Equipment: MRI: Track 1 Acquisition of Current Hardware to Enhance Computational Research on the ELSA High Performance Computing Cluster at The College of New Jersey

设备： MRI：第一轨道采购当前硬件，以增强新泽西学院 ELSA 高性能计算集群的计算研究

• 批准号: 2320244
• 负责人: Joseph Baker
• 金额: $ 93.53万
• 依托单位: The College of New Jersey
• 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: 2023-09-15 至 2026-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2320244&HistoricalAwards=false
• 关键词: Equipment; MRI; Track; Acquisition; Current

In this project, The College of New Jersey (TCNJ) will acquire equipment to significantly upgrade and enhance our Electronic Laboratory for Science and Analysis (ELSA) High Performance Computing (HPC) cluster. As a primarily undergraduate institution, TCNJ is nationally recognized for the engagement of undergraduate students in research. School of Science faculty work closely with undergraduates in their laboratories throughout the academic year and during the summer in the Mentored Undergraduate Summer Experience (MUSE), with more than 75% of science graduates from TCNJ obtaining at least a semester of research experience. Over the course of this project, nearly 100 undergraduate student researchers per year will benefit by engaging in faculty-mentored research in labs from all School of Science departments (Physics, Chemistry, Biology, Mathematics and Statistics, and Computer Science) as well as in Civil Engineering. These research experiences are transformative for the students enabling their training in computing as well as facilitating their research in fields that include machine learning, astrophysics, biophysics, mathematical biology, and bioinformatics. Beyond the research laboratory, science faculty incorporate ELSA in their teaching, exposing 800-1000 undergraduates per year to advanced computing. TCNJ is also committed to creating a research-intensive environment for all STEM students by increasing success among underrepresented students and those with high financial need, including those that are transferring to TCNJ from local community colleges. The access to ELSA through collaboration with Open Science Grid is stimulating research programs and fostering alliances for collective impact.The TCNJ ELSA cluster is a heterogeneous HPC cluster housed in the TCNJ HPC Center. It is a state-of-the-art resource that will continue to meet the current and future computational needs of TCNJ’s science faculty and undergraduate students. The enhancements provided through this award will include the acquisition of high-end GPUs, fast, modern CPUs with fast interconnects and large memory capacities, and high speed network-based storage. The upgrades will directly benefit the research programs of 18 TCNJ faculty members, allowing them to continue to engage undergraduate students in transformative research experiences. The objective in designing a system with both GPU nodes and CPU nodes connected to high speed storage is to enable ELSA to run a diverse set of research workflows that reflect the varied and interdisciplinary computational research carried out by TCNJ faculty. The work of these faculty spans a range of interdisciplinary themes including (1) computational physics, (2) mathematical/computational biology, (3) genomics, (4) machine learning, and other areas. Some of the examples of the diverse scientific efforts that the cluster will support include molecular simulation studies of bacterial pilus biomechanics, assessing the habitability of circumbinary planets, using mathematical models to explore evolutionary tradeoffs in swimming performance across marine invertebrates, employing genomic approaches to characterize novel regulators of plant defenses against pests, and understanding how to reduce training data annotation costs in machine learning. Ultimately, the enhancements to the ELSA cluster in this project will significantly improve capacity for scientific discovery, and help TCNJ faculty prepare undergraduate students to leverage the increasingly powerful HPC resources of the future in their careers.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.

在该项目中，新泽西学院 (TCNJ) 将购买设备来显着升级和增强我们的科学与分析电子实验室 (ELSA) 高性能计算 (HPC) 集群。理学院教师在整个学年和暑假期间在本科生暑期指导体验 (MUSE) 中与本科生密切合作，超过 75% 的 TCNJ 理科毕业生获得了在该项目的过程中，每年有近 100 名本科生研究人员将受益于理学院所有系（物理、化学、生物学、数学和统计学、和计算机科学）以及土木工程方面的研究经验对于学生来说具有变革性，使他们能够接受计算培训，并促进他们在机器学习、天体物理学、生物物理学、数学生物学等领域的研究。除了研究实验室之外，科学教师将 ELSA 融入到他们的教学中，每年让 800-1000 名本科生接触先进计算，TCNJ 还致力于通过提高代表性不足的学生和高代表性学生的成功率，为所有 STEM 学生创造一个研究密集型环境。通过与 Open Science Grid 合作获得 ELSA 的机会正在刺激研究项目并促进联盟的集体影响力。 ELSA 集群是位于 TCNJ HPC 中心的异构 HPC 集群，它是最先进的资源，将继续满足 TCNJ 科学教师和本科生当前和未来的计算需求。将包括购买高端 GPU、具有快速互连和大内存容量的快速现代 CPU，以及基于高速网络的存储。这些升级将直接有利于 18 名 TCNJ 教员的研究项目，使他们能够开展研究项目。继续让本科生参与变革性的研究体验，设计一个同时连接高速存储的 GPU 节点和 CPU 节点的系统的目的是使 ELSA 能够运行一组多样化的研究工作流程，以反映所进行的各种跨学科计算研究。这些教师的工作涵盖了一系列跨学科主题，包括 (1) 计算物理学、(2) 数学/计算生物学、(3) 基因组学、(4) 机器学习和其他领域的一些例子。各种科学努力该集群将支持包括细菌菌毛生物力学的分子模拟研究，评估环双星行星的宜居性，使用数学模型探索海洋无脊椎动物游泳性能的进化权衡，采用基因组方法来表征植物防御害虫的新型调节剂，并了解如何最终，该项目中对 ELSA 集群的增强将显着提高科学发现的能力，并帮助 TCNJ 教师为本科生利用日益强大的 HPC 做好准备。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。