MRI: Acquisition of Hardware for the Enhancement of the ELSA High Performance Computing Cluster to Enable Computational Research at The College of New Jersey

MRI：采购硬件以增强 ELSA 高性能计算集群，以支持新泽西学院的计算研究

基本信息

批准号：
1828163
负责人：
Joseph Baker
金额：
$ 65.1万
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：
2018
资助国家：
美国
起止时间：
2018-09-01 至 2021-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1828163&HistoricalAwards=false
关键词：
MRI Acquisition Hardware Enhancement ELSA

项目摘要

The College of New Jersey (TCNJ) will acquire equipment to significantly upgrade and enhance the Electronic Laboratory for Science and Analysis (ELSA) High Performance Computing cluster. TCNJ is a primarily undergraduate institution promoting a deep engagement of undergraduate students in research. Many of TCNJ's School of Science faculty members are working at the cutting edge of computational research in their fields, which include a broad range of areas including biochemistry/biophysics, genetics, bioinformatics, astrophysics, machine learning, and mathematical biology. In order to maintain a diverse and state of the art resource that meets the current and future computational needs of TCNJ's faculty and undergraduate students the current ELSA cluster requires targeted hardware enhancements. The new instrument will (1) enhance the research capacity and resulting scientific discovery of TCNJ's School of Science faculty members and their undergraduate research teams; (2) expose a greater number of undergraduate students and researchers to this powerful computational infrastructure through a series of newly developed High Performance Computing and data visualization short courses and workshops; and (3) improve access to the ELSA cluster for students traditionally underrepresented in STEM, as well as to researchers beyond TCNJ through a new collaboration with Open Science Grid.This project will expand the research programs of more than 13 faculty members (many of whom are early career faculty) spanning all five of TCNJ's School of Science departments. The computationally intensive work that will be supported through this project includes a diverse array of scientific efforts, including studies of pilus biomechanics, estimations of cell signaling processes, methods for investigating the strength of passwords and security of password systems, and improving our understanding of the most energetic objects in the universe. Currently, the research programs of TCNJ faculty members in these and other areas are restricted by inadequate graphic processing unit (GPU) resources and by the slow speed aging central processing unit (CPU) servers part of the current instrumentation. The new ELSA cluster will allow faculty and student researchers at TCNJ to run workflows ranging from embarrassingly parallel computations, to those that necessitate high levels of parallelization over hundreds of cores, intensive GPU computations, and remote visualization of simulation results. The instrument will thus ensure that these research programs are able to reach their full potential. This project will also benefit nearly 100 undergraduate student researchers each year who are part of these labs and work directly on the cluster. As a result, in addition to improving the capacity for scientific discovery, the proposed acquisition will help TCNJ meet the demands of developing an undergraduate workforce that is ready to leverage increasingly powerful High-Performance Computing resources, now and in their future 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.

新泽西学院（TCNJ）将获得设备，以显着升级和增强科学与分析的电子实验室（ELSA）高性能计算集群。 TCNJ是一家主要的本科机构，促进了本科生从事研究的深入参与。 TCNJ科学学院的许多教职员工都在其领域的计算研究的最前沿工作，其中包括各种领域，包括生物化学/生物物理学，遗传学，生物信息学，天体物理学，机器学习和数学生物学。为了维持满足TCNJ教职员工和本科生当前和未来的计算需求的多样化和状态，目前的ELSA群集需要有针对性的硬件增强功能。新工具将（1）提高研究能力并导致TCNJ科学学院成员及其本科研究团队的科学发现；（2）通过一系列新开发的高性能计算和数据可视化短期课程和研讨会，使更多的本科生和研究人员接触了这一强大的计算基础架构；（3）通过与Open Science Grid进行的新合作，为学生提供了传统上代表性不足的学生的ELSA群集，以及TCNJ以外的研究人员的访问权限。该项目将扩大13多名教职员工（其中许多是早期职业教师）的研究计划，这些研究计划涵盖TCNJ科学系的所有五个学院。该项目将支持的计算密集型工作包括各种科学努力，包括对PILUS生物力学的研究，对细胞信号过程的估算，调查密码强度和密码系统安全性的方法，以及我们对宇宙中最有能力的对象的理解。当前，这些领域和其他领域的TCNJ教职员工的研究计划受到图形处理单元（GPU）资源不足的限制以及当前仪器的一部分的慢速老化中央处理单元（CPU）服务器的一部分。新的ELSA群集将使TCNJ的教师和学生研究人员能够运行从尴尬的并行计算，到需要数百个核心，密集的GPU计算以及模拟结果的远程可视化的核心高水平平行化的工作流程。因此，该工具将确保这些研究计划能够发挥其全部潜力。该项目还将受益于每年近100名本科生研究人员，这些研究人员是这些实验室的一部分并直接在集群上工作。结果，除了提高科学发现的能力外，拟议的获取还将有助于TCNJ满足发展本科劳动力的需求，该劳动力现在准备利用越来越强大的高性能计算资源，现在和未来的职业生涯中，该奖项都反映了NSF的法定任务，并反映了通过评估范围的支持者的支持者，该奖项已被评估范围和众所周知。