MRI: Acquisition of a High-Performance GPU Cluster for Research and Education

图形处理单元（GPU）-加速）已成为一个有用的，如果不是必不可少的，计算任务的工具，以支持跨广泛的学科，从数据科学到生物科学，物理和社会科学领域的调查。因此，增加GPU加速计算能力，包括混合GPU/CPU计算节点集群的HPC系统，霍克在蒙特克莱尔州立大学提供了关键的支持，研究和教育活动，在整个机构，这共享需要这种能力。这些调查中的每一项的影响都因用户使用该系统提供的GPU加速计算能力而放大。此外，通过作为高性能GPU加速计算的焦点，该系统刺激和支持研究人员及其外部合作者的跨学科合作。在大学的设置中，指定的西班牙裔服务机构拥有多样化的学生团体，PI以及其他主要用户在本科和研究生教育活动中利用该工具，增强这些学生的STEM教育，其中包括很大一部分是高等教育中的第一代学生。 该仪器既能吸引各类学生的兴趣，又能为他们提供前沿计算方面的培训，从而通过“动手”使用GPU加速的HPC以及该平台支持的计算工具和技术，激励他们并使他们做好准备，成为未来STEM劳动力的一部分。根据该合同获得的计算节点（计算机处理单元）被集成到Hawk系统中。这些节点构成了蒙特克莱尔州立大学研究和教育计算能力的实质性和变革性扩展，该州立大学以前没有通用的GPU加速HPC。 通过利用Hawk群集的资源，计算节点群集的效用得到显著增强。该系统配置为不仅可供PI访问，还可供整个机构的用户及其外部合作者访问，并支持多个正在进行的GPU加速研究活动，包括（1）计算和数据科学，（2）生物学和基因组学，（3）地貌学和土地利用，（4）计算数学，（5）应用数学，（6）业务分析，（7）语言学。这些合作包括实施新技术和方法（例如，该奖项反映了NSF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。

Graphics Processing Unit(GPU)-acceleration) has become a useful, if not essential, tool for computational tasks in support of investigations across a wide range of disciplines, from data science to biological sciences to physical and social-science areas. Therefore, the addition of GPU-accelerated computing capacity comprising a cluster of hybrid GPU/CPU compute nodes to the HPC system, Hawk at Montclair State University provides critical support for research and education activities, across the Institution, which share the need for this capacity. The impact of each of these investigations is magnified by users’ access to the GPU-accelerated computing capacity provided by this System. Moreover, by serving as a focal point for high-performance, GPU-accelerated computing, the system stimulates and supports collaboration across disciplines by investigators as well as their external collaborators. In the setting of the university, a designated Hispanic-Serving Institution with a diverse student body, PIs, as well as other major users utilize this instrument in both undergraduate and graduate education activities that enhance the STEM education for these students, including a significant proportion who are first-generation students in higher education. The instrument serves to both attract the interest of --and provide training in leading-edge computing to-- a diverse group of students in order to inspire and prepare them to be part of the future STEM workforce by providing `hands on’ access to GPU-accelerated HPC and the computing tools and techniques enabled by this platform.The cluster of hybrid GPU/CPU (Computer Processing Units) compute nodes acquired under this award are integrated to the Hawk system. These nodes constitute a substantial and transformative expansion of computing capacity for research and education at Montclair State, which previously had no generally accessible GPU-accelerated HPC. The utility of the cluster of compute nodes is significantly enhanced by leveraging the resources of the Hawk cluster. The System is configured to be accessible to not only PIs, but also to users across the Institution, as well as their external collaborators and supports multiple ongoing GPU-accelerated research activities including investigations in (1) computing and data science, (2) biology and genomics, (3) geomorphology and land use, (4) computational mathematics, (5) applied mathematics, (6) business analytics, and (7) linguistics. These collaborations include the implementation of new techniques and approaches (e.g., machine learning and deep neural networks) to both emerging and long-standing problems in these disciplines.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.