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、阿德尔菲大学和拿骚社区学院正在通过协作努力构建高性能计算(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，使教职员工和学生能够从事与计算机相关的教学、学习和研究活动，而这些活动以前在各种学科的学术环境中是不可行的。所有在HPC集群上进行研究的主要用户将利用其能力来解决其领域中长期存在的问题，利用这一尖端技术来提升知识并探索创造性的、潜在的变革性概念。高性能计算集群对科学、技术、工程和数学领域的效用至关重要，并将支持该设备的20多个主要用户的研究和教学，这是一个跨学科的协作教员小组，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。现场HPC集群对研究的影响体现在一些主要的研究领域，包括1)揭示电子溶剂化对分子结构的影响，2)对p掺杂半导体中的受体-受体相互作用进行建模，以支持基于受主自旋的量子计算，3)使用进化算法进行人工神经网络和加速器联合设计，以及4)采用先进的磁性技术(可打印的)形式的自主闭合。从生物、物理和化学到计算机科学和工程，HPC集群的多学科效用对继续探索和进步至关重要。HPC集群的每个主要用户将涉及计算机实验室实验的本科生，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多国办事处还将通过霍夫斯特拉大学暑期科学研究方案，将高中学生的研究和教学经验纳入其中。主要用户进行的一些项目将转化为以课程为基础的本科生研究体验。HPC集群将在整个赠款过程中保持，此后将在霍夫斯特拉大学的科学和创新中心进行。HPC专题组的网站将是www.hofstra.edu/starhpc，并将定期更新有关研究项目、主要用户和涉及HPC专题组的班级课程的信息。网站上将提供关于HPC集群的详细解释、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智力优势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.