starhpc，并将定期更新有关HPC集群的研究项目、主要用户和课堂课程的信息。详细介绍HPC集群，使用HPC集群所需的信息，以及如何成为HPC集群的用户将在网站上提供。该奖项反映了美国国家科学基金会的法定使命，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。

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.